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Information Architecture for the World Wide Web
Designing Large-Scale Web Sites

Third Edition Dezember 2006
ISBN 978-0-596-52734-1
526 Seiten
EUR32.00

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Inhaltsverzeichnis | Index | Probekapitel | Kolophon |


Inhaltsverzeichnis

	
Chapter 1: Defining Information Architecture
Inhaltsvorschau
We shape our buildings: thereafter they shape us.
—Winston Churchill
What we’ll cover:
What is (and isn’t) information architecture
Why information architecture is important
The value of explaining and illustrating IA concepts
What is it about buildings that stirs us? Whether we’re architectural connoisseurs or just plain folks, we are all emotionally engaged by the physical structures we experience throughout our lives.
Each building serves a different purpose. A bustling café with hardwood floors and large windows facing Main Street provides the ideal place for a quick breakfast meeting. A steel-and-glass high-rise with its mix of cubes and offices envelops inhabitants in a collaborative, high-energy work environment. A dark, smoky bar with tin ceilings and exposed brick walls becomes a sanctuary from the whirl of modern life. And a medieval Gothic cathedral adorned with granite sculptures, stained-glass windows, and towers that reach for the heavens provides an experience both humbling and inspirational.
Each building serves its purpose uniquely. Architecture, design, construction, furnishings, inhabitants, and location all play major roles in shaping the overall experience. All elements must work together. In successful buildings, the whole is greater than the sum of its parts.
Why begin a book about web sites by writing about buildings? Because the architectural analogy is a powerful tool for introducing the complex, multidimensional nature of information spaces. Like buildings, web sites have architectures that cause us to react.
Some web sites provide logical structures that help us find answers and complete tasks. Others lack any intelligible organization and frustrate our attempts to navigate through them. We can’t find the product we need; we can’t locate the report we found last week; we’re lost inside an online shopping cart. These web sites may remind us of buildings that fail: houses with flat roofs that leak, kitchens with no counter space, office towers with windows you can’t open, and mazelike airports with misleading signs.
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A Definition
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If you’re new to the field, you may still be wondering: what exactly is information architecture? This section is for you.
informationarchitecture n.
1. The structural design of shared information environments.
2. The combination of organization, labeling, search, and navigation systems within web sites and intranets.
3. The art and science of shaping information products and experiences to support usability and findability.
4. An emerging discipline and community of practice focused on bringing principles of design and architecture to the digital landscape.
Were you expecting a single definition? Something short and sweet? A few words that succinctly capture the essence and expanse of the field of information architecture? Keep dreaming!
The reason we can’t serve up a single, all-powerful, all-purpose definition is a clue to understanding why it’s so hard to design good web sites. We’re talking about the challenges inherent in language and representation. No document fully and accurately represents the intended meaning of its author. No label or definition totally captures the meaning of a document. And no two readers experience or understand a particular document or definition or label in quite the same way. The relationship between words and meaning is tricky at best.
We’ll now descend from our philosophical soapbox and get down to basics. Let’s expand on our definitions to explore some basic concepts of information architecture.
Information
We use the term information to distinguish information architecture from data and knowledge management. Data is facts and figures. Relational databases are highly structured and produce specific answers to specific questions. Knowledge is the stuff in people’s heads. Knowledge managers develop tools, processes, and incentives to encourage people to share that stuff. Information exists in the messy middle. With information systems, there’s often no single “right” answer to a given question. We’re concerned with information of all shapes and sizes: web sites, documents, software applications, images, and more. We’re also concerned with
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Tablets, Scrolls, Books, and Libraries
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Humans have been structuring, organizing, and labeling information for centuries. Back in 660 B.C., an Assyrian king had his clay tablets organized by subject. In 330 B.C., the Alexandria Library housed a 120-scroll bibliography. In 1873, Melvil Dewey conceived the Dewey Decimal System as a tool to organize and provide access to the growing number of books.
In modern times, most of us become familiar with the basics of information organization through our experiences with books and libraries. Table 1-1 shows how the concepts of information architecture (IA) apply to the world of print and the World Wide Web.
Table : Differences between books and web sites
IA conceptBooksWeb sites
ComponentsCover, title, author, chapters, sections, pages, page numbers, table of contents, indexMain page, navigation bar, links, content pages, sitemap, site index, search
DimensionsTwo-dimensional pages presented in a linear, sequential orderMultidimensional information space with hypertextual navigation
BoundariesTangible and finite with a clear beginning and endingFairly intangible with fuzzy borders that “bleed” information into other sites
As we go beyond books to collections of books, the comparisons become even more interesting. Imagine a bookstore with no organization scheme. Thousands of books are simply tossed into huge piles on table tops. Such a bookstore does, in fact, exist: Gould’s Book Arcade in Newtown, Australia. It’s shown in Figure 1-1.
Figure 1-1: Gould’s Book Arcade (image courtesy of Seth Gordon)
From a philosophical perspective, you might feel that this casual jumble of books represents a refreshing break from the rigid structures of everyday life. And this bookstore really can provide a wonderful browsing experience filled with adventure and serendipity. But if you arrive seeking a specific book or if you have a particular author or topic in mind, you’re almost guaranteed to have a long and painful needle-in-the-haystack experience.
Compare the chaos of this bookstore to the order of a library (see Figure 1-2). Even on the surface, the contrast is like night and day. But look deeper and you’ll see that a library is more than a warehouse for books, magazines, and music. There are complex systems and well-trained professionals operating behind the scenes to select, evaluate, label, describe, structure, and organize the collection so that users of the library can find what they need. And though the library’s information environment is highly structured, the subject-oriented approaches of the Dewey Decimal and Library of Congress classification schemes also support exploratory browsing and serendipity.
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Explaining IA to Others
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One of the most frustrating things about being an information architect is the fact that most of your family members and neighbors will never have a clue what you do. The more you try to explain it, the more confused or bored they become. Their eyes glaze over. They nod politely. Then comes the desperate attempt to change the subject. “Hey, speaking of information architecture, did you hear tomorrow’s weather report?”
Friends and relatives aren’t the only tough audience. Sometimes you have to sell the concept to colleagues, clients, or managers. Each audience presents its own set of challenges. There’s no magic bullet, but it’s helpful to be prepared with an “elevator pitch” and an analogy suited to your particular audience.
The elevator pitch explains what you do in a sentence or two of plain language. If you can combine an analogy that resonates with your audience, even better!
Here are a few approaches to try out:
  • “I’m an information architect. I organize huge amounts of information on big web sites and intranets so that people can actually find what they’re looking for. Think of me as an Internet librarian.”
  • “I’m an information architect. I help my company by making it easy for customers to find our products on our web site. I’m a kind of online merchandiser. I apply one-to-one marketing concepts on the Internet.”
  • “I’m an information architect. I’m the one who takes on that information overload problem that everyone’s been complaining about lately.”
Sometimes we’re too close to what we do. That’s when it’s a good idea to call for help. Ask someone who’s familiar with you and your job to describe what you do in one or two sentences. Often you’ll be amazed by how well they nail it, and grateful for their clarity and brevity.
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What Isn’t Information Architecture?
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One of the most effective ways to define something is to identify its boundaries. We do this all the time. This is my property. That’s your property. This is England. That’s Scotland. She’s a brain surgeon. He’s an ophthalmologist.
Sometimes it’s very easy to explain the differences. Mammals breathe with their lungs and give birth to live young. Dogs, cats, dolphins, and humans are all clearly mammals. Fish live in water, breathe with their gills, and lay eggs. Salmon, bass, and guppies are all clearly fish.
But as with many classifications, you quickly run into problems. What about fish with lungs? What about fish that don’t look like fish? Are sharks, skates, eels, and sea horses really fish? (Yes, they are.) And where do we put that darned platypus? Biological taxonomists have argued about these classification issues for centuries.
Mapping the boundaries of information architecture is even more slippery. Some things are clearly not information architecture:
  • Graphic design is NOT information architecture.
  • Software development is NOT information architecture.
  • Usability engineering is NOT information architecture.
Makes sense, right? But as soon as you start working within the messy reality of web site design and construction, you find yourself in the gray areas between disciplines. For example, consider the ubiquitous global navigation bars in Figure 1-3.
Figure 1-3: Top and bottom navigation bars on the United Nations web site
The navigation bars feature labels and links that lead to other sections and pages within the web site. These labels are dependent upon the underlying structure and categorization of the site. The creation of categories and choice of labels fall clearly inside the domain of information architecture.
But wait a second. What about the look and feel of the navigation bar? What about the choice of colors, images, font styles, and sizes? Now we enter the realms of graphic design, interaction design, and information design. And what if a designer challenges the labels proposed by an information architect? Perhaps those labels are too long to fit on the navigation bar. What happens then?
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Why Information Architecture Matters
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You now understand what information architecture is and what it isn’t. So, why is it important? Why should you care? Why should your company or your clients invest time and money in the design of their information architectures? What is the return on investment (ROI)?
We’ll tackle these tough questions in detail later in the book, but for now, let’s hit the highlights without getting bogged down in subtleties. When you calculate the importance of information architecture to your organization, you should consider the following costs and value propositions:
The cost of finding information
What does it cost if every employee in your company spends an extra five minutes per day struggling to find answers on your intranet? What is the cost of frustrating your customers with a poorly organized web site?
The cost of not finding information
How many bad decisions are made every day in your organization because employees didn’t find the information they needed? How much duplication of effort results from this disconnect? How many customers do you lose because they can’t find the product they want on your web site? How much do you spend every day providing telephone support to existing customers because they hate navigating your online technical-support database?
The value of education
What is the value of educating your customers about new products and services related to the ones they’re actively seeking on your web site?
The cost of construction
What does it cost to design and build a web site? How much does it cost to redo it six months later because it doesn’t support findability or doesn’t scale?
The cost of maintenance
Similarly, what does it cost to ensure that good designs don’t crumble over time? Will the people who maintain your site know where to put new content and when to remove outdated content?
The cost of training
For internal, mission-critical information systems that support call centers, for example, what does it cost to train employees to use that system? How much could you save if it wasn’t so complicated to use?
The value of brand
No matter how beautiful your web site is, if customers can’t find what they need, your brand loses value in their eyes. How much did you spend on those brand-building TV commercials?
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Bringing Our Work to Life
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Information architecture lives beneath the surface. Users rarely look at a web site and exclaim, “Wow, check out this brilliant classification scheme!” In fact, much of our work is intangible; many people who are directly involved in web design have only a superficial understanding of information architecture. They may recognize the need for clear labels in a navigation bar, but have no clue how a controlled vocabulary could improve the search experience. If you can’t see it, touch it, taste it, or smell it, it doesn’t exist.
This invisibility is fine with respect to users. We don’t want to force users to see our hard work; we want them to complete tasks and find information in blissful ignorance of our labors. But invisibility is a major problem when it comes to justifying our existence to colleagues and making the case for investments to decision makers. We must constantly work to help people see the complexity of the challenges we face and the long-term value of our solutions.
We must find ways to articulate the key concepts of our craft, helping people to understand the sophisticated nature of user needs and behavior. We must show the interconnections between people and content that underpin knowledge networks, and explain how these concepts can be applied to transform static web sites into complex adaptive systems (Figure 1-4 ).
Figure 1-4: Information architecture concepts
We must be prepared to dive into detail, identifying and defining the component systems that support our sites (Figure 1-5). We must show how semantic networks can provide a foundation for fluid navigation. And we must convince our clients and colleagues that an effective searching experience requires not just a good engine or a nice interface, but a carefully integrated system of interdependent parts.
Figure 1-5: Information architecture systems
Finally, we must be ready to produce concrete deliverables (Figure 1-6). We must learn to render our constructs of semantics and structure in clear and compelling ways. In short, we must help people to see the invisible.
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Chapter 2: Practicing Information Architecture
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Information architecture is everywhere
Whether the world needs information architects
Qualifications and source disciplines for information architects
Information ecologies and their impact on the practice of information architecture
What is information architecture? Is it an art, a science, or a craft? Who should do this work? What qualifications are required? These are the questions we grapple with as a community of information architects. We write articles and publish books. We debate on discussion lists and argue passionately at conferences. We pull out our hair. We lose sleep. This is serious stuff.
And yet, independent of our intellectual theories and existential agonies, something very powerful is taking place. We are being surrounded, quite literally, by information architecture.
Have you ever walked through Times Square in New York City at night? It’s quite a spectacle. You’re on the corner of 42nd and Broadway. The glassy facades of buildings are pulsing with real-time information, courtesy of the latest in flat-panel display and projection technologies. Business news, financial data, corporate logos, and URLs are lit up in neon. Taxicabs sport billboards on their roofs as they honk their way through traffic. Pedestrians (or shall we say “users”) hustle past one another, chattering into their cell phones or stopping on the corner to check email or get directions on their wireless PDAs. This is William Gibson’s cyberspace turned inside out, physical architecture meets information architecture, a world of content, labels, and metadata all competing for your attention.
And that’s nothing compared to the real cyberspace, a new reality where we spend increasing amounts of time. How many hours do you spend staring at a computer monitor each day? How often do you check email or pop open your web browser? When your Internet connection is broken, how do you feel?
The World Wide Web has lived up to its name. It has connected and transformed the world. Want to know what’s going on? Check out nytimes.com, bbc.co.uk, or your favorite blogs. Planning a trip? orbitz.com and kayak.com will meet your every need. Having trouble with your green iguana? No need to leave the house. You’ll find the answer at iguana.com.
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Do We Need Information Architects?
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Since information architecture happens anyway, does the world really need information architects? If you’ve attended any of the IA Summits in recent years, you know this has been a hot topic. A few speakers in particular have stirred the pot. Andrew Dillon is fond of saying, “I know we need information architecture. I’m not so sure we need information architects.” And Peter Merholz suggests that “we need to teach everyone to do information architecture, rather than isolating the practice to a handful of professionals.”
We have to give credit to the information architecture community for having the guts to ask these questions in public. But we’d like to respond with a firm assertion that we absolutely do need information architects. We’re not too particular about the specific job title; if you prefer to call them user-experience designers, knowledge managers, or findability engineers, that’s fine with us. What we’re focused on is the need for professionals with specialized skills and experience, who know how to create useful, usable information systems within massively complex environments.
Programmers and graphic designers are great at what they do. They’re not great at what we do. And information architecture design is not a skill you can pick up by taking a half-day seminar. There’s real depth to the discipline. Information architecture resembles the games of Othello and Go. A minute to learn, a lifetime to master.
Does this mean that all web developers will need a licensed information architect on board before they write their first line of code? Of course not. Information architecture happens, with or without information architects, and that’s just fine with us. That’s why Peter Merholz is right to emphasize the vital role information architects must play in education. We can have a major positive impact on the world by sharing what we know with all those people who do information architecture in the course of doing something else.
But the most important and complex information environments already rely on professional information architects. Large organizations like IBM, Microsoft, and Vanguard already have teams of information architects dedicated to the long-term strategy and design of their web sites and intranets. Smaller organizations tend to involve information architects in a consulting capacity during a site redesign. This allows the information architect to make a major contribution without breaking the bank.
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Who’s Qualified to Practice Information Architecture?
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Unlike medicine and law, the field of information architecture has no official certification process. There are no university consortia, boards, or exams that can prevent you from practicing information architecture. As we explain in Chapter 13, a number of academic programs are emerging to serve the needs of prospective information architects, but for now very few people have a degree in information architecture.
As you look over this list, you might not find your home discipline listed. Don’t be daunted: any field focused on information and its use is a good source of information architects. And the field is still young enough that just about anyone will have to rely on experience from the School of Hard Knocks to practice IA effectively and confidently.
If you’re looking for IA talent, keep in mind that, because the field is relatively new and because demand for information architects continues to explode, you can’t just post a job description and expect a flock of competent and experienced candidates to show up on your doorstep. Instead, you’ll need to actively recruit, outsource, or perhaps become the information architect for your organization.
Of course, if you are looking for someone else to fill this role, you might consider the following disciplines as sources for information architects. If you’re on your own, it might not be a bad thing to learn a little bit about each of these disciplines yourself. In either case, remember that no single discipline is the obvious source for information architects. Each presents its own strengths and weaknesses.
OK, on to the list:
Graphic design and information design
Many of the people who have written about and practice information architecture are graphic designers by training. This is not surprising, as both graphic design and information design involve much more than creating pretty pictures. These professions are geared more toward creating relationships between visual elements and determining how those elements can be integrated as a whole to communicate more effectively.
Information and library science
Our backgrounds in information science and librarianship have proven very useful in dealing with the relationships between pages and other elements that make up a whole site. Librarians have a long history of organizing and providing access to information and are trained to work with searching, browsing, and indexing technologies. Forward-looking librarians understand that their expertise applies in new arenas far beyond the library walls.
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Information Architecture Specialists
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These general discussions about the role, value, and qualifications of information architects are worthwhile but incomplete. The community of information architects is experiencing what evolutionary biologists call a period of “punctuated equilibrium,” marked by rapid change and specialization.
Particularly in large organizations, people who began as all-purpose information architects are gravitating towards specialized niches that match their strengths to their organization’s needs. Here are just a few of the titles that already exist:
  • Thesaurus Designer
  • Search Schema Content Editor
  • Metadata Specialist
  • Content Manager
  • Information Architecture Strategist
  • Manager, Information Architecture
  • Director, User Experience
There are so many possible variations and so many different facets. For example, information architects can specialize by:
  • Industry lines (e.g., financial services, automotive)
  • Functional department (e.g., human resources, engineering, marketing)
  • Type of system (e.g., intranets, web sites, extranets, online magazines, digital libraries, software, online communities)
  • Audience (e.g., small business owners, elementary school teachers, rocket scientists, teenagers, grandparents)
Finally, much IA work is centered on making large-scale applications work as advertised. So many information architects find their specializations centered on a variety of tools, most commonly:
  • Content management systems
  • Search engines
  • Portals
As our use of networked information environments grows, the possibilities for specialization are unlimited and unpredictable. We’re watching evolution in fast-forward. This is part of what makes it so much fun to be part of the information architecture community.
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Practicing Information Architecture in the Real World
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Users. Content. Context. You’ll hear these three words again and again throughout this book. They form the basis of our model for practicing effective information architecture design. Underlying this model is a recognition that you can’t design useful information architectures in a vacuum. An architect can’t huddle in a dark room with a bunch of content, organize it, and emerge with a grand solution. It simply won’t hold up against the light of day.
Web sites and intranets are not lifeless, static constructs. Rather, there is a dynamic, organic nature to both the information systems and the broader environments in which they exist. This is not the old world of yellowing cards in a library card catalog. We’re talking complex, adaptive systems with emergent qualities. We’re talking rich streams of information flowing within and beyond the borders of departments, business units, institutions, and countries. We’re talking messiness and mistakes, trial and error, survival of the fittest.
We use the concept of an “information ecology” composed of users, content, and context to address the complex dependencies that exist. And we draw upon our trusty Venn diagram (see Figure 2-2) to help people visualize and understand these relationships. The three circles illustrate the interdependent nature of users, content, and context within a complex, adaptive information ecology.
Figure 2-2: The infamous three circles of information architecture
In short, we need to understand the business goals behind the web site and the resources available for design and implementation. We need to be aware of the nature and volume of content that exists today and how that might change a year from now. And we must learn about the needs and information-seeking behaviors of our major audiences. Good information architecture design is informed by all three areas.
Is this an oversimplified view of reality? Yes. Is it still useful? Absolutely. We’ve been using this model for over 10 years. It’s held up well in all sorts of environments, from global web sites of Fortune 100 corporations to standalone intranet applications within small nonprofits. More importantly, we find these three circles incredibly helpful whenever we’re confronted by a difficult question. After mouthing the trusty phrase “It depends”—as all smart information architects do—we develop our answer by deconstructing the question into three parts that coincide with our three circles. For example, when asked what are the most important qualities that an information architect should have, the answer becomes quite simple: some knowledge of users and their needs (which might come from exposure to human–computer interaction and a variety of other fields), content (think technical communication and journalism), and context (read a book on organizational psychology).
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What Lies Ahead
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So, information architecture happens. Information architectures are being created every day by generalists and specialists, by innies and outies, risk takers and people who get things done, and by people who’ve never heard the term “information architecture.” They’re being created inside all manner of information ecologies with unique combinations of users, content, and context.
Herein lies the dual challenge to the information architecture discipline. As professionals, we must advance our own understanding and our ability to perform this very difficult work inside massively complex environments. We still have so much to learn! And as a community, we must strive to advance the practice of information architecture by educating those around us who create or influence information architectures while they’re focused on doing something else. We still have so much to teach!
In any case, we hope we’ve done a good job of setting the stage. Now it’s time to delve into the guts of information architecture, so roll up your sleeves and dig in.
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Chapter 3: User Needs and Behaviors
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What we’ll cover:
The dangers of an oversimplified view of how we find information
How our information needs vary
How our information-seeking behaviors vary
How and why to learn more about determining users’ information needs and information-seeking behaviors
In the last two chapters, we’ve defined information architecture and placed it within the broader context of where, when, and by whom it’s practiced. But before we jump into the actual “stuff” of information architecture—the components that make up an architecture, the methodologies that drive its design, and so on—let’s first take a look at users. Information architecture is not restricted to taxonomies, search engines, and the other things that help users find information on a site. Information architecture starts with users and the reason they come to a site in the first place: they have an information need.
This is a truism, but there’s more to it than meets the eye. Information needs can vary widely, and each type of information need causes users to exhibit specific information-seeking behaviors. Information architects need to understand those needs and behaviors, and their designs should correspond accordingly. There is no goal more important to designing information architecture than to satisfy users’ needs.
For example, if your site is a staff directory, looking up a staff member’s phone number is probably a very common information need among your site’s users; in fact, this type of need may describe most of your users’ finding sessions. When confronted by such a need, users will likely perform a search, and you’d be wise to make sure your information architecture supports searching by name. On the other hand, if your site helps non-savvy investors learn about and select mutual funds for investment, your users may satisfy this need through some other means. They might really benefit from a site wizard that leads them through a tutorial, or they may wish to wander by browsing through categories.
Seeking something you know is there, like your colleague’s phone number, is quite a different information need than learning about a topic, like small-cap mutual funds, and your site’s information architecture should be designed with those differences in mind. These needs are examples of information-seeking behaviors and, not surprisingly, searching for something you know is a very different behavior than browsing for the unknown. Distinguishing between these needs and behaviors and determining which are your users’ highest priorities is an extremely valuable pursuit—it helps you determine where to invest your efforts, resources, time, and money as you design your architecture.
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The “Too-Simple” Information Model
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There are different models of what happens when users look for information. Modeling users’ needs and behaviors forces us to ask useful questions about what kind of information the user wants, how much information is enough, and how the user actually interacts with the architecture.
Unfortunately, “too-simple” is the most common information model, and it’s also the most problematic. It looks something like Figure 3-1.
Figure 3-1: The “too-simple” model of information needs
Or, expressed as a simple algorithm:
  1. User asks a question.
  2. Something happens (i.e., searching or browsing).
  3. User receives the answer.
  4. Fin.
Input, output, end of story. This is a very mechanistic and ultimately dehumanizing model for how users find and use information on web sites. In fact, in this model, the user, like the site itself, is just another system—predictable in behavior, rational in motivation.
Why do we have a problem with this “too-simple” model? Because it rarely happens this way. There are exceptions—for example, when users know what they’re looking for, as in the staff directory scenario. Here, users have a question for which there is a right answer, they know where to find the answer, they know how to state the question, and they know how to use the site to do so.
But users don’t always know exactly what they want. Have you ever visited a site just to poke around? By exploring the site, you’re trying to find information of a sort; you just don’t exactly know what you’re looking for. Even when you do, you may not have the language to express it: is it “PDA,” “Palm Pilot,” or “handheld computer”?
Users often complete their efforts at finding information in a state of partial satisfaction or outright frustration. Example: “I was able to find information on synchronizing my Palm Pilot, but nothing specific on syncing to a Macintosh.” Or, during the process of finding, they may learn new information that changes what they’re looking for altogether. Example: “I realized that a Keough retirement plan is ideal for me, even though when I started I was trying to learn about IRAs.”
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Information Needs
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When a user comes to a web site to find something, what does she really want? In the “too-simple” model, she wants the “right answer” to her question. Indeed, right answers do come from searching databases, which store facts and figures and answer questions that really do have right answers, such as “What is the population of San Marino?” To many of us, database searching is the most familiar model of searching.
But web sites store much more than highly structured data. Not surprisingly, text is the most common type of data stored, and text itself is made up of ambiguous, messy ideas and concepts. When we go to a web site for advice on retirement investing, to learn about restaurants in Mendocino County, or to find out what’s happening with the Manchester United football team, we are essentially looking for ideas and concepts that inform us and help us make decisions. The answer, if there is one, is an ambiguous moving target.
So back to the question: What do users want? Let’s use the metaphor of fishing to get at the answer.
The perfect catch
Sometimes users really are looking for the right answer. Let’s think of that as fishing with a pole, hoping to hook that ideal fish. What is the population of San Marino? You go to the CIA Fact Book or some other useful site that’s jam-packed with data, and you hook in that number (it’s 29,251, by the way). And you’re done, just as the too-simple model would have it.
Lobster trapping
What about the times you’re looking for more than just a single answer? Let’s say you’re hoping to find out about good bed-and-breakfast inns in Stratford, Ontario. Or you want to learn something about Lewis and Clark’s journey of exploration. Or you need to get a sense of what sort of financial plans can help you save for retirement. You don’t really know much about what you’re looking for, and aren’t ready to commit to retrieving anything more than just a few useful items, or suggestions of where to learn more. You’re not hoping to hook the perfect fish, because you wouldn’t know it if you caught it. Instead, you’re setting out the equivalent of a lobster trap—you hope that whatever ambles in will be useful, and if it is, that’s good enough. Perhaps it’s a few candidate restaurants that you’ll investigate further by calling and checking their availability and features. Or maybe it’s a motley assemblage of Lewis and Clark stuff, ranging from book reviews to a digital version of Clark’s diary to information about Lewis & Clark College in Oregon. You might be happy with a few of these items, and toss out the rest.
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Information-Seeking Behaviors
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How do web site users find information? They enter queries in search systems, browse from link to link, and ask humans for help (through email, chat interfaces, and so forth). Searching, browsing, and asking are all methods for finding, and are the basic building blocks of information-seeking behavior.
There are two other major aspects to seeking behaviors: integration and iteration. We often integrate searching, browsing, and asking in the same finding session. Figure 3-3 shows how you might search your corporate intranet for guidelines on traveling abroad. You might first browse your way through the intranet portal to the HR site, browse the policies area, and then search for the policy that includes the string “international travel.” If you still didn’t get your question answered, you might send an email to Biff, the person responsible for that policy, to ask exactly what your per diem will be while spending the week in Timbuktu. Let’s hope your intranet’s information architecture was designed to support such integration!
Figure 3-3: Integrated browsing, searching, and asking over many iterations
Figure 3-3 also illustrates the iteration you may go through during one finding session. After all, we don’t always get things right the first time. And our information needs may change along the way, causing us to try new approaches with each new iteration. So, while you may have begun with a broad quest for “guidelines on traveling abroad,” you might be satisfied to find something as specific as “recommended per diem in Timbuktu” by the time you’re done. Each iteration of searching, browsing, asking, and interacting with content can greatly impact what it is we’re seeking.
These different components of information-seeking behaviors come together in complex models, such as the “berry-picking” model developed by Dr. Marcia Bates of the University of Southern California. In this model (shown in Figure 3-4), users start with an information need, formulate an information request (a query), and then move iteratively through an information system along potentially complex paths, picking bits of information (“berries”) along the way. In the process, they modify their information requests as they learn more about what they need and what information is available from the system.
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Learning About Information Needs and Information-Seeking Behaviors
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How does one learn about their users’ information needs and seeking behaviors? There are a variety of user research methods to consider—too many to cover in detail here—so we’ll recommend a pair of our favorites: search analytics and contextual inquiry. Search analytics involves reviewing the most common search queries on your site (usually stored in your search engine’s logfiles) as a way to diagnose problems with search performance, metadata, navigation, and content. Search analytics provides a sense of what users commonly seek, and can help inform your understanding of their information needs and seeking behaviors (and is handy in other ways, too, such as developing task-analysis exercises).
While search analytics is based on a high volume of real user data, it doesn’t provide an opportunity to interact with users and learn more about their needs directly. Contextual inquiry, a user research method with roots in ethnography, is a great complement to search analytics because it allows you to observe how users interact with information in their “natural” settings and, in that context, ask them why they’re doing what they’re doing.
Other user research methods you might look to are task analysis, surveys, and, with great care, focus groups. Ultimately, you should consider any method that might expose you to users’ direct statements of their own needs, and when you can, use a combination of methods to cover as many bases as possible.
Finally, remember that, as an information architect, your goal is to do your best to learn about your users’ major information needs and likely information-seeking behaviors. A better understanding of what users actually want from your site will, naturally, help you determine and prioritize which architectural components to build, which makes your job much simpler, especially considering how many ways a particular information architecture could be designed. You’ll also have great user data to help counterbalance the other drivers that too often influence design, such as budget, time, politics, entrenched technologies, and designers’ personal preferences.
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Chapter 4: The Anatomy of an Information Architecture
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What we’ll cover:
Why it’s important (and difficult) to make an information architecture as tangible as possible
Examples that help you visualize an information architecture from both the top down and the bottom up
Ways of categorizing the components of an information architecture so you can better understand and explain IA
In the preceding chapters, we discussed information architecture from a conceptual perspective. This chapter presents a more concrete view of what information architecture actually is to help you recognize it when you see it. We also introduce the components of an architecture; these are important to understand because they make up the information architect’s palette. We’ll cover them in greater detail in Chapters 5–9.
Why is it important to be able to visualize information architecture? There are several answers. One is that the field is new, and many people don’t believe that things exist until they can see them. Another is that the field is abstract, and many who might conceptually understand the basic premise of information architecture won’t really “get it” until they see it and experience it. Finally, a well-designed information architecture is invisible to users (which, paradoxically, is quite an unfair reward for IA success).
IA’s lack of tangible qualities forces all information architects to be salespeople to some degree. Because it’s highly probable that you’ll need to explain information architecture to several important people, including colleagues, managers, prospects, clients, and perhaps your significant other, it’s in your interest to be able to help them visualize what an information architecture actually is.
Let’s start by looking at a site’s main page. Figure 4-1 shows the main page for Gustavus Adolphus College in Saint Peter, Minnesota, USA.
Figure 4-1: Gustavus Adolphus College’s main page
What’s obvious here? Most immediately, you see that the site’s visual design stands out. You can’t help but notice the site’s colors (you’ll have to take our word for it), typeface choices, and images. You also notice aspects of the site’s information design; for example, the number of columns—and their widths—changes throughout the page.
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Visualizing Information Architecture
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Why is it important to be able to visualize information architecture? There are several answers. One is that the field is new, and many people don’t believe that things exist until they can see them. Another is that the field is abstract, and many who might conceptually understand the basic premise of information architecture won’t really “get it” until they see it and experience it. Finally, a well-designed information architecture is invisible to users (which, paradoxically, is quite an unfair reward for IA success).
IA’s lack of tangible qualities forces all information architects to be salespeople to some degree. Because it’s highly probable that you’ll need to explain information architecture to several important people, including colleagues, managers, prospects, clients, and perhaps your significant other, it’s in your interest to be able to help them visualize what an information architecture actually is.
Let’s start by looking at a site’s main page. Figure 4-1 shows the main page for Gustavus Adolphus College in Saint Peter, Minnesota, USA.
Figure 4-1: Gustavus Adolphus College’s main page
What’s obvious here? Most immediately, you see that the site’s visual design stands out. You can’t help but notice the site’s colors (you’ll have to take our word for it), typeface choices, and images. You also notice aspects of the site’s information design; for example, the number of columns—and their widths—changes throughout the page.
What else? With a careful eye, you can detect aspects of the site’s interaction design, such as the use of mouseovers (over main menu choices) and pull-down menus for “Go Quickly To” and search options. Although the college’s logo and logotype are prominent, the site relies on textual content (e.g., “Excellence,” “Community,” and so forth) to convey its message and brand. And although this particular site functions well, you’d learn something about its supporting technology (and related expertise) just from the main page—for example, if it didn’t load properly in a common browser, you might guess that the designers weren’t aware of or concerned with standards-compliant design.
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Information Architecture Components
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It can be difficult to know exactly what components make up an information architecture. Users interact directly with some, while (as we saw above) others are so behind the scenes that users are unaware of their existence.
In the next four chapters, we’ll present and discuss information architecture components by breaking them up into the following four categories:
Organization systems
How we categorize information, e.g., by subject or chronology. See Chapter 5.
Labeling systems
How we represent information, e.g., scientific terminology (“Acer”) or lay terminology (“maple”). See Chapter 6.
Navigation systems
How we browse or move through information, e.g., clicking through a hierarchy. See Chapter 7.
Searching systems
How we search information, e.g., executing a search query against an index. See Chapter 8.
Like any categorization scheme, this one has its problems. For example, it can be difficult to distinguish organization systems from labeling systems (hint: you organize content into groups, and then label those groups; each group can be labeled in different ways). In such situations, it can be useful to group objects in new ways. So before we delve into these systems, we’ll present an alternative method of categorizing information architecture components. This method is comprised of browsing aids, search aids, content and tasks, and “invisible” components.
These components present users with a predetermined set of paths to help them navigate the site. Users don’t articulate their queries, but instead find their way through menus and links. Types of browsing aids include:
Organization systems
The main ways of categorizing or grouping a site’s content (e.g., by topic, by task, by audiences, or by chronology). Also known as taxonomies and hierarchies. Tag clouds (based on user-generated tags) are also a form of organization system.
Site-wide navigation systems
Primary navigation systems that help users understand where they are and where they can go within a site (e.g., breadcrumbs).
Local navigation systems
Primary navigation systems that help users understand where they are and where they can go within a portion of a site (i.e., a subsite).
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Chapter 5: Organization Systems
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The beginning of all understanding is classification.
—Hayden White
What we’ll cover:
Subjectivity, politics, and other reasons why organizing information is so difficult
Exact and ambiguous organization schemes
Hierarchy, hypertext, and relational database structures
Folksonomies, tagging, and social classification
Our understanding of the world is largely determined by our ability to organize information. Where do you live? What do you do? Who are you? Our answers reveal the systems of classification that form the very foundations of our understanding. We live in towns within states within countries. We work in departments in companies in industries. We are parents, children, and siblings, each an integral part of a family tree.
We organize to understand, to explain, and to control. Our classification systems inherently reflect social and political perspectives and objectives. We live in the first world. They live in the third world. She is a freedom fighter. He is a terrorist. The way we organize, label, and relate information influences the way people comprehend that information.
As information architects, we organize information so that people can find the right answers to their questions. We strive to support casual browsing and directed searching. Our aim is to design organization and labeling systems that make sense to users.
The Web provides information architects with a wonderfully flexible environment in which to organize. We can apply multiple organization systems to the same content and escape the physical limitations of the print world. So why are many large web sites so difficult to navigate? Why can’t the people who design these sites make it easy to find information? These common questions focus attention on the very real challenge of organizing information.
In recent years, increasing attention has been focused on the challenge of organizing information. Yet this challenge is not new. People have struggled with the difficulties of information organization for centuries. The field of librarianship has been largely devoted to the task of organizing and providing access to information. So why all the fuss now?
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Challenges of Organizing Information
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In recent years, increasing attention has been focused on the challenge of organizing information. Yet this challenge is not new. People have struggled with the difficulties of information organization for centuries. The field of librarianship has been largely devoted to the task of organizing and providing access to information. So why all the fuss now?
Believe it or not, we’re all becoming librarians. This quiet yet powerful revolution is driven by the decentralizing force of the global Internet. Not long ago, the responsibility for labeling, organizing, and providing access to information fell squarely in the laps of librarians. These librarians spoke in strange languages about Dewey Decimal Classification and the Anglo-American Cataloging Rules. They classified, cataloged, and helped you find the information you needed.
As it grows, the Internet is forcing the responsibility for organizing information on more of us each day. How many corporate web sites exist today? How many blogs? What about tomorrow? As the Internet provides users with the freedom to publish information, it quietly burdens them with the responsibility to organize that information. New information technologies open the floodgates for exponential content growth, which creates a need for innovation in content organization (see Figure 5-1).
Figure 5-1: Content growth drives innovation
And if you’re not convinced that we’re facing severe information-overload challenges, take a look at an excellent study conducted at Berkeley. This study finds that the world produces between one and two exabytes of unique information per year. Given that an exabyte is a billion gigabytes (we’re talking 18 zeros), this growing mountain of information should keep us all busy for a while.
As we struggle to meet these challenges, we unknowingly adopt the language of librarians. How should we label that content? Is there an existing classification scheme we can borrow? Who’s going to catalog all of that information?
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Organizing Web Sites and Intranets
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The organization of information in web sites and intranets is a major factor in determining success, and yet many web development teams lack the understanding necessary to do the job well. Our goal in this chapter is to provide a foundation for tackling even the most challenging information organization projects.
Organization systems are composed of organization schemes and organization structures. An organization scheme defines the shared characteristics of content items and influences the logical grouping of those items. An organization structure defines the types of relationships between content items and groups.
Before diving in, it’s important to understand information organization in the context of web site development. Organization is closely related to navigation, labeling, and indexing. The hierarchical organization structures of web sites often play the part of primary navigation system. The labels of categories play a significant role in defining the contents of those categories. Manual indexing or metadata tagging is ultimately a tool for organizing content items into groups at a very detailed level. Despite these closely knit relationships, it is both possible and useful to isolate the design of organization systems, which will form the foundation for navigation and labeling systems. By focusing solely on the logical grouping of information, you avoid the distractions of implementation details and can design a better web site.
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Organization Schemes
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We navigate through organization schemes every day. Telephone books, supermarkets, and television programming guides all use organization schemes to facilitate access. Some schemes are easy to use. We rarely have difficulty finding a friend’s phone number in the alphabetical organization scheme of the white pages. Some schemes are intensely frustrating. Trying to find marshmallows or popcorn in a large and unfamiliar supermarket can drive us crazy. Are marshmallows in the snack aisle, the baking ingredients section, both, or neither?
In fact, the organization schemes of the phone book and the supermarket are fundamentally different. The alphabetical organization scheme of the phone book’s white pages is exact. The hybrid topical/task-oriented organization scheme of the supermarket is ambiguous.
Let’s start with the easy ones. Exact or “objective” organization schemes divide information into well-defined and mutually exclusive sections. The alphabetical organization of the phone book’s white pages is a perfect example. If you know the last name of the person you are looking for, navigating the scheme is easy. “Porter” is in the Ps, which are after the Os but before the Qs. This is called known-item searching. You know what you’re looking for, and it’s obvious where to find it. No ambiguity is involved. The problem with exact organization schemes is that they require users to know the specific name of the resource they are looking for. The white pages don’t work very well if you’re looking for a plumber.
Exact organization schemes are relatively easy to design and maintain because there is little intellectual work involved in assigning items to categories. They are also easy to use. The following sections explore three frequently used exact organization schemes.

Alphabetical

An alphabetical organization scheme is the primary organization scheme for encyclopedias and dictionaries. Almost all nonfiction books, including this one, provide an alphabetical index. Phone books, department-store directories, bookstores, and libraries all make use of our 26-letter alphabet for organizing their contents. Alphabetical organization often serves as an umbrella for other organization schemes. We see information organized alphabetically by last name, by product or service, by department, and by format. Figure 5-2 provides an example of a departmental directory organized alphabetically by last name.
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Organization Structures
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Organization structure plays an intangible yet very important role in the design of web sites. Although we interact with organization structures every day, we rarely think about them. Movies are linear in their physical structure. We experience them frame by frame from beginning to end. However, the plots themselves may be nonlinear, employing flashbacks and parallel subplots. Maps have a spatial structure. Items are placed according to physical proximity, although the most useful maps cheat, sacrificing accuracy for clarity.
The structure of information defines the primary ways in which users can navigate. Major organization structures that apply to web site and intranet architectures include the hierarchy, the database-oriented model, and hypertext. Each organization structure possesses unique strengths and weaknesses. In some cases, it makes sense to use one or the other. In many cases, it makes sense to use all three in a complementary manner.
The foundation of almost all good information architectures is a well-designed hierarchy or taxonomy. In this hypertextual world of nets and webs, such a statement may seem blasphemous, but it’s true. The mutually exclusive subdivisions and parent–child relationships of hierarchies are simple and familiar. We have organized information into hierarchies since the beginning of time. Family trees are hierarchical. Our division of life on earth into kingdoms, classes, and species is hierarchical. Organization charts are usually hierarchical. We divide books into chapters into sections into paragraphs into sentences into words into letters. Hierarchy is ubiquitous in our lives and informs our understanding of the world in a profound and meaningful way. Because of this pervasiveness of hierarchy, users can easily and quickly understand web sites that use hierarchical organization models. They are able to develop a mental model of the site’s structure and their location within that structure. This provides context that helps users feel comfortable. Figure 5-11 shows an example of a simple hierarchical model.
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Social Classification
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In recent years, user participatory systems have captured the attention and imagination of many in the web design community. High profile successes such as Flickr and del.icio.us have demonstrated the potential to enlist users in content creation and classification, and they’ve sparked tremendous enthusiasm for tagging as a form of description and organization.
Free tagging, also known as collaborative categorization, mob indexing, and ethnoclassification, is a simple yet powerful tool. Users tag objects with one or more keywords. The tags are public and serve as pivots for social navigation. Users can move fluidly between objects, authors, tags, and indexers. And when large numbers of people get involved, interesting opportunities arise to transform user behavior and tagging patterns into new organization and navigation systems.
For instance, in Figure 5-18, we see that the “IxDG Resource Library” is the most frequently bookmarked site that’s been tagged with interactiondesign, and we can easily explore related tags such as design, patterns, ia, and ui. No single person or centralized team created a taxonomy to define these relationships. Rather, they emerged (and continue to emerge) through the tagging efforts of many individuals.
Figure 5-18: Popular items on del.icio.us
Similarly, Flickr has developed clustering algorithms (Figure 5-19) that group photos with overlapping tag sets, thereby creating emergent, self-describing taxonomies.
Figure 5-19: Clustering on Flickr
From an information architect’s perspective, these experiments in the co-creation of structure and organization are fascinating. And, as you might expect, we can’t resist labeling the new phenomenon. For instance, on an information architecture mailing list, Gene Smith described the growing use of user-defined tags to organize information, and asked, “Is there a name for this kind of informal social classification?” After a brief discussion, Thomas Vander Wal replied:
So the user-created bottom-up categorical structure development with an emergent thesaurus would become a Folksonomy?
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Creating Cohesive Organization Systems
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Experience designer Nathan Shedroff suggests that the first step in transforming data into information is exploring its organization. As you’ve seen in this chapter, organization systems are fairly complex. You need to consider a variety of exact and ambiguous organization schemes. Should you organize by topic, by task, or by audience? How about a chronological or geographical scheme? What about using multiple organization schemes?
You also need to think about the organization structures that influence how users can navigate through these schemes. Should you use a hierarchy, or would a more structured database model work best? Perhaps a loose hypertextual web would allow the most flexibility? Taken together in the context of a large web site development project, these questions can be overwhelming. That’s why it’s important to break down the site into its components, so you can tackle one question at a time. Also, keep in mind that all information-retrieval systems work best when applied to narrow domains of homogeneous content. By decomposing the content collection into these narrow domains, you can identify opportunities for highly effective organization systems.
However, it’s also important not to lose sight of the big picture. As with cooking, you need to mix the right ingredients in the right way to get the desired results. Just because you like mushrooms and pancakes doesn’t mean they will go well together. The recipe for cohesive organization systems varies from site to site. However, there are a few guidelines to keep in mind.
When considering which organization schemes to use, remember the distinction between exact and ambiguous schemes. Exact schemes are best for known-item searching, when users know precisely what they are looking for. Ambiguous schemes are best for browsing and associative learning, when users have a vaguely defined information need. Whenever possible, use both types of schemes. Also, be aware of the challenges of organizing information on the Web. Language is ambiguous, content is heterogeneous, people have different perspectives, and politics can rear its ugly head. Providing multiple ways to access the same information can help to deal with all of these challenges.
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Chapter 6: Labeling Systems
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What we’ll cover:
What labeling is and why it’s important
Common types of labels
Guidelines for developing labels
Developing labels: borrowing from existing sources or starting from scratch
Labeling is a form of representation. Just as we use spoken words to represent concepts and thoughts, we use labels to represent larger chunks of information in our web sites. For example, “Contact Us” is a label that represents a chunk of content, often including a contact name, an address, and telephone, fax, and email information. You cannot present all this information quickly and effectively on an already crowded web page without overwhelming impatient users who might not actually need that information. Instead, a label like “Contact Us” works as a shortcut that triggers the right association in the user’s mind without presenting all that stuff prominently. The user can then decide whether to click through or read on to get more contact information. So the goal of a label is to communicate information efficiently; that is, to convey meaning without taking up too much of a page’s vertical space or a user’s cognitive space.
Unlike the weather, hardly anyone ever talks about labeling (aside from a few deranged librarians, linguists, journalists, and, increasingly, information architects), but everyone can do something about it. In fact, we are doing something about it, albeit unconsciously: anyone developing content or an architecture for a web site is creating labels without even realizing it. And our label creation goes far beyond our web sites; ever since Adam named the animals, labeling has been one of the things that make us human. Spoken language is essentially a labeling system for concepts and things. Perhaps because we constantly label, we take the act of labeling for granted. That’s why the labeling on web sites is often poor, and users suffer the consequences. This chapter provides some advice on how to think through a site’s labeling before diving into implementation.
How does labeling fit with the other systems we’ve discussed? Well, labels are often the most obvious way to clearly show the user your organization and navigation systems. For example, a single web page might contain different groups of labels, with each group representing a different organization or navigation system. Examples include labels that match the site’s organization system (e.g., Home/Home Office, Small Business, Medium & Large Business, Government, Health Care), a site-wide navigation system (e.g., Main, Search, Feedback), and a subsite navigation system (e.g., Add to Cart, Enter Billing Information, Confirm Purchase).
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Why You Should Care About Labeling
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Prerecorded or canned communications, including print, the Web, scripted radio, and TV, are very different from interactive real-time communications. When we talk with another person, we rely on constant user feedback to help us hone the way we get our message across. We subconsciously notice our conversation partner zoning out, getting ready to make her own point, or beginning to clench her fingers into an angry fist, and we react by shifting our own style of communication, perhaps by raising our speaking volume, increasing our use of body language, changing a rhetorical tack, or fleeing.
Unfortunately, when we “converse” with users through the web sites we design, the feedback isn’t quite so immediate, if it exists at all. There are certainly exceptions—blogs, for example—but in most cases a site serves as an intermediary that slowly translates messages from the site’s owners and authors to users, and back again. This “telephone game” muddies the message. So in such a disintermediated medium with few visual cues, communicating is harder, and labeling is therefore more important.
To minimize this disconnect, information architects must try their best to design labels that speak the same language as a site’s users while reflecting its content. And, just as in a dialogue, when there is a question or confusion over a label, there should be clarification and explanation. Labels should educate users about new concepts and help them quickly identify familiar ones.
The conversation between user and site owner generally begins on a site’s main page. To get a sense of how successful this conversation might be, look at a site’s main page, do your best to ignore the other aspects of its design, and ask yourself a few questions: Do the prominent labels on this page stand out to you? If they do, why? (Often, successful labels are invisible; they don’t get in your way.) If a label is new, unanticipated, or confusing, is there an explanation? Or are you required to click through to learn more? Although unscientific, this label testing exercise will help you get a sense of how the conversation might go with actual users.
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Varieties of Labels
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On the Web, we regularly encounter labels in two formats: textual and iconic. In this chapter, we’ll spend most of our time addressing textual labels (as they remain the most common despite the Web’s highly visual nature), including:
Contextual links
Hyperlinks to chunks of information on other pages or to another location on the same page
Headings
Labels that simply describe the content that follows them, just as print headings do
Navigation system choices
Labels representing the options in navigation systems
Index terms
Keywords, tags, and subject headings that represent content for searching or browsing.
These categories are by no means perfect or mutually exclusive. A single label can do double duty; for example, the contextual link “Naked Bungee Jumping” could lead to a page that uses the heading label “Naked Bungee Jumping” and has been indexed as being about (you guessed it) “Naked Bungee Jumping.” And some of these labels could be iconic rather than textual, although we’d rather not imagine a visual representation of naked bungee jumping.
In the following section, we’ll explore the varieties of labeling in greater detail and provide you with some examples.
Labels describe the hypertext links within the body of a document or chunk of information, and naturally occur within the descriptive context of their surrounding text. Contextual links are easy to create and are the basis for the exciting interconnectedness that drives much of the Web’s success.
However, just because contextual links are relatively easy to create doesn’t mean they necessarily work well. In fact, ease of creation introduces problems. Contextual links are generally not developed systematically; instead, they are developed in an ad hoc manner when the author makes a connection between his text and something else, and encodes that association in his document. These hypertext connections are therefore more heterogeneous and personal than, say, the connections between items in a hierarchy, where links are understood to be connecting parent items and child items. The result is that contextual link labels mean different things to different people. You see the link “Shakespeare” and, upon clicking it, expect to be taken to the Bard’s biography. I, on the other hand, expect to be taken to his Wikipedia entry. In fact, the link actually takes us to a page for the village of Shakespeare, New Mexico, USA. Go figure....
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Designing Labels
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Designing effective labels is perhaps the most difficult aspect of information architecture. Language is simply too ambiguous for you to ever feel confident that you’ve perfected a label. There are always synonyms and homonyms to worry about, and different contexts influence our understanding of what a particular term means. But even labeling conventions are questionable: you absolutely cannot assume that the label “main page” will be correctly interpreted by 100 percent of your site’s users. Your labels will never be perfect, and you can only hope that your efforts make a difference, as measuring label effectiveness is an extremely difficult undertaking.
If it sounds to you like labeling is an art rather than a science, you’re absolutely correct. And, as in all such cases, you can forget about finding incontrovertible rules, and hope for guidelines instead. Following are some guidelines and related issues that will help you as you delve into the mysterious art of label design.
Remember that content, users, and context affect all aspects of an information architecture, and this is particularly true with labels. Any of the variables attached to users, content, and context can drag a label into the land of ambiguity.
Let’s go back to the term “pitch.” From baseball (what’s thrown) to football (the field where it’s played in the United Kingdom), from sales (what’s sometimes made on the golf course) to sailing (the angle of the boat in the water), there are at least 15 different definitions, and it’s hard to make sure that your site’s users, content, and context will converge upon the same definition. This ambiguity makes it difficult to assign labels to describe content, and difficult for users to rely on their assumptions about what specific labels actually mean.
So what can we do to make sure our labels are less ambiguous and more representational? The following two guidelines may help.

Narrow scope whenever possible

If we focus our sites on a more defined audience, we reduce the number of possible perspectives on what a label means. Sticking to fewer subject domains achieves more obvious and effective representation. A narrower business context means clearer goals for the site, its architecture, and therefore its labels.
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Chapter 7: Navigation Systems
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Just wait, Gretel, until the moon rises, and then we shall see the crumbs of bread which I have strewn about; they will show us our way home again.
—Hansel and Gretel
What we’ll cover:
Balancing context and flexibility in web navigation
Integrating global, local, and contextual navigation
Supplemental navigation tools such as sitemaps, indexes, guides, wizards, and configurators
Personalization, visualization, tag clouds, collaborative filtering, and social navigation
As our fairy tales suggest, getting lost is a bad thing. It is associated with confusion, frustration, anger, and fear. In response to this danger, humans have developed navigation tools to prevent us from getting lost and to help us find our way home. From bread crumbs to compass and astrolabe, to maps, street signs, and global positioning systems, people have demonstrated great ingenuity in the design and use of navigation tools and wayfinding strategies.
We use these tools to chart our course, to determine our position, and to find our way back. They provide a sense of context and comfort as we explore new places. Anyone who has driven through an unfamiliar city as darkness falls understands the importance these tools and strategies play in our lives.
On the Web, navigation is rarely a life or death issue. However, getting lost in a large web site can be confusing and frustrating. While a well-designed taxonomy may reduce the chances that users will become lost, complementary navigation tools are often needed to provide context and to allow for greater flexibility. Structure and organization are about building rooms. Navigation design is about adding doors and windows.
In this book, we have split navigation and searching into individual chapters. This chapter focuses on navigation systems that support browsing; the next chapter digs deep into searching systems that are clearly components of navigation. In fact, structure, organization, labeling, browsing, and searching systems all contribute toward effective navigation.
Navigation systems are composed of several basic elements, or subsystems. First, we have the global, local, and contextual navigation systems that are integrated within the web pages themselves. These
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Types of Navigation Systems
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Navigation systems are composed of several basic elements, or subsystems. First, we have the global, local, and contextual navigation systems that are integrated within the web pages themselves. These embedded navigation systems are typically wrapped around and infused within the content of the site. They provide both context and flexibility, helping users understand where they are and where they can go. These three major systems, shown in Figure 7-1, are generally necessary but not sufficient in themselves.
Figure 7-1: Global, local, and contextual embedded navigation systems
Second, we have supplemental navigation systems such as sitemaps, indexes, and guides that exist outside the content-bearing pages. These are shown in Figure 7-2.
Figure 7-2: Supplemental navigation systems
Similar to search, these supplemental navigation systems provide different ways of accessing the same information. Sitemaps provide a bird’s-eye view of the site. A to Z indexes allow direct access to content. And guides often feature linear navigation customized to a specific audience, task, or topic.
As we’ll explain, each type of supplemental navigation system serves a unique purpose and is designed to fit within the broader framework of integrated searching and browsing systems.
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Gray Matters
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The design of navigation systems takes us deep into the gray area between information architecture, interaction design, information design, visual design, and usability engineering, all of which we might classify under the umbrella of user experience design.
As soon as we start talking about global, local, and contextual navigation, we find ourselves on the slippery slope that connects strategy, structure, design, and implementation. Does the local navigation bar work best at the top of the page, or is it better running down the left side? Should we use pull-downs, pop-ups, or cascading menus to reduce the required number of clicks? Will users ever notice gray links? Isn’t it better to use the blue/red link color convention?
For better or for worse, information architects are often drawn into these debates, and we are sometimes responsible for making these decisions. We could try to draw a clear line in the sand, and argue that effective navigation is simply the manifestation of a well-organized system. Or we could abdicate responsibility and leave the interface to designers.
But we won’t. In the real world, the boundaries are fuzzy and the lines get crossed every day. Information architects do design and designers do information architecture. And the best solutions often result from the biggest debates. While not always possible, interdisciplinary collaboration is the ideal, and collaboration works best when each of the experts understands something about the other areas of expertise.
So in this chapter, we roll up our sleeves, cross lines, step on toes, and get a little messy in the process. We tackle navigation design from the information architect’s perspective. But before we drag you deep into this swampy gray matter, let us throw you a lifeline. In the Appendix, we have included references to a few truly excellent books that cover these topics from a variety of perspectives. We encourage you to read them all!
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Browser Navigation Features
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When designing a navigation system, it is important to consider the environment in which the system will exist. On the Web, people use web browsers such as Mozilla Firefox and Microsoft Internet Explorer to move around and view web sites. These browsers sport many built-in navigation features.
Open URL allows direct access to any page on a web site. Back and Forward provide a bidirectional backtracking capability. The History menu allows random access to pages visited during the current session, and Bookmark or Favorites enables users to save the location of specific pages for future reference. Web browsers also go beyond the Back button to support a “bread crumbs” feature by color-coding hypertext links. By default, unvisited hypertext links are one color and visited hypertext links are another. This feature helps users see where they have and haven’t been and can help them to retrace their steps through a web site.
Finally, web browsers allow for a prospective view that can influence how users navigate. As the user passes the cursor over a hypertext link, the destination URL appears at the bottom of the browser window, hinting at the nature of that content. A good example is shown in Figure 7-3, where the cursor is positioned over “Pricing.” The prospective view window at the bottom shows the URL of that page. If files and directories have been carefully labeled, prospective view gives the user context within the content hierarchy. If the hypertext link leads to a web site on another server, prospective view provides the user with basic information about this offsite destination.
Figure 7-3: Prospective view is built into the browser
Much research, analysis, and testing has been invested in the design of these browser-based navigation features. However, it is remarkable how frequently site designers unwittingly override or corrupt these navigation features. The most common design crimes are:
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Building Context
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With all navigation systems, before we can plot our course, we must locate our position. Whether we’re visiting Yellowstone National Park or the Mall of America, the You Are Here mark on fixed-location maps is a familiar and valuable tool. Without that landmark, we must struggle to triangulate our current position using less dependable features such as street signs or nearby stores. The You Are Here indicator can be the difference between knowing where you stand and feeling completely lost.
When designing complex web sites, it is particularly important to provide context within the greater whole. Many contextual clues in the physical world do not exist on the Web. There are no natural landmarks, no north and south. Unlike physical travel, hypertextual navigation allows users to be transported right into the middle of an unfamiliar web site. Links from remote web pages and search engine results allow users to completely bypass the front door or main page of the web site. To further complicate matters, people often print web pages to read later or to pass along to a colleague, resulting in even more loss of context. For all these reasons, in the design of navigation systems, context is king!
You should always follow a few rules of thumb to ensure that your sites provide contextual clues. For example, users should always know which site they’re in, even if they bypass the front door and enter through a search engine or a link to a subsidiary page. Extending the organization’s name, logo, and graphic identity through all pages of the site is a fairly obvious way to accomplish this goal.
The navigation system should also present the structure of the information hierarchy in a clear and consistent manner, and indicate the user’s current location, as shown in Figure 7-4. Wal-Mart’s navigation system shows the user’s location within the hierarchy with a variation of the You Are Here sign near the top of the page. This helps the user to build a mental model of the organization scheme, which facilitates navigation and helps her feel comfortable.
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Improving Flexibility
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As we explained in Chapter 5, hierarchy is a familiar and powerful way of organizing information. In many cases, it makes sense for a hierarchy to form the foundation for organizing content in a web site. However, hierarchies can be limiting from a navigation perspective. If you have ever used the ancient information-browsing technology and precursor to the World Wide Web known as Gopher, you will understand the limitations of hierarchical navigation. In Gopherspace, you were forced to move up and down the tree structures of content hierarchies (see Figure 7-5). It was impractical to encourage or even allow jumps across branches (lateral navigation) or between multiple levels (vertical navigation) of a hierarchy.
Figure 7-5: The pure hierarchy of Gopherspace
The Web’s hypertextual capabilities removed these limitations, allowing tremendous freedom of navigation. Hypertext supports both lateral and vertical navigation. From any branch of the hierarchy, it is possible and often desirable to allow users to move laterally into other branches, to move vertically from one level to a higher level in that same branch, or to move all the way back to the main page of the web site. If the system is so enabled, users can get to anywhere from anywhere. However, as you can see in Figure 7-6, things can get confusing pretty quickly. It begins to look like an architecture designed by M.C. Escher.
Figure 7-6: A hypertextual web can completely bypass the hierarchy
The trick to designing navigation systems is to balance the advantages of flexibility with the dangers of clutter. In a large, complex web site, a complete lack of lateral and vertical navigation aids can be very limiting. On the other hand, too many navigation aids can bury the hierarchy and overwhelm the user. Navigation systems should be designed with care to complement and reinforce the hierarchy by providing added context and flexibility.
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Embedded Navigation Systems
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Most large web sites include all three of the major embedded navigation systems we saw back in Figure 7-1. Global, local, and contextual navigation are extremely common on the Web. Each system solves specific problems and presents unique challenges. To design a successful site, it is essential to understand the nature of these systems and how they work together to provide context and flexibility.
By definition, a global navigation system is intended to be present on every page throughout a site. It is often implemented in the form of a navigation bar at the top of each page. These site-wide navigation systems allow direct access to key areas and functions, no matter where the user travels in the site’s hierarchy.
Because global navigation bars are often the single consistent navigation element in the site, they have a huge impact on usability. Consequently, they should be subjected to intensive, iterative user-centered design and testing.
Global navigation bars come in all shapes and sizes. Consider the examples shown in Figure 7-7.
Figure 7-7: Global navigation bars from Dell, Apple, and Amazon
Most global navigation bars provide a link to the home page. Many provide a link to the search function. Some, like Apple’s and Amazon’s, reinforce the site’s structure and provide contextual clues to identify the user’s current location within the site. Others, like Dell’s, have a simpler implementation and don’t do either. This pushes the burden of providing context down to the local level and opens the door for inconsistency and disorientation. Global navigation system design forces difficult decisions that must be informed by user needs and by the organization’s goals, content, technology, and culture. One size does not fit all.
It’s often not possible to identify the global navigation system from the main page of a web site. The main page is sometimes the sole exception to the omnipresence of the global navigation bar. In some cases, designers choose to show an expanded view of the global navigation system on the main page. In other cases, the main page presents a variety of navigation options, and it’s impossible to tell which ones have been carried throughout the site without exploring further.
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Supplemental Navigation Systems
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Supplemental navigation systems (shown back in Figure 7-2) include sitemaps, indexes, and guides. These are external to the basic hierarchy of a web site and provide complementary ways of finding content and completing tasks. Search also belongs to the supplemental navigation family but is so important that we’ve dedicated all of Chapter 8 to it.
Supplemental navigation systems can be critical factors for ensuring usability and findability within large web sites. However, they’re often not given the care and feeding they deserve. Many site owners still labor under the misconception that if they could only get the taxonomy right, all users and all user needs would be addressed. Usability pundits feed this fantasy by preaching the gospel of simplicity: users don’t want to make choices, and they resort to sitemaps, indexes, guides, and search only when the taxonomy fails them.
Both statements are theoretically true but miss the point that the taxonomy and the embedded navigation systems will always fail for a significant percentage of users and tasks. You can count on this like death and taxes. Supplemental navigation systems give users an emergency backup. Do you really want to drive without a seatbelt?
In a book or magazine, the table of contents presents the top few levels of the information hierarchy. It shows the organization structure for the printed work and supports random as well as linear access to the content through the use of chapter and page numbers. In contrast, a print map helps us navigate through physical space, whether we’re driving through a network of streets and highways or trying to find our terminal in a busy airport.
In the early days of the Web, the terms “sitemap” and “table of contents” were used interchangeably. Of course, we librarians thought the TOC was a better metaphor, but sitemap sounds sexier and less hierarchical, so it has become the de facto standard.
A typical sitemap (Figure 7-17) presents the top few levels of the information hierarchy. It provides a broad view of the content in the web site and facilitates random access to segmented portions of that content. A sitemap can employ graphical or text-based links to provide the user with direct access to pages of the site.
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Advanced Navigation Approaches
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So far, we’ve focused attention on the bread-and-butter components of navigation systems, the elements that form the foundation of useful, usable web sites. Good navigation design is really important and really hard. Only after you’ve mastered the integration of these fundamental building blocks should you dare wander into the minefield of advanced navigation.
Personalization involves serving up tailored pages to the user based upon a model of the behavior, needs, or preferences of that individual.In contrast, customization involves giving the user direct control over some combination of presentation, navigation, and content options. In short, with personalization, we guess what the user wants, and with customization, the user tells us what he wants.
Both personalization and customization can be used to refine or supplement existing navigation systems. Unfortunately, however, both have been hyped by consultants and software vendors as the solution to all navigation problems. The reality is that personalization and customization:
  • Typically play important but limited roles
  • Require a solid foundation of structure and organization
  • Are really difficult to do well
Personalization has preoccupied marketing folks in recent years, partly due to the influential book by Don Peppers and Martha Rogers, The One to One Future (Doubleday). On a web site, you might use demographic data (e.g., age, sex, income level, zip code) and previous purchasing behavior to make educated guesses about which products to feature in the contextual navigation system during a customer’s next visit. On an intranet, you might use role and job function as a basis for filtering views of news and e-service applications; for example, personalization is essential for controlling access to human-resource applications involving compensation and benefits.
Amazon is the most cited example of successful personalization, and some of the things it’s done are truly valuable. It’s nice that Amazon remembers our names, and it’s great that it remembers our address and credit card information. It’s when Amazon starts trying to recommend books based on past purchases that the system breaks down (see Figure 7-23). In this example, Peter already owns two of the top three recommended books, but the system doesn’t know this because he didn’t purchase them from Amazon. And this ignorance is not the exception but the rule. Because we don’t have time to teach our systems, or because we prefer to maintain our privacy, we often don’t share enough information to drive effective personalization. In addition, in many cases, it’s really hard to guess what people will want to do or learn or buy tomorrow. As they say in the financial world, past performance is no guarantee of future results. In short, personalization works really well in limited contexts, but fails when you try to expand it to drive the entire user experience.
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Chapter 8: Search Systems
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What we’ll cover:
Determining whether your site needs a search system
The basic anatomy of a search system
What to make searchable
A basic understanding of retrieval algorithms
How to present retrieval results
Search interface design
Where to learn more
Chapter 7 helped you create the best navigation system possible for your web site. This chapter describes another form of finding information: searching. Searching (and more broadly, information retrieval) is an expansive, challenging, and well-established field, and we can only scratch the surface here. We’ll limit our discussion to what makes up a search system, when to implement search systems, and some practical advice on how to design a search interface and display search results.
This chapter often uses examples of search systems from sites that allow you to search the entire Web in addition to site-specific search engines. Although these web-wide tools tend to index a very broad collection of content, it’s nonetheless extremely useful to study them. Of all search systems, none has undergone the testing, usage, and investment that web-wide search tools have, so why not benefit from their research? Many of these tools are available for use on local sites as well.
Before we delve into search systems, we need to make a point: think twice before you make your site searchable.
Your site should, of course, support the finding of its information. But as the preceding chapters demonstrate, there are other ways to support finding. And be careful not to assume, as many do, that a search engine alone will satisfy all users’ information needs. While many users want to search a site, some are natural browsers, preferring to forego filling in that little search box and hitting the “search” button. We suggest you consider the following questions before committing to a search system for your site.
Does your site have enough content?
How much content is enough to merit the use of a search engine? It’s hard to say. It could be 5, 50, or 500 pages; no specific number serves as a standard threshold. What’s more important is the type of information need that’s typical of your site’s users. Users of a technical support site often have a specific kind of information in mind, and are more likely to require search than users of an online banking site. If your site is more like a library than a software application, then search probably makes sense. If that’s the case, then consider the volume of content, balancing the time required to set up and maintain a search system with the payoff it will bring to your site’s users.
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Does Your Site Need Search?
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Before we delve into search systems, we need to make a point: think twice before you make your site searchable.
Your site should, of course, support the finding of its information. But as the preceding chapters demonstrate, there are other ways to support finding. And be careful not to assume, as many do, that a search engine alone will satisfy all users’ information needs. While many users want to search a site, some are natural browsers, preferring to forego filling in that little search box and hitting the “search” button. We suggest you consider the following questions before committing to a search system for your site.
Does your site have enough content?
How much content is enough to merit the use of a search engine? It’s hard to say. It could be 5, 50, or 500 pages; no specific number serves as a standard threshold. What’s more important is the type of information need that’s typical of your site’s users. Users of a technical support site often have a specific kind of information in mind, and are more likely to require search than users of an online banking site. If your site is more like a library than a software application, then search probably makes sense. If that’s the case, then consider the volume of content, balancing the time required to set up and maintain a search system with the payoff it will bring to your site’s users.
Will investing in search systems divert resources from more useful navigation systems?
Because many site developers see search engines as the solution to the problems users have when trying to find information in their sites, search engines become Band-Aids for sites with poorly designed navigation systems and other architectural weaknesses. If you see yourself falling into this trap, you should probably suspend implementing your search system until you fix your navigation system’s problems. You’ll find that search systems often perform better if they can take advantage of aspects of strong navigation systems, such as the controlled vocabulary terms used to tag content. And users will often benefit even more from using both types of finding if they work together well. Of course, your site’s navigation might be a disaster for political reasons, such as an inability among your organization’s decision-makers to agree on a site-wide navigation system. In such cases, reality trumps what ought to be, and search might indeed be your best alternative.
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Search System Anatomy
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On its surface, search seems quite straightforward. Look for the box with the search button, enter and submit your query, and mutter a little prayer while the results load. If your prayers are answered, you’ll find some useful results above the fold and can go on with your life.
Of course, there’s a lot going on under the hood. A search engine application has indexed content on the site. All of it? Some of it? As a user, you’ll probably never know. And what parts of the content? Usually the search engine can find the full text of each document. But a search engine can also index information associated with each document—like titles, controlled vocabulary terms, and so forth—depending on how it’s been configured. And then there’s the search interface, your window on the search engine’s index. What you type there is looked up in the index; if things go well, results that match your query are returned.
A lot is going on here. There are the guts of the search engine itself; aside from tools for indexing and spidering, there are algorithms for processing your query into something the software can understand, and for ranking those results. There are interfaces, too: ones for entering queries (think simple and advanced search) and others for displaying results (including decisions on what to show for each result, and how to display the entire set of results). Further complicating the picture, there may be variations in query languages (for example, whether or not Boolean operators like AND, OR, and NOT can be used) and query builders (like spell checkers) that can improve upon a query.
Obviously, there’s a lot to search that doesn’t meet the eye. Additionally, there’s your query, which itself usually isn’t very straightforward. Where does your query come from? Your mind senses a gap that needs to be filled—with information—but isn’t always sure how to express it. Searching is often iterative—not just because we don’t always like the results we retrieve, but often because it takes us a few tries to get the words right for our query. You then interact with a search interface, heading for the simple, Google-like box or, if you’re “advanced,” grappling with the advanced search interface. And finally, you interact with results, which hopefully help you quickly determine which results are worth clicking through, which to ignore, and whether or not you should go back and try modifying your search. Figure 8-1 shows some of these pathways.
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Search Is Not an IT Thing
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Search engines are the foundation of search systems, and search engines are software applications. And software applications aren’t your business; they’re something for the IT people to worry about, and select, and install, and control. Right? Well, not exactly.
Setting up a web server is an IT thing, too, but we don’t assign IT staff the tasks of writing a site’s content, designing its visual aspects, or developing its information architecture; ideally, those are the responsibilities of people with other kinds of expertise. Why should setting up a search system be any different? Yet, it’s all too common for information architects to be told that search is off-limits.
The reason is clear: a search engine is a complex piece of technology. It often requires someone who understands the technical issues—for example, load balancing for servers, platform limitations, and so on—to be involved in search engine selection and configuration.
But ultimately, search is there for users, and it’s the responsibility of the information architect to advocate for users. An information architect will typically understand more than an IT specialist about how a search engine might benefit users by leveraging metadata, how its interface could be improved, or how it should be integrated with browsing. Additionally, consider all the aspects of a search system that we covered above; the search engine is just one piece of the puzzle. There are a lot of other decisions that must be made for the whole thing to behave, well, as a system that works well for users.
Ideally, the information architect, IT specialist, and people with other types of expertise will determine their respective needs, discuss how these might impact one another, and ultimately present a unified set of requirements when evaluating search-engine applications. Unfortunately, this is not always possible for political and other reasons. That’s why the information architect must be prepared to argue strongly for owning at least an equal responsibility for selecting and implementing the search engine that will best serve users, rather than the one that runs on someone’s favorite platform or is written in someone’s favorite programming language.
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Choosing What to Search
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Let’s assume that you’ve already chosen a search engine. What content should you index for searching? It’s certainly reasonable to point your search engine at your site, tell it to index the full text of every document it finds, and walk away. That’s a large part of the value of search systems—they can be comprehensive and can cover a huge amount of content quickly.
But indexing everything doesn’t always serve users well. In a large, complex web environment chock-full of heterogeneous subsites and databases, you may want to allow users to search the silo of technical reports or the staff directory without muddying their search results with the latest HR newsletter articles on the addition of fish sticks to the cafeteria menu. The creation of search zones—pockets of more homogeneous content—reduces the apples-and-oranges effect and allows users to focus their searches.
Choosing what to make searchable isn’t limited to selecting the right search zones. Each document or record in a collection has some sort of structure, whether rendered in HTML, XML, or database fields. In turn, that structure stores content components: pieces or “atoms” of content that are typically smaller than a document. Some of that structure—say, an author’s name—may be leveraged by a search engine, while other parts—such as the legal disclaimer at the bottom of each page—might be left out.
Finally, if you’ve conducted an inventory and analysis of your site’s content, you already have some sense of what content is “good.” You might have identified your valuable content by manually tagging it or through some other mechanism. You might consider making this “good” stuff searchable on its own, in addition to being part of the site-wide search. You might even program your search engine to search this “good” stuff first, and expand to search the rest of the site’s content if that first pass doesn’t retrieve useful results. For example, if most of an e-commerce site’s users are looking for products, those could be searched by default, and the search could then be expanded to cover the whole site as part of a revised search option.
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Search Algorithms
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Search engines find information in many ways. In fact, there are about 40 different retrieval algorithms alone, most of which have been around for decades. We’re not going to cover them all here; if you’d like to learn more, read any of the standard texts on information retrieval.
We bring up the topic because it’s important to realize that a retrieval algorithm is essentially a tool, and just like other tools, specific algorithms help solve specific problems. And as retrieval algorithms are at the heart of search engines, it’s important to note that there is absolutely no single search engine that will meet all of your users’ information needs. Remember that fact the next time you hear a search engine vendor claim that his product’s brand-new proprietary algorithm is the solution to all information problems.
Most retrieval algorithms employ pattern matching; that is, they compare the user’s query with an index of, typically, the full texts of your site’s documents, looking for the same string of text. When a matching string is found, the source document is added to the retrieval set. So a user types the textual query “electric guitar,” and documents that include the text string “electric guitar” are retrieved. It all sounds quite simple. But this matching process can work in many different ways to produce different results.

Recall and precision

Some algorithms return numerous results of varying relevance, while some return just a few high quality results. The terms for these opposite ends of the spectrum are recall and precision. There are even formulas for calculating them (note the difference in the denominators):
Recall = # relevant documents retrieved / # relevant documents in collection
Precision = # relevant documents retrieved / # total documents in collection
Are your site’s users doing legal research, learning about the current state of scientific research in a field, or performing due diligence about an acquisition? In these cases, they’ll want high recall. Each of the hundreds or thousands (or more?) results retrieved will have some relevance to the user’s search, although perhaps not very much. As an example, if a user is “ego-surfing,” she wants to see every mention of her name—she is hoping for high recall. The problem, of course, is that along with good results come plenty of irrelevant ones.
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Query Builders
Inhaltsvorschau
Besides search algorithms themselves, there are many other means of affecting the outcome of a search. Query builders are tools that can soup up a query’s performance. They are often invisible to users, who may not understand their value or how to use them. Common examples include:
Spell-checkers
These allow users to misspell terms and still retrieve the right results by automatically correcting search terms. For example, “accomodation” would be treated as “accommodation,” ensuring retrieval of results that contain the correct term.
Phonetic tools
Phonetic tools (the best-known of which is “Soundex”) are especially useful when searching for a name. They can expand a query on “Smith” to include results with the term “Smyth.”
Stemming tools
Stemming tools allow users to enter a term (e.g., “lodge”) and retrieve documents that contain variant terms with the same stem (e.g., “lodging”, “lodger”).
Natural language processing tools
These can examine the syntactic nature of a query—for example, is it a “how to” question or a “who is” question?—and use that knowledge to narrow retrieval.
Controlled vocabularies and thesauri
Covered in detail in Chapter 9, these tools expand the semantic nature of a query by automatically including synonyms within the query.
Spell-checkers correct for an almost universal problem among searchers and are well worth considering for your search system. (Look over your site’s search logs, and you’ll be amazed by the preponderance of typos and misspellings in search queries.) The other query builders have their pros and cons, addressing different information needs in different situations. Once again, a sense of your users’ information needs will help you select which approaches make the most sense for you; additionally, keep in mind that your search engine may or may not support these query builders.
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Presenting Results
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What happens after your search engine has assembled the results to display? There are many ways to present results, so once again you’ll need to make some choices. And as usual, the mysterious art of understanding your site’s content and how users want to use it should drive your selection process.
When you are configuring the way your search engine displays results, there are two main issues to consider: which content components to display for each retrieved document, and how to list or group those results.
A very simple guideline is to display less information to users who know what they’re looking for, and more information to users who aren’t sure what they want. A variant on that approach is to show users who are clear on what they’re looking for only representational content components, such as a title or author, to help them quickly distinguish the result they’re seeking. Users who aren’t as certain of what they’re looking for will benefit from descriptive content components such as a summary, part of an abstract, or keywords to get a sense of what their search results are about. You can also provide users some choice of what to display; again, consider your users’ most common information needs before setting a default. Figures 8-9 and 8-10 show a site that provides both options to users.
Figure 8-9: Salon uses search results with summaries to help users who want to learn about the documents they’ve retrieved
Figure 8-10: and without summaries for users who have a better sense of what they need
When it’s hard to distinguish retrieved documents because of a commonly displayed field (such as the title), show more information, such as a page number, to help the user differentiate between results.
Another take on the same concept is shown in Figure 8-11, which displays three versions of the same book. Some of the distinctions are meaningful; you’ll want to know which library has a copy available. Some aren’t so helpful; you might not care who the publisher is.
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Designing the Search Interface
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All the factors we’ve discussed so far—what to search, what to retrieve, and how to present the results—come together in the search interface. And with so much variation among users and search-technology functions, there can be no single ideal search interface. Although the literature of information retrieval includes many studies of search interface design, many variables preclude the emergence of a “right way” to design search interfaces. Here are a few of the variables on the table:
Level of searching expertise and motivation
Are users comfortable with specialized query languages (e.g., Boolean operators), or do they prefer natural language? Do they need a simple or a high-powered interface? Do they want to work hard to make their search a success, or are they happy with “good enough” results? How many iterations are they willing to try?
Type of information need
Do users want just a taste, or are they doing comprehensive research? What content components can help them make good decisions about clicking through to a document? Should the results be brief, or should they provide extensive detail for each document? And how detailed a query are users willing to provide to express their needs?
Type of information being searched
Is the information made up of structured fields or full text? Is it navigation pages, destination pages, or both? Is it written in HTML or other formats, including nontextual? Is the content dynamic or more static? Does it come tagged with metadata, full of fields, or is it full text?
Amount of information being searched
Will users be overwhelmed by the number of documents retrieved? How many results is the “right number”? That’s a lot to consider. Luckily, we can provide basic advice that you should consider when designing a search interface.
In the early days of the Web, many search engines emulated the functionality of the “traditional” search engines used for online library catalogs and CD ROM-based databases, or were ported directly from those environments. These traditional systems were often designed for researchers, librarians, and others who had some knowledge of and incentive for expressing their information needs in complex query languages. Therefore, many search systems at the time allowed the user to use Boolean operators, search fields, and so forth; in fact, users were often required to know and use these complex languages.
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Where to Learn More
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Although this is the longest chapter in this book, we’ve covered only the tip of the search system iceberg. If this piqued your interest, you may want to delve further into the field of information retrieval. Three of our favorite texts are:
  • Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto (Addison-Wesley).
  • Concepts of Information Retrieval by Miranda Lee Pao (Libraries Unlimited). This title is out of print, but you may be able to find used copies on Amazon.
  • On Search, the Series by Tim Bray, an excellent collection of essays on search written by the father of XML (http://www.tbray.org/ongoing/When/200x/2003/07/30/OnSearchTOC).
If you’re looking for more immediate and practical advice, the most useful site for learning about search tools is, naturally, Searchtools.com (http://www.searchtools.com), Avi Rappoport’s compendium of installation and configuration advice, product listings, and industry news. Another excellent source is Danny Sullivan’s Search Engine Watch (http://www.searchenginewatch.com), which focuses on web-wide searching but is quite relevant to site-wide searching nonetheless.
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Chapter 9: Thesauri, Controlled Vocabularies, and Metadata
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What we’ll cover:
Definitions of metadata and controlled vocabularies
Overview of synonym rings, authority files, classification schemes, and thesauri
Hierarchical, equivalence, and associative relationships
Faceted classification and guided navigation
A web site is a collection of interconnected systems with complex dependencies. A single link on a page can simultaneously be part of the site’s structure, organization, labeling, navigation, and searching systems. It’s useful to study these systems independently, but it’s also crucial to consider how they interact. Reductionism will not tell us the whole truth.
Metadata and controlled vocabularies present a fascinating lens through which we can view the network of relationships between systems. In many large metadata-driven web sites, controlled vocabularies have become the glue that holds the systems together. A thesaurus on the back end can enable a more seamless and satisfying user experience on the front end.
In addition, the practice of thesaurus design can help bridge the gap between past and present. The first thesauri were developed for libraries, museums, and government agencies long before the invention of the World Wide Web. As information architects we can draw upon these decades of experience, but we can’t copy indiscriminately. The web sites and intranets we design present new challenges and demand creative solutions.
But we’re getting ahead of ourselves. Let’s begin by defining some basic terms and concepts. Then we can work back toward the big picture.
When it comes to definitions, metadata is a slippery fish. Describing it as “data about data” isn’t very helpful. The following excerpt from Dictionary.com takes us a little further:
In data processing, meta-data is definitional data that provides information about or documentation of other data managed within an application or environment. For example, meta-data would document data about data elements or attributes (name, size, data type, etc.) and data about records or data structures (length, fields, columns, etc.) and data about data (where it is located, how it is associated, ownership, etc.). Meta-data may include descriptive information about the context, quality and condition, or characteristics of the data.
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Metadata
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When it comes to definitions, metadata is a slippery fish. Describing it as “data about data” isn’t very helpful. The following excerpt from Dictionary.com takes us a little further:
In data processing, meta-data is definitional data that provides information about or documentation of other data managed within an application or environment. For example, meta-data would document data about data elements or attributes (name, size, data type, etc.) and data about records or data structures (length, fields, columns, etc.) and data about data (where it is located, how it is associated, ownership, etc.). Meta-data may include descriptive information about the context, quality and condition, or characteristics of the data.
While these tautological explanations could lead us into the realms of epistemology and metaphysics, we won’t go there. Instead, let’s focus on the role that metadata plays in the practical realm of information architecture.
Metadata tags are used to describe documents, pages, images, software, video and audio files, and other content objects for the purposes of improved navigation and retrieval. The HTML keyword meta tag used by many web sites provides a simple example. Authors can freely enter words and phrases that describe the content. These keywords are not displayed in the interface but are available for use by search engines.
<meta name="keywords" content="information architecture, content management, 

knowledge management, user experience">
Many companies today are using metadata in more sophisticated ways. Leveraging content management software and controlled vocabularies, they create dynamic metadata-driven web sites that support distributed authoring and powerful navigation. This metadata-driven model represents a profound change in how web sites are created and managed. Instead of asking, “Where do I place this document in the taxonomy?” we can now ask, “How do I describe this document?” The software and vocabulary systems take care of the rest.
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Controlled Vocabularies
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Vocabulary control comes in many shapes and sizes. At its most vague, a controlled vocabulary is any defined subset of natural language. At its simplest, a controlled vocabulary is a list of equivalent terms in the form of a synonym ring, or a list of preferred terms in the form of an authority file. Define hierarchical relationships between terms (e.g., broader, narrower) and you’ve got a classification scheme. Model associative relationships between concepts (e.g., see also, see related) and you’re working on a thesaurus. Figure 9-1 illustrates the relationships between different types of controlled vocabularies.
Figure 9-1: Types of controlled vocabularies
Since a full-blown thesaurus integrates all the relationships and capabilities of the simpler forms, let’s explore each of these building blocks before taking a close look at the “Swiss Army Knife” of controlled vocabularies.
A synonym ring (see Figure 9-2) connects a set of words that are defined as equivalent for the purposes of retrieval. In practice, these words are often not true synonyms. For example, imagine you’re redesigning a consumer portal that provides ratings information about household products from several companies.
Figure 9-2: A synonym ring
When you examine the search logs and talk with users, you’re likely to find that different people looking for the same thing are entering different terms. Someone who’s buying a food processor may enter “blender” or one of several product names (or their common misspellings). Take a look at the content, and you’re likely to find many of these same variations.
There may be no preferred terms, or at least no good reason to define them. Instead, you can use the out-of-the-box capabilities of a search engine to build synonym rings. This can be as simple as entering sets of equivalent words into a text file. When a user enters a word into the search engine, that word is checked against the text file. If the word is found, then the query is “exploded” to include all of the equivalent words. For example, in Boolean logic:
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Technical Lingo
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If you’re working with controlled vocabularies and thesauri, it’s useful to know the core terminology used by experts in the field to communicate definitions and relationships. This specialized technical language can provide efficiency and specificity when communicating among experts. Just don’t expect your users to recognize these terms. In the web environment, you can’t require that users take a library science class before they use your information system.
Preferred Term (PT)
Also known as the accepted term, acceptable value, subject heading, or descriptor. All relationships are defined with respect to the Preferred Term.
Variant Term (VT)
Also known as entry terms or non-preferred terms, Variant Terms have been defined as equivalent to or loosely synonymous with the Preferred Term.
Broader Term (BT)
The Broader Term is the parent of the Preferred Term. It’s one level higher in the hierarchy.
Narrower Term (NT)
A Narrower Term is a child of the Preferred Term. It’s one level lower in the hierarchy.
Related Term (RT)
The Related Term is connected to the Preferred Term through the associative relationship. The relationship is often articulated through use of See Also. For example, Tylenol See Also Headache.
Use (U)
Traditional thesauri often employ the following syntax as a tool for indexers and users: Variant Term Use Preferred Term. For example, Tilenol Use Tylenol. Many people are more familiar with See, as in Tilenol See Tylenol.
Used For (UF)
This indicates the reciprocal relationship of Preferred Term UF Variant Term(s). It’s used to show the full list of variants on the Preferred Term’s record. For example, Tylenol UF Tilenol.
Scope Note (SN)
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A Thesaurus in Action
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It’s not so easy to find good examples of public web sites that leverage thesauri. Until recently, not many teams have had the knowledge or support to make this significant investment. We expect this to change in the coming years as thesauri become a key tool for dealing with the growing size and importance of web sites and intranets. Another barrier to finding good examples is that it’s often not obvious when a site is using a thesaurus. When it’s well integrated, a thesaurus can be invisible to the untrained eye. You have to know what you’re looking for to notice one. Think back to the Tilenol/Tylenol example. How many users even realize when the site adjusts for their misspelling?
One good example that will serve throughout this chapter is PubMed, a service of the National Library of Medicine. PubMed provides access to over 16 million citations from MEDLINE and additional life science journals. MEDLINE has been the premier electronic information service for doctors, researchers, and other medical professionals for many years. It leverages a huge thesaurus that includes more than 19,000 preferred terms or “main subject headings” and provides powerful searching capabilities.
PubMed provides a simpler public interface with free access to citations, but without access to the full text of the journal articles. Let’s first take a look at the interface, and then dive beneath the surface to see what’s going on.
Let’s say we’re studying African sleeping sickness. We enter that phrase into the PubMed search engine and are rewarded with the first 20 results out of 2,778 total items found (Figure 9-14). So far, there’s nothing apparently different about this search experience. For all we know, we might have just searched the full text of all 16 million journal articles. To understand what’s going on, we need to look deeper.
Figure 9-14: Search results on PubMed
In fact, we didn’t search the full-text articles at all. Instead, we searched the metadata records for these articles, which include a combination of abstracts and subject headings (Figure 9-15).
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Types of Thesauri
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Should you decide to build a thesaurus for your web site, you’ll need to choose from among three types: a classic thesaurus, an indexing thesaurus, and a searching thesaurus (Figure 9-20). This decision should be based on how you intend to use the thesaurus, and it will have major implications for design.
Figure 9-20: Types of thesauri
A classic thesaurus is used at the point of indexing and at the point of searching. Indexers use the thesaurus to map variant terms to preferred terms when performing document-level indexing. Searchers use the thesaurus for retrieval, whether or not they’re aware of the role it plays in their search experience. Query terms are matched against the rich vocabulary of the thesaurus, enabling synonym management, hierarchical browsing, and associative linking. This is the full-bodied, fully integrated thesaurus we’ve referred to for much of this chapter.
However, building a classic thesaurus is not always necessary or possible. Consider a scenario in which you have the ability to develop a controlled vocabulary and index documents, but you’re not able to build the synonym-management capability into the search experience. Perhaps another department owns the search engine and won’t work with you, or perhaps the engine won’t support this functionality without major customization.
Whatever the case, you’re able to perform controlled vocabulary indexing, but you’re not able to leverage that work at the point of searching and map users’ variant terms to preferred terms. This is a serious weakness, but there are a few reasons why an indexing thesaurus may be better than nothing:
  • It structures the indexing process, promoting consistency and efficiency. The indexers can work as an integrated unit, given a shared understanding of preferred terms and indexing guidelines.
  • It allows you to build browsable indexes of preferred terms, enabling users to find all documents about a particular subject or product through a single point of access.
Such consistency of indexing can provide real value for information systems with captive audiences. When dealing with an intranet application that’s used by the same people on a regular basis, you can expect these users to learn the preferred terms over time. In such an environment, indexing consistency begins to rival indexing quality in value.
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Thesaurus Standards
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As we explained earlier, people have been developing thesauri for many years. In their 1993 article “The evolution of guidelines for thesaurus construction,” David A. Krooks and F.W. Lancaster suggested that “the majority of basic problems of thesaurus construction had already been identified and solved by 1967.”
This rich history lets us draw from a number of national and international standards, covering the construction of monolingual (single-language) thesauri. For example:
  • ISO 2788 (1974, 1985, 1986, International)
  • BS 5723 (1987, British)
  • AFNOR NFZ 47-100 (1981, French)
  • DIN 1463 (1987–1993, German)
  • ANSI/NISO Z39.19 (1994, 1998, 2005, United States)
In this book, we draw primarily from the original U.S. standard, ANSI/NISO Z39.19 (1998), which is very similar to the International standard, ISO 2788. The ANSI/NISO standard is entitled “Guidelines for the Construction, Format and Management of Monolingual Thesauri.” The term “guidelines” in the title is very telling. Consider what software vendor Oracle has to say about its interpretation of this standard:
The phrase . . . thesaurus standard is somewhat misleading. The computing industry considers a “standard” to be a specification of behavior or interface. These standards do not specify anything. If you are looking for a thesaurus function interface, or a standard thesaurus file format, you won’t find it here. Instead, these are guidelines for thesaurus compilers—compiler being an actual human, not a program.
What Oracle has done is taken the ideas in these guidelines and in ANSI Z39.19 . . . and used them as the basis for a specification of our own creation . . . So, Oracle supports ISO-2788 relationships or ISO-2788 compliant thesauri.
As you’ll see when we explore a few examples, the ANSI/NISO standard provides simple guidelines that are very difficult to apply. The standard provides a valuable conceptual framework and in some cases offers specific rules you can follow, but it absolutely does not remove the need for critical thinking, creativity, and risk-taking in the process of thesaurus construction.
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Semantic Relationships
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What sets a thesaurus apart from the simpler controlled vocabularies is its rich array of semantic relationships. Let’s explore each relationship more closely.
The equivalence relationship (Figure 9-21) is employed to connect preferred terms and their variants. While we may loosely refer to this as “synonym management,” it’s important to recognize that equivalence is a broader term than synonymy.
Figure 9-21: The equivalence relationship
Our goal is to group terms defined as “equivalent for the purposes of retrieval.” This may include synonyms, near-synonyms, acronyms, abbreviations, lexical variants, and common misspellings; for example:
Preferred term
Palm m505
Variant terms (equivalents)
Palm, Palm Pilot, Palm 505, Palm505, Palm V, Handheld, Pocket PC, Handspring Visor
In the case of a product database, it may also include the names of retired products and of competitors’ products. Depending on the desired specificity of your controlled vocabulary, you may also fold more general and more specific terms into the equivalence relationship to avoid extra levels of hierarchy. The goal is to create a rich entry vocabulary that serves as a funnel, connecting users with the products, services, and content that they’re looking for and that you want them to find.
The hierarchical relationship (Figure 9-22) divides up the information space into categories and subcategories, relating broader and narrower concepts through the familiar parent-child relationship.
Figure 9-22: The hierarchical relationship
There are three subtypes of hierarchical relationship:
Generic
This is the traditional class-species relationship we draw from biological taxonomies. Species B is a member of Class A and inherits the characteristics of its parent. For example, Bird NT Magpie.
Whole-part
In this hierarchical relationship, B is a part of A. For example, Foot NT Big Toe.
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Preferred Terms
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Terminology is critical. The following sections examine some aspects of terminology in detail.
Defining the form of preferred terms is something that seems easy until you try it. All of a sudden, you find yourself plunged into heated arguments over grammatical minutiae. Should we use a noun or a verb? What’s the “correct” spelling? Do we use the singular or plural form? Can an abbreviation be a preferred term? These debates can suck up large amounts of time and energy.
Fortunately, the ANSI/NISO thesaurus standard goes into great detail in this area. We recommend following these guidelines, while allowing for exceptions when there’s a clear benefit. Some of the issues covered by the standard include:
TopicOur interpretation and advice
Grammatical form The standard strongly encourages the use of nouns for preferred terms. This is a good default guideline, since users are better at understanding and remembering nouns than verbs or adjectives. However, in the real world, you’ll encounter lots of good reasons to use verbs (i.e., task-oriented words) and adjectives (e.g., price, size, variety, color) in your controlled vocabularies.
Spelling The standard notes that you can select a “defined authority,” such as a specific dictionary or glossary, or you can choose to use your own “house style.” You might also consider the most common spelling forms employed by your users. The most important thing here is that you make a decision and stick to it. Consistency will improve the lives of your indexers and users.
Singular and plural form The standard recommends using the plural form of “count nouns” (e.g., cars, roads, maps). Conceptual nouns (e.g., math, biology) should remain in singular form. Search technology has rendered this less important than in the past. Once again, consistency is the goal in this case.
Abbreviations and acronyms The guidelines suggest to default to popular use. For the most part, your preferred terms will be the full words. But in cases such as RADAR, IRS, 401K, MI, TV, and PDA, it may be better to use the acronym or abbreviation. You can always rely on your variant terms to guide users from one form to the other (e.g., Internal Revenue Service See IRS).
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Polyhierarchy
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In a strict hierarchy, each term appears in one and only one place. This was the original plan for the biological taxonomy. Each species was supposed to fit neatly into one branch of the tree of life.
kingdom:

  phylum:

    sub-phylum:

      class:

        order:

          family:

            species
However, things didn’t go according to plan. In fact, biologists have been arguing for decades over the correct placement of various species. Some organisms have the audacity to exhibit characteristics of multiple categories.
If you’re a purist, you can attempt to defend the ideal of strict hierarchy within your web site. Or, if you’re pragmatic, you can allow for some level of polyhierarchy, permitting some terms to be cross-listed in multiple categories. This is shown in Figure 9-24.
Figure 9-24: Hierarchy and polyhierarchy
When you’re dealing with large information systems, polyhierarchy is unavoidable. As the number of documents grows, you need a greater level of precoordination (using compound terms) to increase precision, which forces polyhierarchy. For example, Medline cross-lists viral pneumonia under both virus diseases and respiratory tract diseases (Figure 9-25).
Figure 9-25: Polyhierarchy in Medline
Yahoo! is another large site that makes prolific use of polyhierarchy (Figure 9-26). The @ signs are used to note categories that are cross-listed under other branches within the hierarchy. In the classification and placement of physical objects, polyhierarchy causes a problem. Physical objects can typically be in only one place at one time. The Library of Congress classification scheme was developed so that each book in a library could be placed (and found) in one and only one location on the shelves. In digital information systems, the only real challenge introduced by polyhierarchy is representing the navigational context. Most systems allow for the notion of primary and secondary locations within the hierarchy. Yahoo!’s @ signs lead users from the secondary to the primary locations.
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Faceted Classification
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In the 1930s, an Indian librarian by the name of S. R. Ranganathan created a new type of classification system. Recognizing the problems and limitations of these top-down single-taxonomy solutions, Ranganathan built his system upon the notion that documents and objects have multiple dimensions, or facets.
The old model asks the question, “Where do I put this?” It’s more closely tied to our experience in the physical world, with the idea of one place for each item. In contrast, the faceted approach asks the question, “How can I describe this?”
Like many librarians, Ranganathan was an idealist. He argued that you must build multiple “pure” taxonomies, using one principle of division at a time. He suggested five universal facets to be used for organizing everything:
  • Personality
  • Matter
  • Energy
  • Space
  • Time
In our experience, the faceted approach has great value, but we don’t tend to use Ranganathan’s universal facets. Instead, common facets in the business world include:
  • Topic
  • Product
  • Document type
  • Audience
  • Geography
  • Price
Still confused about facets? See Figure 9-27. All we’re really doing is applying the structure of a fielded database to the more heterogeneous mix of documents and applications in a web site. Rather than the one-taxonomy-fits-all approach of Yahoo!, we’re embracing the concept of multiple taxonomies that focus on different dimensions of the content.
Figure 9-27: Single hierarchy versus multiple (faceted) hierarchies
Wine.com provides a simple example of faceted classification. Wine has several facets that we commonly mix and match in our selection process at restaurants and grocery stores:
FacetSample controlled vocabulary values
TypeRed (Merlot, Pinot Noir), White (Chablis, Chardonnay), Sparkling, Pink, Dessert
Region (origin)Australian, Californian, French, Italian
Winery (manufacturer)Blackstone, Clos du Bois, Cakebread
Year1969, 1990, 1999, 2000
Price$3.99, $20.99, < $199, Cheap, Moderate, Expensive
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Chapter 10: Research
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What we’ll cover:
Integrating IA into the web development process
How and why to study users, context, and content
Research methods including stakeholder interviews, heuristic evaluations, user testing, and card sorting
So far, we’ve focused on concepts and components. Now we’re going to shift gears and explore the process and methods for creating information architectures.
If it were just a matter of whipping up a few standard blueprints, our jobs would be easy. But as we’ve explained, information architecture doesn’t happen in a vacuum. The design of complex web sites requires an interdisciplinary team that involves graphic designers, software developers, content managers, usability engineers, and other experts.
Effective collaboration requires agreement on a structured development process. Even for smaller projects, when teams are tiny and individuals fill multiple roles, tackling the right challenges at the right time is critical to success.
The following chapters provide an overview of the process and the challenges you’ll encounter along the way. Our focus on the early stages of research, strategy, and design, rather than the later stages of implementation and administration, belies our consulting background. While the vast majority of our experiences have involved strategy and design for fast-paced information architecture projects, we are true believers in the importance of nailing the details in implementation and building sustainable information architecture programs. The dedicated in-house staff who protect and perfect information architectures over the long haul are the unsung heroes of the field.
In the early days of web design, many companies employed a one-step process called “Code HTML.” Everyone wanted to jump right in and build the site. People had no patience for research or strategy. We remember one eager client asking us in the middle of a planning session, “So when are we going to start the real work?” Fortunately, after several years of painful lessons, there’s a growing realization that designing web sites is hard work and requires a phased approach. Figure 10-1 illustrates the process of information architecture.
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Process Overview
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In the early days of web design, many companies employed a one-step process called “Code HTML.” Everyone wanted to jump right in and build the site. People had no patience for research or strategy. We remember one eager client asking us in the middle of a planning session, “So when are we going to start the real work?” Fortunately, after several years of painful lessons, there’s a growing realization that designing web sites is hard work and requires a phased approach. Figure 10-1 illustrates the process of information architecture.
Figure 10-1: The process of information architecture development
The research phase begins with a review of existing background materials and meetings with the strategy team, aimed at gaining a high-level understanding of the goals and business context, the existing information architecture, the content, and the intended audiences. It then quickly moves into a series of studies, employing a variety of methods to explore the information ecology.
This research provides a contextual understanding that forms the foundation for development of an information architecture strategy. From a top-down perspective, this strategy defines the highest two or three levels of the site’s organization and navigation structures. From a bottom-up perspective, it suggests candidate document types and a rough metadata schema. This strategy provides a high-level framework for the information architecture, establishing a direction and scope that will guide the project through implementation.
Design is where you shape a high-level strategy into an information architecture, creating detailed blueprints, wireframes, and metadata schema that will be used by graphic designers, programmers, content authors, and the production team. This phase is typically where information architects do the most work, yet quantity cannot drive out quality. Poor design execution can ruin the best strategy. For an information architect, the meat is in the middle and the devil is in the details.
Implementation is where your designs are put to the test as the site is built, tested, and launched. For the information architect, this phase involves organizing and tagging documents, testing and troubleshooting, and developing documentation and training programs to ensure that the information architecture can be maintained effectively over time.
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A Research Framework
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Good research means asking the right questions. And choosing the right questions requires a conceptual framework of the broader environment.
We have found our faithful three-circle diagram shown in Figure 10-2 to be invaluable in shaping a balanced approach to research. It helps us to decide where to shine the flashlight, and to understand what we see. Consequently, we have used this model to organize our exploration of the research process.
Figure 10-2: A balanced approach to research
We begin with an overview of tools and methods for research (see Figure 10-3). Obviously, it won’t make sense or be possible to use every tool on every project. And, of course, you should absolutely seek out and try methods we haven’t covered.
Figure 10-3: Tools and methods for research
Our goal is to provide you with a map and a compass. The journey is left to you.
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Context
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For practical purposes, an investigation of the business context can be a good place to start. It’s critical to begin projects with a clear understanding of the goals and an appreciation of the political environment. Ignoring business realities is just as dangerous as ignoring users. A perfectly usable site that fails to support business goals won’t last long. The term “user-centered design” is valuable insofar as it moves the pendulum away from executive-centered design, but don’t let that pendulum swing too far.
Of course, context isn’t just about politics. We also need to understand goals, budgets, schedules, technology infrastructure, human resources, and corporate culture. Legal issues can also be important, particularly in heavily regulated industries. All of these factors can and should influence the shape of the information architecture strategy.
Research is not a one-way street. While conducting your investigation, it’s important to recognize the value of building awareness and support for your project. After all, you’re not a scientist studying rats. Your human subjects will have their own set of questions and concerns. For example:
  • Who are you and why are you asking me these questions?
  • What’s information architecture and why should I care?
  • What’s your methodology and how does it relate to my work?
The way you answer these questions will influence the level of support you receive throughout the project. Since most large sites today depend upon interdepartmental collaboration and decentralized content ownership, it’s impossible to succeed without broad buy-in. For this reason, you’ll want to weave elements of presentation and persuasion throughout the research process.
When a project begins, an information architect’s head is filled with all sorts of good questions.
  • What are the short- and long-term goals?
  • What’s the business plan? What are the politics?
  • What’s the schedule and budget?
  • Who are the intended audiences?
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Content
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We define content broadly as “the stuff in your web site.” This may include documents, data, applications, e-services, images, audio and video files, personal web pages, archived email messages, and more. And we include future stuff as well as present stuff.
Users need to be able to find content before they can use it—findability precedes usability. And if you want to create findable objects, you must spend some time studying those objects. You’ll need to identify what distinguishes one object from another, and how document structure and metadata influence findability. You’ll want to balance this bottom-up research with a top-down look at the site’s existing information architecture.
Many projects involve redesigning existing web sites rather than creating new ones. In such cases, you’re granted the opportunity to stand on the shoulders of those who came before you. Unfortunately, this opportunity is often missed because of people’s propensity to focus on faults and their desire to start with a clean slate. We regularly hear our clients trashing their own web sites, explaining that the current site is a disaster and we shouldn’t waste our time looking at it. This is a classic case of throwing out the baby with the bathwater. Whenever possible, try to learn from the existing site and identify what’s worth keeping. One way to jump-start this process is to conduct a heuristic evaluation.
A heuristic evaluation is an expert critique that tests a web site against a formal or informal set of design guidelines. It’s usually best to have someone outside the organization perform this critique, so this person is able to look with fresh eyes and be largely unburdened with political considerations. Ideally, the heuristic evaluation should occur before a review of background materials to avoid bias.
At its simplest, a heuristic evaluation involves one expert reviewing a web site and identifying major problems and opportunities for improvement. This expert brings to the table an unwritten set of assumptions about what does and doesn’t work, drawing upon experiences with many projects in many organizations.
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Users
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They’re called users, respondents, visitors, actors, employees, customers, and more. They’re counted as clicks, impressions, advertising revenues, and sales. Whatever you call them and however you count them, they are the ultimate designers of the Web. Build a web site that confuses customers, and they’ll go elsewhere. Build an intranet that frustrates employees, and they won’t use it.
This is the Internet’s fast-forward brand of evolution. Remember the original Pathfinder web site from Time Warner? They spent millions of dollars on a flashy, graphical extravaganza. Users hated it. A complete redesign followed months after the original launch. This was an expensive and embarrassingly public lesson in the importance of user-sensitive design.
So, we’ve established that users are powerful. They’re also complex and unpredictable. You can’t blindly apply lessons learned by Amazon to the information architecture design of Pfizer.com. You’ve got to consider the unique nature of the site and of the user population.
There are many ways to study user populations. Market-research firms run focus groups to study branding preferences. Political pollsters use telephone surveys to gauge the public’s feelings about candidates and issues. Usability firms conduct interviews to determine which icons and color schemes are most effective. Anthropologists observe people acting and interacting within their native environments to learn about their culture, behavior, and beliefs.
No single approach can stand alone as the one right way to learn about users and their needs, priorities, mental models, and information-seeking behavior. This is a multidimensional puzzle—you’ve got to look at it from many different perspectives to get a good sense of the whole. It’s much better to conduct five interviews and five usability tests than to run one test ten times. Each approach is subject to the law of diminishing returns.
As you consider integrating these user research methods into your design process, keep a couple of things in mind. First, observe the golden rule of discount usability engineering: any testing is better than no testing. Don’t let budgets or schedules become an excuse. Second, remember that users can be your most powerful allies. It’s easy for your colleagues and your boss to argue with you, but it’s difficult for them to argue with their customers and with real user behavior. User research is an extremely effective political tool.
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Participant Definition and Recruiting
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All of the remaining user research methods, including surveys, focus groups, interviews, and ethnographic studies, require the selection of representative samples of users to participate in the research studies. With the possible exception of surveys, it’s rarely possible to study every user of a web site.
The definition and prioritization of intended and actual audiences for the site is obviously a critical factor. As we discussed earlier, there are myriad ways of slicing and dicing these audiences. Just as you define a primary hierarchy for your web site, you also need to define a primary hierarchy for participant selection. This hierarchy should strike a balance between the traditional ways that an organization views its customers (e.g., home users, business users, value-added resellers) and the distinctions an information architect is interested in (e.g., people familiar with the old site, people unfamiliar with the old site).
For large projects, the information architect should consider working with a traditional market-research firm that has experience defining audience categories, developing profiles of participants within those categories, recruiting participants, and handling logistics like facilities, incentives, and note taking.
Surveys are a broad-and-shallow research tool that provide an opportunity to gather input from a large number of people relatively quickly and inexpensively. Surveys can be conducted via email, web, telephone, mail, or in person, and can be used to gather qualitative or quantitative data.
When designing a survey, you’ll need to limit the number of questions if you want a reasonable response rate. You may also need to guarantee anonymity and offer an incentive. Since there’s little opportunity for follow-up questions or dialogue, surveys don’t allow you to gather rich data about users’ information-seeking behaviors. Instead, they are best used for identifying:
  • Which content and tasks users find most valuable
  • What frustrates users most about the current site
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User Research Sessions
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Face-to-face sessions involving one user at a time are a central part of the user research process. However, these sessions are also expensive and time-consuming. We’ve learned that you tend to get the most value out of these sessions by integrating two or more research methods. We typically combine an interview with either card sorting or user testing. This multimethod approach makes the most of your limited time with real users.
We often begin and end user research sessions with a series of questions. Starting with a brief Q&A can put the participant at ease. This is a good time to ask about her overall priorities and needs with respect to the site. Questions at the end of the session can be used to follow up on issues that came up during the user testing. This is a good time to ask what frustrates her about the current site and what suggestions she has for improvement. This final Q&A brings closure to the session. Here are some questions we’ve used for intranet projects in the past.
Background
  • What do you do in your current role?
  • What is your background?
  • How long have you been with the company?
Information use
  • What information do you need to do your job?
  • What information is hardest to find?
  • What do you do when you can’t find something?
Intranet use
  • Do you use the intranet?
  • What is your impression of the intranet? Is it easy or hard to use?
  • How do you find information on the intranet?
  • Do you use customization or personalization features?
Document publishing
  • Do you create documents that are used by other people or departments?
  • Tell us what you know about the life cycle of your documents. What happens after you create them?
  • Do you use content management tools to publish documents to the intranet?
Suggestions
  • If you could change three things about the intranet, what would they be?
  • If you could add three features to the web site, what would they be?
  • If you could tell the web strategy team three things, what would they be?
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In Defense of Research
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The design or redesign of any complex web site should begin with research leading to the formation of an information architecture strategy. Through research, we aim to learn enough about the business goals, the users, and the information ecology to develop a solid strategy. By creating, presenting, and refining this strategy, we can work toward consensus on the direction and scope of the site’s structure and organization.
This strategy will then serve as the roadmap for all subsequent design and implementation work. It will not only drive the information architecture process, but also guide the work of graphic designers, content authors, and programmers. While each of these teams will take different paths, the information architecture strategy ensures that everyone is headed toward a common destination.
Sometimes these are separate phases. Sometimes they are combined into a joint research and strategy phase. Either way, it’s important to have the same team of people involved in performing the research and developing the strategy. In cases where these are done separately, the research team tends to lack direction and focus, seeking answers that are interesting but not necessarily actionable, while the strategy team lacks the richness of direct interaction with users, opinion leaders, and content. Only a small percentage of the hands-on learning can be conveyed through formal presentations and reports.
What happens if you don’t make the time for research? There’s no need to hazard a guess to this question—we’ve seen firsthand the very messy results of uncoordinated web development projects. On one occasion, we were brought into a large-scale e-commerce project in midstream. The client had chosen to skip the research and strategy phases because they wanted to “move fast.” Graphic designers had created beautiful page templates; content authors had restructured and indexed large numbers of articles; the technical team had selected and purchased a content management system. None of these components worked together. There was no shared vision for how to connect users and content. In fact, nobody could even agree on the primary goals of the web site. The project entered what one participant eloquently called a “death spiral,” as each team tried to convince the others that its vision was the right one. The client eventually pulled the plug, deciding it would be more efficient to start over rather than try to salvage the incompatible and fairly misguided efforts of each team.
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Chapter 11: Strategy
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What we’ll cover:
The elements of an information architecture strategy
Guidelines for moving from research to strategy
Using metaphors, scenarios, and conceptual diagrams to bring your strategy to life
Project plans, presentations, and the strategy report (including a detailed example from Weather.com)
Research can be addictive: the more you learn, the more questions you have. This is why doctoral students sometimes take more than a decade to complete their dissertations. Information architects rarely have that luxury. We typically need to move from research to design according to schedules measured in weeks or months rather than years.
The bridge between research and design is an information architecture strategy. It’s critical that you start thinking about how you’re going to build that bridge before research begins, and keep thinking about it throughout the research process. Similarly, as you’re building the bridge, you need to continue your research efforts—continually testing and refining your assumptions.
In short, the line between research and strategy is blurred. It’s not as simple as turning the page from Chapter 10 to Chapter 11. Though the process of moving from research to administration is linear at a high level, as shown in Figure 11-1 (also featured in the previous chapter), when you get down into the details this is a highly iterative, interactive process.
Figure 11-1: The process of information architecture development
The information architect must repeatedly switch back and forth, wearing both the researcher’s hat and the strategist’s hat against the backdrop of a budget and schedule. Oh, did we mention there’s some stress involved? There’s no question that this is hard work, but it can be fun and rewarding, too.
An information architecture strategy is a high-level conceptual framework for structuring and organizing a web site or intranet. It provides the firm sense of direction and scope necessary to proceed with confidence into the design and implementation phases. It also facilitates discussion and helps get people on the same page before moving into the more expensive design phase. Just as the operating plans of each department should be driven by a unifying business strategy, the design of a detailed information architecture should be driven by a holistic information architecture strategy.
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What Is an Information Architecture Strategy?
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An information architecture strategy is a high-level conceptual framework for structuring and organizing a web site or intranet. It provides the firm sense of direction and scope necessary to proceed with confidence into the design and implementation phases. It also facilitates discussion and helps get people on the same page before moving into the more expensive design phase. Just as the operating plans of each department should be driven by a unifying business strategy, the design of a detailed information architecture should be driven by a holistic information architecture strategy.
To succeed, we need a solution that will work within the unique information ecology at hand. Based upon the results of our research into context, users, and content, we’re striving to design a strategy that balances the needs and realities of each.
The information architecture strategy provides high-level recommendations regarding:
Information architecture administration
It’s critical to look ahead to the end game and create a realistic strategy for developing and maintaining the information architecture. This covers the inevitable centralization versus decentralization questions that are closely tied to politics, the departmental structure, and content ownership. Are you looking at a command-and-control model or a federated approach? Will your architecture deliver users to subsites or all the way through to content and applications? Can we trust content authors to apply metadata? Who will manage the controlled vocabularies?
Technology integration
The strategy must address opportunities to leverage existing tools and identify needs for additional technologies to develop or manage the information architecture. Key technology categories include search engines, content management, auto-classification, collaborative filtering, and personalization.
Top-down or bottom-up emphasis
Many factors influence where to focus your energies, including the current status of the site, the political environment, and the IA management model. For example, if there’s already a solid top-down information architecture or a strong interaction design team that “owns” the primary hierarchy, bottom-up is probably the way to go.
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Strategies Under Attack
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While we’re on the topic of buy-in, it’s worth discussing some critical issues that crop up again and again when developing information architecture strategies. It’s not unusual for a hostile stakeholder within a client’s organization to ask the following questions during an interview:
  • How can you develop an information architecture when we don’t have a business strategy?
  • How can you develop an information architecture before we have the content in place?
These questions can stop the inexperienced information architect in his tracks, especially when they’re asked by a Chief Information Officer or a Vice President for Business Strategy within a Fortune 500 corporation. It’s at times like that when you wish you’d read one of those books on how to deal with difficult people or how to disappear into thin air.
Fortunately, the lack of a written business plan or a complete content repository does not mean you need to fold up your blueprints and go home. In all our years of consulting for Fortune 500 clients, we’ve never seen a business plan that was complete or up to date, and we’ve never seen a content collection that wouldn’t undergo significant change within a twelve-month period.
The reality is that you’re dealing with a classic chicken-and-egg problem. There are no clean answers to the questions:
  • What comes first, the business strategy or the information architecture?
  • What comes first, the content or the information architecture?
Business strategies, content collections, and information architectures don’t exist in a vacuum, and they don’t hatch from the egg fully formed. They co-evolve in a highly interactive manner.
Developing an information architecture strategy is a wonderful way to expose gaps in business strategies and content collections. The process forces people to make difficult choices that they’ve thus far managed to avoid. Seemingly simple questions about organization and labeling issues can often set off a ripple effect that impacts business strategy or content policy. For example:
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From Research to Strategy
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A good information architect starts considering possible strategies for structuring and organizing the site before the research even begins. During the research phase, throughout the user interviews and content analysis and benchmarking studies, you should be constantly testing and refining the hypotheses already in your head against the steady stream of data you’re compiling. If you’re really committed (or ready to be committed, depending on how you look at it), you’ll be wrestling with organization structures and labeling schemes in the shower. By the way, that’s a great place for a whiteboard!
In any case, you should never wait until the strategy phase to start thinking and talking within your team about strategy. That’s a given. The more difficult timing issue involves deciding when to begin articulating, communicating, and testing your ideas about possible strategies. When do you create your first conceptual blueprints and wireframes? When do you share them with clients? When do you test your assumptions in user interviews?
As usual, there’s no easy answer. The research phase exists to challenge your (and everyone else’s) preconceived notions regarding content, context, and users. You need a structured methodology in place to create the necessary space for learning. However, you’ll reach a point in the research process when you begin to experience the law of diminishing returns. You’re no longer learning anything new by asking the same questions in open-ended user interviews, and you’re anxious to flesh out one or two hierarchies and start introducing your structures and labels to users, clients, and colleagues.
Whether or not the timing corresponds with the formal project plan, this is the point when you move from research to strategy. The emphasis shifts from open-ended learning to designing and testing. While you can continue to use research methodologies as you move through this phase, your focus should shift to articulating your ideas through visuals (conceptual blueprints and wireframes), sharing those visuals with clients and colleagues in strategy meetings, and testing your organization structures and labeling schemes with users.
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Developing the Strategy
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The transition from research to strategy involves a shift from a primary focus on process to a balance between process and product. Methodology is still important, but the work products and deliverables you create by applying that methodology move toward the center of attention.
Moving from a mode of absorption to one of creation is often a difficult transition for the information architect. No matter how much qualitative or quantitative research you’ve done, the development of an information architecture strategy is inherently a creative process, with all the associated messiness, frustration, pain, and fun.
Figure 11-2 presents an outline of the strategy development process and the resulting deliverables. Note the preponderance of arrows. This is a highly iterative and interactive process. Let’s take a look at the four steps along the path: think, articulate, communicate, and test (TACT).
Figure 11-2: Developing the information architecture strategy with TACT
The human mind is the ultimate black box. Nobody really understands the process by which input (e.g., research data) is converted into output (e.g., creative ideas). Our advice is to use whatever works best for you. Some people think best by themselves, while taking a long walk or doodling on a pad of paper. Others think best in a group setting. The key is to recognize that you need to create some time and space to digest all that you’ve learned during research and become ready to be productive.
As your ideas begin to form, it’s important to begin articulating them. It’s best to start informally, scribbling diagrams and notes on paper or whiteboard. Stay away from visual design software at this point; otherwise, you’ll waste energy on layout and formatting when you should be focused on developing your ideas.
Once again, some people work best alone whereas others need a sounding board. We’ve seen teams of two or three information architects work well together to flesh out ideas, collaborating around design of high-level visuals on a whiteboard. We’ve also seen environments where teams of eight or more people from a variety of backgrounds lock themselves in a room for day-long “collaborative design workshops.” In our experience, these have been highly inefficient, unproductive exercises that lead to groupthink and exhaustion. Large group meetings may be good for brainstorming and sharing reactions, but not for designing complex systems.
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Work Products and Deliverables
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Throughout this chapter, we’ve referred to a variety of work products and deliverables (e.g., sample architectures, organizational schemas, and labeling systems) that may prove useful in communicating an information architecture strategy. Let’s explore the advantages, disadvantages, and proper uses of a few.
Metaphor is a powerful tool for communicating complex ideas and generating enthusiasm. By suggesting creative relationships or mapping the familiar onto the new, metaphor can be used to explain, excite, and persuade. In 1992, vice-presidential candidate Al Gore popularized the term “information superhighway.” This term mapped the familiar metaphor of the physical highway infrastructure of the United States onto the new and unfamiliar concept of a national information infrastructure. Gore used this metaphor to excite the voters about his vision for the future. Although the term is oversimplified and has since been horribly overused, it did inspire people to learn about and discuss the importance and direction of the global Internet.
Many types of metaphors can be applied in the design of web sites. Let’s look at three of the most important ones.
Organizational metaphors
These leverage familiarity with one system’s organization to convey quick understanding of a new system’s organization. For example, when you visit an automobile dealership, you must choose to enter new car sales, used car sales, repairs and services, or parts and supplies. People have a mental model of how dealerships are organized. If you’re creating a web site for an automobile dealership, it may make sense to employ an organizational metaphor that draws from this model.
Functional metaphors
These make a connection between the tasks you can perform in a traditional environment and those you can perform in the new environment. For example, when you enter a traditional library, you can browse the shelves, search the catalog, or ask a librarian for help. Many library web sites present these tasks as options for users, thereby employing a functional metaphor.
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The Strategy Report
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In our experience, this deliverable serves as the catalyst for the most detailed, comprehensive articulation of the information architecture strategy. The process of integrating the previous results, analysis, and ideas into a single written document forces tough decisions, intellectual honesty, and clear communication. Great ideas that don’t fit within the broader framework must be discarded in the name of consistency and cohesiveness. Big, vague ideas must be broken down into components and explained so that all involved can understand their intention and implications.
For the information architecture team, the strategy report is often the largest, hardest, and most important deliverable. It forces the team members to come together around a unified vision for the information architecture, and requires them to find ways to explain or illustrate that vision so that clients and colleagues (i.e., people who are not information architects) will understand what the heck they’re talking about.
One of the hardest things about writing the report is organizing it. Here you face yet another chicken-and-egg problem. An information architecture strategy is not linear, but a report forces a linear presentation. “How will they understand this section if they haven’t read that later section?” is a common question. There’s rarely a perfect solution, but the problem can be dealt with in a couple of ways. First of all, by including high-level visuals in the report, you can paint a nonlinear big picture and follow up with linear textual explanations. Second, remember that a strategy report cannot and should not stand completely alone. You should always have an opportunity to verbally explain your ideas and answer questions. Ideally, you’ll have a face-to-face information architecture strategy presentation; at a minimum, you should have a conference call to discuss reactions and answer questions.
The only thing harder and more abstract than writing an information architecture strategy report is trying to write about how to write one. To bring this subject to life, let’s examine a real strategy report that Argus created for the Weather Channel (
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The Project Plan
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We often find it useful to go beyond the content management discussion and actually create a project plan for information architecture design as part of the strategy phase deliverables.
This project plan can accomplish two major objectives. First, when developed in parallel with the strategy report, it forces the team to constantly ask questions such as:
  • How will we accomplish that?
  • How long will it take?
  • Who will do it?
  • What kinds of deliverables will be required?
  • What are the dependencies?
This ensures that information architecture strategy is grounded in reality. The second objective of the project plan is to form the bridge between strategy and design. It can be integrated with plans from other teams (e.g., interaction design, content authoring, or application development) toward the development of a structured schedule for overall site design.
Given the common need to show some immediate progress, we usually provide short-term and long-term plans. In the short-term plan, we focus on low-hanging fruit, defining a process for design changes that can and should be made immediately to improve the information architecture. In the long-term plan, we present a methodology for fleshing out the information architecture, noting interdependencies with other teams where appropriate.
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Presentations
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You’ve done rigorous research and brilliant brainstorming. You’ve created a detailed, high-quality strategy report and a solid project plan. You’ve worked hard. You’ve successfully completed the strategy phase, right? Wrong!
We’ve learned through painful experience that information architecture deliverables can die a quiet death if they’re left to fend for themselves. People are busy, have short attention spans, and generally don’t enjoy reading 50-page information architecture strategy reports. Without some form of presentation and discussion, many of your best recommendations may never see the light of day.
It’s often a good idea to make one or more presentations to the people who need to understand your recommendations. In some situations, this might take the form of a single presentation to the web site or intranet strategy team. In other situations, you make dozens of presentations to various departments to achieve organization-wide understanding and buy-in. You need to think about these presentations from a sales perspective. Success is defined by the extent to which you can communicate and sell your ideas in a clear and compelling manner.
First, make sure you’ve got the basics down. Select some highlights of your recommendations that will really get the attention of the particular group you’re talking to. Then, organize your thoughts into a logical order to create a smooth presentation.
After you’ve figured all that out, you can consider ways to bring the presentation to life. Visuals such as charts, graphs, and conceptual diagrams can make a big difference, as can the use of metaphor. Remember, you’re selling ideas. Metaphor can be a powerful tool for transforming garden-variety ideas into contagious, self-replicating memes.
Consider this example. We were designing an information architecture strategy for the primary web site of a Global 100 corporation. We had developed three possible strategies with the following working titles:
Umbrella Shell for Separate Hubs
Develop a broad but shallow umbrella web site that directs users to independently maintained subsites or “hubs.” Distributed control. Low cost, low usability.
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Chapter 12: Design and Documentation
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What we’ll cover:
The role of diagrams in the design phase
Why, when, and how to develop blueprints and wireframes, the two most common types of IA diagrams
How to map and inventory your site’s content
Content models and controlled vocabularies for connecting and managing granular content within your site
Ways to enhance your collaboration with other members of the design team
Style guides for capturing your past decisions and guiding your future ones
When you cross the bridge from research and strategy into design, the landscape shifts quite dramatically. The emphasis moves from process to deliverables, as your clients and colleagues expect you to move from thinking and talking to actually producing a clear, well-defined information architecture.
This can be an uneasy transition. You must relinquish the white lab coat of the researcher, leave behind the ivory tower of the strategist, and forge into the exposed territory of creativity and design. As you commit your ideas to paper, it can be scary to realize there’s no going back. You are now actively shaping what will become the user experience. Your fears and discomforts will be diminished if you’ve had the time and resources to do the research and develop a strategy; if you’re pushed straight into design (as is too often the case), you’ll be entering the uneasy realm of intuition and gut instinct.
It’s difficult to write about design because the work in this phase is so strongly defined by context and influenced by tacit knowledge. You may be working closely with a graphic designer to create a small web site from the ground up. Or you may be building a controlled vocabulary and site index as part of an enterprise-level redesign that involves more than a hundred people. The design decisions you make and the deliverables you produce will be informed by the total sum of your experience.
In short, we’re talking about the creative process. The information architect paints on a vast, complex, and ever-changing canvas. Often, the best way to teach art is through the time-tested practice of show-and-tell. So, in this chapter, we’ll use work products and deliverables to tell the story about what the information architect does during the design phase.
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Guidelines for Diagramming an Information Architecture
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Information architects are under extreme pressure to clearly represent the product of their work. Whether it’s to help sell the value of information architecture to a potential client or to explain a design to a colleague, information architects rely upon visual representations to communicate what it is they actually do.
And yet information architectures, as we’ve mentioned many times, are abstract, conceptual things. Sites themselves are not finite; often you can’t tell where one ends and the other begins. Subsites and the “invisible web” of databases further muddy the picture of what should and shouldn’t be included in a specific architecture. Digital information itself can be organized and repurposed in an almost infinite number of ways, meaning that an architecture is typically multidimensional—and therefore exceedingly difficult to represent in a two-dimensional space such as a whiteboard or a sheet of paper.
So we’re left with a nasty paradox. We are forced to demonstrate the value and essence of our work in a visual medium, though our work itself isn’t especially visual.
There really is no ideal solution. The field of information architecture is too young for its practitioners to have figured out how best to visually represent information architectures, much less agree upon a standard set of diagrams that work for all audiences in all situations. And it’s unlikely that the messages we wish to communicate will ever lend themselves easily to 8.5×11 sheets of paper.
Still, there are a couple of good guidelines to follow as you document your architecture:
  1. Provide multiple “views” of an information architecture. Digital information systems are too complex to show all at once; a diagram that tries to be all things to all people is destined to fail. Instead, consider using a variety of techniques to display different aspects of the architecture. Like the blind men and the elephant in John Godfrey Saxe’s fable (see the section “Many Good Ways” in Chapter 18), no single view takes in the whole picture, but the combination of multiple diagrams might come close.
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Communicating Visually
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Diagrams are useful for communicating the two basic aspects of an information system’s structural elements (semantic aspects, like controlled vocabularies, don’t easily lend themselves to visual representation). Diagrams define:
Content components
What constitutes a unit of content, and how those components should be grouped and sequenced
Connections between content components
How components are linked to enable navigating between them
That’s really pretty simple, and no matter how complex your diagrams may ultimately become, their main goal will always be to communicate what your site’s content components are and how they’re connected.
To help information architects and other designers create diagrams, a variety of visual vocabularies have emerged to provide a clear set of terms and syntax to visually communicate components and their links. The best-known and most influential visual vocabulary is Jesse James Garrett’s, which has been translated into eight languages. Jesse’s vocabulary anticipates and accommodates many uses, but perhaps the greatest reason for its success is its simplicity; just about anyone can use it to create diagrams, even by hand.
Visual vocabularies are at the heart of the many templates used to develop blueprints and wireframes. Thanks to their developers’ generosity, there are many free templates you can use to create your own deliverables; we’ve provided a table of useful examples below. Each requires one of the common charting programs, like Microsoft’s Visio (for PC compatibles) or Omni Group’s OmniGraffle (for Macintosh computers).
NameCreatorApplicationURL
OmniGraffle Wireframe PaletteMichael AngelesOmniGraffle http://urlgreyhot.com/personal/resources/omnigraffle_wireframe_palette/
Sitemap Stencil and TemplateGarrett DimonVisio http://www.garrettdimon.com/resources/templates-stencils-for-visio-omnigraffle
Wireframe StencilGarrett DimonVisio http://www.garrettdimon.com/resources/templates-stencils-for-visio-omnigraffle
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Blueprints
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Blueprints show the relationships between pages and other content components, and can be used to portray organization, navigation, and labeling systems. They are often referred to as “site maps,” and do in fact have much in common with the other definition of “site map,” a type of supplementary navigation system that we describe in Chapter 7. Both the diagram and the navigation system display the “shape” of the information space in overview, functioning as a condensed map for site developers and users respectively.
High-level blueprints are often created by information architects as part of a top-down information architecture process (and, it’s worth noting, they may also be produced during a project’s strategy phase) Starting with the main page, the information architect might use the process of developing a blueprint to iteratively flesh out more and more of the architecture, adding subsidiary pages, increasing levels of detail, and working out the navigation from the top down. (Blueprints can also support bottom-up design, such as displaying a content model’s content chunks and relationships; we discuss these uses later in the chapter.)
The very act of shaping ideas into the more formal structure of a blueprint forces you to become realistic and practical. If brainstorming takes you to the top of the mountain, blueprinting can bring you back down to the valley of reality. Ideas that seemed brilliant on the whiteboard may not pan out when you attempt to organize them in a practical manner. It’s easy to throw around concepts such as “personalization” and “adaptive information architectures.” It’s not so easy to define on paper exactly how these concepts will be applied to a specific web site.
During the design phase, high-level blueprints are most useful for exploring primary organization schemes and approaches. High-level blueprints map out the organization and labeling of major areas, usually beginning with a bird’s-eye view from the main page of the web site. This exploration may involve several iterations as you further define the information architecture.
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Wireframes
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Blueprints can help an information architect determine where content should go and how it should be navigated within the context of a site, subsite, or collection of content. Wireframes serve a different role: they depict how an individual page or template should look from an architectural perspective. Wireframes stand at the intersection of the site’s information architecture and its visual and information design.
For example, the wireframe forces the architect to consider such issues as where the navigation systems might be located on a page. And now that we see it on an early version of a page, does it seem that there are actually too many ways to navigate? Trying out ideas in the context of a wireframe might force you back to the blueprint’s drawing board, but it’s better to make such changes on paper rather than reengineering the entire site at some point in the future.
Wireframes describe the content and information architecture to be included on the relatively confined two-dimensional spaces known as pages; therefore, wireframes themselves must be constrained in size. These constraints force the information architect to make choices about what components of the architecture should be visible and accessible to users; after all, if the architectural components absorb too much screen real estate, no room will be left for actual content!
Developing wireframes also helps the information architect decide how to group content components, how to order them, and which groups of components have priority. In Figure 12-11, the information architect has determined that “Reasons to Send” is of a higher priority than the “Search Assistant.” This priority is made clear by the content’s prominent positioning and the use of a larger typeface for its heading.
Figure 12-11: A wireframe of the main page of a greeting card site
Wireframes are typically created for the site’s most important pages—such as main pages, major category pages, and the interfaces to search—and other important applications. They are also used to describe templates that are consistently applied to many pages, such as a site’s content pages. And they can be used for any page that is sufficiently vexing or confusing to merit further visualization during the design process. The goal is not to create wireframes for every page in your site, but only for the ones that are complicated, unique, or set a pattern for other pages (i.e., templates).
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Content Mapping and Inventory
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During research and strategy, you are focused on the top-down approach of defining an information structure that will accommodate the mission, vision, audiences, and content of the site. As you move into design and production, you complete the bottom-up process of collecting and analyzing the content. Content mapping is where top-down information architecture meets bottom-up.
The process of detailed content mapping involves breaking down or combining existing content into content chunks that are useful for inclusion in your site. A content chunk isn’t necessarily a sentence or a paragraph or a page. Rather, it is the most finely grained portion of content that merits or requires individual treatment.
The content, often drawn from a variety of sources and in a multitude of formats, must be mapped onto the information architecture so that it will be clear what goes where during the production process. Because of differences between formats, you cannot count on a one-to-one mapping of source page to destination page; one page from a print brochure does not necessarily map onto one page on the Web. For this reason, it is important to separate content from container at both the source and the destination. In addition, when combined with XML or a database-driven approach to content management, the separation of content and container facilitates the reuse of content chunks across multiple pages. For example, contact information for the customer-service department might be presented in context within a variety of pages throughout the web site. If the contact information changes, the modification need only be made to the database record for that content chunk, and it can then be propagated throughout the web site at the push of a button.
Even when you are creating new content for your site, content mapping is still necessary. It often makes sense to create content in a word processing application rather than an HTML editor, since tools like Microsoft Word tend to have more powerful editing, layout, and spell-checking capabilities. In such cases, you’ll need to map the Word documents to HTML pages. The need for careful content mapping is even greater when new content is created by multiple authors throughout your organization; the mapping process then becomes an important managerial tool for tracking content from these disparate sources.
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Content Models
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Content models are “micro” information architectures made up of small chunks of interconnected content. Content models support the critical missing piece in so many sites: contextual navigation that works deep within the site. Why a missing piece? Because it’s easy—maybe too easy—for an organization to accumulate blobs of content, but extremely difficult to link those blobs together in a useful way.
We encounter content models all the time on the Web and in more traditional media. A recipe is a great example. Its objects are a list of ingredients, directions, a title, and so on. If you “greek up” a recipe, it’ll still be recognizable. But change the logic—by putting the steps before the ingredients or leaving out an important object—and the model collapses. Content models rely on consistent sets of objects and logical connections between them to work.

Supporting contextual navigation

Imagine that, by hook or by crook, you found your way deep into a clothing retailer’s web site in your quest for a snazzy new blue oxford shirt. As a user, you’ve just clearly stated an incredibly specific information need. Such a need is far more precise than that of a user who has reached a site’s main page. Wouldn’t it be silly for the retailer not to apply this knowledge to your benefit (not to mention to its advantage)?
That’s why most online retailers will, at this point, introduce you to some matching pants or other accessories. “You might also be interested in....” This is far more reasonable than the retailers hoping and expecting you to 1) guess that they sell these related items, and 2) actually find those items using the site’s top-down organization and navigation systems. Horizontal hopping across the hierarchy is a form of contextual navigation, where your movement is based more on your needs as a user, rather than the site’s structure. And content models exist primarily to support such navigation, whether for cross-selling retail products, connecting baseball fans to the story behind the boxscore, or introducing potential customers to a product’s specs.
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Controlled Vocabularies
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There are two primary types of work products associated with the development of controlled vocabularies. First, you’ll need metadata matrixes that facilitate discussion about the prioritization of vocabularies (see Table 12-1 for an example). Second, you’ll need an application that enables you to manage the vocabulary terms and relationships.
Table : A metadata matrix for 3Com
VocabularyDescriptionExamplesMaintenance
SubjectTerms that describe networkingHome networking; serversDifficult
Product typeTypes of products that 3Com sellsHubs; modemsModerate
Product nameNames of products that 3Com sellsPC Digital WebCamDifficult
Product brandBrands of products that 3Com sellsHomeConnect; SuperStackEasy
TechnologyTypes of technologies associated with productsISDN; Broadband; Frame relayModerate
ProtocolsTypes of standards and protocols associated with productsTCP/IP; EthernetModerate
HardwareTypes of devices that products are used inPDA; Wireless phone; Internet appliances; PCModerate
Geographic location: regionName of geographic regionEurope; APREasy
Geographic location: countryName of countryGermany; Czech RepublicEasy
LanguageName of languageGerman; CzechEasy
Technology applicationsNames of applications for technologiesCall center; e-businessModerate
IndustriesTypes of industries that 3Com works withHealthcare; governmentEasy
AudiencesKinds of audiences the 3Com site attractsConsumers; First-time visitors; mediaEasy
Customer group: workplaceType of workplace that customers work inHome; officeModerate
Customer group: businessSize or scale of business that customers work inSmall business; large enterprise; service providerModerate
RolesType of role that people have in their businessIT manager; consultantModerate
Document typePurpose of content objectForm; instructions; guideEasy
As you can see from Table 12-1, there’s no shortage of possible vocabularies. The information architect’s job is to help define which vocabularies should be developed, considering priorities and time and budget constraints. A metadata matrix can help you to walk clients and colleagues through the difficult decision-making process, weighing the value of each vocabulary to the user experience against the costs of development and administration.
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Design Collaboration
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Once you’ve developed blueprints, wireframes, content models, and vocabularies, you’ll find yourself collaborating more with other people involved in developing the site—visual designers, developers, content authors, or managers. You’ll move from capturing and communicating your own design concepts to integrating them with the visions of other members of your team. Naturally, this is as challenging as design gets—everyone wants his own ideas to play a role in the final product, and because the group’s members often come from interdisciplinary backgrounds, there are often competing vocabularies and breakdowns in communication. But if each person goes in with an open mind and good tools for collaborating, this difficult phase is also the most gratifying one, ending with a shared vision that’s far better than anyone was likely to arrive at individually. Design sketches and web prototypes are just two tools for merging differing ideas.
In the research phase, the design team developed a sense of the desired graphic identity or look and feel. The technical team assessed the information technology infrastructure of the organization and the platform limitations of the intended audiences, and they understood what was possible with respect to features such as dynamic content management and interactivity. And, of course, the architect designed the high-level information structure for the site. Design sketches are a great way to pool the collective knowledge of these three teams in a first attempt at interface design for the top-level pages of the site. This is a wonderful opportunity for interdisciplinary user interface design.
Using the wireframes as a guide, the designer now begins sketching pages of the site on sheets of paper. As the designer sketches each page, questions arise that must be discussed. Here is a sample sketching-session dialog:
Developer: “I like what you’re doing with the layout of the main page, but I’d like to do something more interesting with the navigation system.”
Designer: “Can we implement the navigation system using pull-down menus? Does that make sense architecturally?”
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Putting It All Together: Information Architecture Style Guides
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A web site is always growing and changing. As an information architect, you must help guide its development—even after the site launches—or risk architectural drift. It’s frustrating to see your carefully and flexibly designed organization, navigation, labeling, and indexing systems get mangled as site maintainers add content without heeding the architectural implications. While it may be impossible to completely prevent the effects of entropy, an information architecture style guide can steer content maintainers in the right direction.
An architecture style guide is a document that explains how the site is organized, why it is organized that way, who it’s for, and how the architecture should be extended as the site grows. The guide should begin with documentation of the mission and vision for the site, as it’s important to understand the original goals. Continue with information about the intended audiences. Who was the site designed for? What are their goals? What assumptions were made about their information needs? Then, follow up with a description of the content development policy. What types of content will and won’t be included and why? How often will it be updated? When will it be removed? And who will be responsible for it?
Documenting the lessons learned and the decisions made during the research, strategy, and design phases is critical. These underlying philosophies not only drive the design and maintenance of the information architecture, they also guide your site through the zigs and zags of major changes that your organization will surely encounter in the future.
For example, your organization may merge with another or spin off a unit. It may offer new products, or try to reach new markets and go global in the process. Major changes like these often coincide with major organizational changes such as new senior managers, many of whom wish to leave their mark in all areas, including the site’s design. But do new requirements and major changes to the organization require major changes to the site’s information architecture? Ideally, not; a clearly documented rationale serves to explain an information architecture and demonstrate its flexibility, thereby mitigating against the extremes that plague so many redesigns.
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Chapter 13: Education
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What we’ll cover:
The current state of IA education
The value of relevant educational credentials to IA employment
Universities that offer IA degrees and coursework
We get lots of email from people who want to become information architects. A technical writer in Australia states her desire to make an ambitious career change toward information architecture and asks, “What are my chances, and what advice do you have for me to increase my skill set?” A library and information science student in Florida explains that he’s committed to becoming an information architect but notes that clear directions are hard to find.
We also talk with many practicing information architects who are searching for ways to improve their expertise. Some want a broad introduction that covers all the bases, while others need advanced skills in a specific area of practice. A few are willing and able to pursue a graduate degree, but most are searching for educational formats that better fit their busy schedules.
And last but not least, we regularly meet with people who have no interest in becoming information architects but want to learn more about information architecture. They may be decision makers or managers with broad responsibilities for web and intranet development; their core expertise may be in marketing, software development, interaction design, or a dozen other areas. Information architecture plays a small but important role in their activities.
In short, all of these people are searching for ways to learn about information architecture, and many are having a hard time finding what they need.
It’s not surprising to see all this confusion. In such a new discipline, all the paths are “less traveled.” Schools are not sure what to teach, and students don’t know what they need to learn.
In the established professions of medicine, law, and business, a vast array of educational programs has been tested by the evolutionary pressures of the market. Only those programs that add value have survived. The independent forces of supply and demand have moved toward equilibrium.
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Transition in Education
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It’s not surprising to see all this confusion. In such a new discipline, all the paths are “less traveled.” Schools are not sure what to teach, and students don’t know what they need to learn.
In the established professions of medicine, law, and business, a vast array of educational programs has been tested by the evolutionary pressures of the market. Only those programs that add value have survived. The independent forces of supply and demand have moved toward equilibrium.
In our field, both the employment and education markets are still somewhat immature. The hiring of professional information architects by consulting firms and large corporations is a relatively new phenomenon. It’s still unclear how much information architecture design will be done in the coming years and who will do it. The recent economic turbulence in the IT industry has further muddied the waters—and our field is not alone in this chaos. A powerful assortment of forces is driving change in the broader realms of government, economics, communication, entertainment, and education. As individuals, it’s not easy to make sense of the fast-paced world around us, particularly when it comes to our careers. In such a dynamic and competitive environment, we must take responsibility for our own education, and we must all be lifelong learners.
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A World of Choice
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A wonderful aspect of life in the 21st century is our freedom as consumers to choose what we want. In education, awareness of the rich array of opportunities is a key to success. Never before have there been so many different ways to learn. This is especially true in fields like information architecture that have become early adopters of Internet technologies for communication and collaboration. Resources and methods for learning include:
Experience
There’s no substitute for the time-tested method of learning by doing. Most of today’s information architects learned their craft on the job. Volunteering at a nonprofit organization or building a personal web site can jump-start beginners.
Apprenticeship
The fastest and most reliable way to move from novice to expert is to work closely with someone who’s already an expert. Try to find a mentor who’s willing to share his tacit knowledge.
Formal education
As the field matures, we expect that growing numbers of information architects will seek and find formal education. Ultimately, employers will prefer candidates with a blend of education and experience. We tackle this important topic in the next section.
Conferences and seminars
Whether you’re searching for a quick introduction or an in-depth study, you’ll find all sorts of courses, workshops, and seminars offered by universities, conferences, and consulting firms. If you have to choose just one, we recommend the annual ASIS&T Summit (http://iasummit.org/).
Literature
The volume of books and articles relevant to information architecture is staggering. If you look carefully, you can also find research reports, survey results, and sample deliverables.
Communities
Professional associations and online communities offer great ways to learn about best practices and network with people in the field. Online discussion lists are often a good place to begin.
News and opinion
News feeds and blogs that cover information architecture and experience design can also be invaluable for keeping up with the latest people and ideas.
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But Do I Need a Degree?
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You don’t need a specialized degree to become an information architect, but it helps. As our field matures and becomes more competitive, the emphasis on formal educational credentials grows more pronounced.
At present, only a few schools offer a degree in information architecture, but a much wider collection of universities offers relevant degrees that include coursework in information architecture.
For instance, many information architects have chosen graduate programs in Library and Information Science (LIS) or Human–Computer Interaction (HCI), in which they can knit together a custom curriculum relevant to their future. Some LIS programs have stretched beyond the traditional library, exploring information organization in the online environment, and some HCI programs have escaped the boundaries of the software interface to explore rich content environments and information-seeking behavior.
In fact, you can build a solid foundation for an information architecture career in a variety of programs. It’s important to consider the mix of core courses, the interests of faculty, and the availability of cognate classes. For example, as a student in an LIS program, can you take classes in the university’s business and engineering programs?
As you wind your way through a program, you might consider using our three circles (users, content, and context) to help shape a major and a minor. For example, in an HCI program, you could major in users (understanding how users interact with interfaces) but minor in content (taking some LIS courses in information organization and retrieval). It’s important to have a core area of expertise but also to be well rounded.
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The State of the Field
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We recently surveyed information architecture educators and practitioners to get a clear snapshot of this fast-changing environment. As Table 13-1 shows, we found that roughly half of practitioners have formal education in a relevant field.
Table : Formal education
Do you have any *formal* (e.g., college, university) education in Information Architecture, Human–Computer Interaction, Usability, Library Science or a related field?
Yes48.6%
No48.6%
Not Sure2.8%
Among those with a formal education, roughly 70 percent hold a Master’s degree, and as Table 13-2 shows, library science clearly stands out.
Table : Major field of study
What was your major field of study? (if you responded “Yes” above)
Library Science40.3%
Human–Computer Interaction12.3%
Information Management8.4%
Information Architecture4.5%
Human Factors3.9%
Information Science3.9%
Usability3.2%
Interaction Design2.6%
Technical Communication2.6%
Cognitive Psychology1.3%
Computer Engineering1.3%
Design1.3%
Information Systems1.3%
Multimedia Design1.3%
Software Development1.3%
Communications Design0.6%
Computer-Based Instructional Design0.6%
Computer Science0.6%
Ergonomics0.6%
Industrial Design0.6%
Interactive Multimedia0.6%
Learning Design and Technology0.6%
Library Science and Human Factors0.6%
User-Centered Design0.6%
Visual Communication0.6%
And, among those practitioners with hiring responsibilities, roughly 50 percent responded that when making a hiring decision, they consider formal education in a related field to be either valuable or extremely valuable.
Fortunately, the volume and diversity of programs that offer information architecture coursework is increasing to meet demand. Schools that offer information architecture degrees include:
  • University of Baltimore, Master of Science in Interaction Design and Information Architecture
  • Illinois Institute of Technology, Master of Science in Information Architecture
  • Kent State University, Master of Science in Information Architecture and Knowledge Management
And, schools that offer substantive information architecture coursework include:
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Chapter 14: Ethics
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What we’ll cover:
The politics of categories and classification
Issues of intellectual and physical access to information
The ethical responsibilities of information architects
You’ve almost finished the book. You understand the concepts. You’re familiar with the methods. But before you move onward and upward, consider the following questions:
Are you aware that the practice of information architecture is riddled with powerful moral dilemmas?
Do you realize that decisions about labeling and granularity can save or destroy lives?
Will you be designing ethical information architectures?
If you’ve never considered these questions, don’t worry. It’s not your fault. Blame your parents. Did they ever take the time when you were a small child to clarify that the story of Hansel and Gretel is really a metaphor for the horrors of ineffective breadcrumb navigation? Did they ever explain that Spiderman symbolizes the virtuous hypertextual power of the Web? Without information architect superheroes and archvillains to serve as role models, how you could be expected to recognize your own potential for good or evil?
The truth is that ethics is one of the many hidden dimensions of information architecture. As Geoffrey Bowker and Susan Star state in their book Sorting Things Out (MIT Press):
Good, usable systems disappear almost by definition. The easier they are to use, the harder they are to see.
Large information systems such as the Internet or global databases carry with them a politics of voice and value that is often invisible, embedded in layers of infrastructure.
Through the course of the book, Bowker and Star uncover the serious ethical dimensions of organizing and labeling information.
Now, don’t worry. We’re not about to stand on a soapbox and tell you how to save the world. Instead, we present a framework that illuminates six ethical dimensions faced by information architects, so you can make your own decisions. Once again, we humbly seek to make the invisible visible.
Much information architecture work is focused on helping people find information or complete tasks efficiently and effectively. We hope to reduce senseless friction, thus avoiding wasted time, money, and frustration.
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Ethical Considerations
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The truth is that ethics is one of the many hidden dimensions of information architecture. As Geoffrey Bowker and Susan Star state in their book Sorting Things Out (MIT Press):
Good, usable systems disappear almost by definition. The easier they are to use, the harder they are to see.
Large information systems such as the Internet or global databases carry with them a politics of voice and value that is often invisible, embedded in layers of infrastructure.
Through the course of the book, Bowker and Star uncover the serious ethical dimensions of organizing and labeling information.
Now, don’t worry. We’re not about to stand on a soapbox and tell you how to save the world. Instead, we present a framework that illuminates six ethical dimensions faced by information architects, so you can make your own decisions. Once again, we humbly seek to make the invisible visible.
Much information architecture work is focused on helping people find information or complete tasks efficiently and effectively. We hope to reduce senseless friction, thus avoiding wasted time, money, and frustration.
But we also go beyond connecting users with the information they’re explicitly seeking, by leveraging thesauri and recommendation engines to educate them about additional products, services, or knowledge that they didn’t know existed. This work is no more ethically neutral than designing the first atomic bomb.
Recently, Amazon changed its search engine after an abortion-rights organization complained that results were skewed toward anti-abortion books. Apparently, when users searched on “abortion,” Amazon’s autosuggest presented them with the question “Did you mean adoption?” Amazon explained this was an algorithmic rather than editorial suggestion, but its choice to disable that suggestion was clearly an editorial decision with ethical (as well as political and financial) implications.
A great information architecture can help a medical researcher discover the missing puzzle piece that results in the cure for a disease. A great information architecture can also connect an angry teenager with instructions on how to build a pipe bomb.
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Shaping the Future
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As humans, we collectively avoid a huge percentage of ethical dilemmas by defining them out of existence. We decide that they are beyond our control and are someone else’s responsibility.
As an information architect, you can define any or all of these ethical dimensions as “not my problem.” Maybe the responsibility really belongs with the client, the business manager, the authors, the usability engineers, or the users themselves. Or, maybe we’ll all just wait for a superhero to save the day.
Speaking of which, a handful of user-experience superheroes have written books that tackle these thorny issues head on. For example, B.J. Fogg’s Persuasive Technology: Using Computers to Change What We Think and Do (Morgan Kaufmann) includes a chapter about the ethics of persuasive technology. Jeffrey Zeldman’s Designing with Web Standards (Peachpit Press) details the ethics and economics of designing for accessibility. And, Adam Greenfield’s Everyware: The Dawning Age of Ubiquitous Computing (Peachpit Press) presents ethical guidelines for user experience design in ubiquitous computing environments. We encourage you to read these books and put their ideas into action so you can help shape a better future.
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Chapter 15: Building an Information Architecture Team
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What we’ll cover:
Striking a balance between innies and outies
The implications of pace layering to IA team formation
Staffing IA projects and programs (short-term and long-term considerations)
The case for professional information architects
Since even the title of this chapter may incite quiet fury among our colleagues, we’d like to begin with a few qualifications. First, our focus on staffing an information architecture team in no way suggests a desire to build walls between roles and disciplines. To the contrary, we are firm believers in the value of closely knit, multidisciplinary teams. Second, we fully recognize that our description of an information architecture dream team is provocative and ambitious. The complete vision will be realized only in the largest of projects and organizations.
Our intent is to push the envelope, and to explore scenarios for the small but influential community of professional information architects. How will the world’s most massive sites be designed and managed? Who will do the work? Will it be outsourced or done internally? Will staff be centralized or distributed?
These questions loom large in the minds of many. Should I become an in-house information architect, or is it better to stay in a consulting firm? Innie or outie? Which is safest? Where can we expect the most growth?
Intranet and web managers are asking the same questions. How do I get this information architecture designed? Do I need a permanent staff, or can I get by with a consultant? Either way, who do I hire? What mix of skills is required?
These are hard questions. They drive debates about the role and discipline of information architecture. They force us to imagine the future of our web sites, intranets, and companies. They demand that we make distinctions between the transient and the enduring. They make us feel confused and insecure. In other words, these are exactly the right questions to be asking.
These questions are especially difficult because we’re compelled to fix the airplane while we’re flying it. Even worse, we haven’t yet reached cruising altitude. As we struggle to climb above the clouds and gain greater visibility, it’s important to recognize that we’re in the midst of a powerful transition.
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Destructive Acts of Creation
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What bothers us most about web and intranet redesign projects is the widespread practice of throwing out the baby with the bathwater. The site development process moves from strategy to design to implementation. Then, after a period of maintenance often measured in months, not years, someone decides a redesign is required. Perhaps there’s a new CEO who wants a “fresh look,” or the IT department purchases a content management system. Maybe the User Experience team just gets bored with maintenance.
Whatever the justification, someone commits to a take-no-prisoners redesign that obliterates all elements of the prior site. In the worst cases, an entirely new team is assigned to “do the job right this time,” assuring no organizational learning whatsoever.
We’re optimistic that we can break out of the infinite loop of destructive creation (Figure 15-1), but first we must better understand and disentangle the currently interwoven layers of information architecture, content, and interface.
Figure 15-1: The infinite loop of destructive creation
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Fast and Slow Layers
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In his book The Clock of the Long Now, Stewart Brand introduces the notion that society is a construct of several layers, each with a unique and suitable rate of change (Figure 15-2). The slow layers provide stability; the fast layers drive innovation. The independence of speed between layers is a natural and healthy result of societal evolution. Imagine the alternative. How about commerce moving at the pace of federal bureaucracy? Remember the Soviet Union?
Figure 15-2: Societal layers
This recognition of independently dynamic layers holds great promise within the narrower domain of information architecture. By isolating enduring IA from adaptive IA, we can invest sensibly in long-term infrastructure while creating flexibility where it’s needed. Figure 15-3 is an early attempt to identify these layers.
Figure 15-3: Information architecture layers
The lowest and slowest layers are facets and their hierarchies. These constitute the foundation of the enterprise IA infrastructure.
Next, the embedded navigation system composed of browsable taxonomies, indexes, and the search system defines at a fundamental level how users are able to search and browse. These two bottom layers should be stable. They become intertwined with content, technology, and process, and become the core to users’ mental models. Change at the bottom is painful and expensive. You also don’t want to frequently switch enabling technologies such as content management systems, search engines, and portal software, as they too become enmeshed with content and process.
Moving to the faster layers, controlled vocabulary terms will evolve with product and service offerings and with the broader language of business and technology. Adaptive finding tools such as project-specific guides, indexes, and collaborative filtering devices will benefit from continuous adaptation. And, finally, the site’s content and services may change on a regular basis, along with tweaks to the user interface.
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Project Versus Program
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All of this points toward the importance of evaluating information architecture staffing needs from both project and program perspectives.
First, companies must staff a short but intensive information architecture project to design an enduring foundation. Depending on the scale of your site, the project may require anywhere from 6 weeks to 18 months, and will involve research and the eventual development of an information architecture strategy. You need “big-picture” information architects who can design an overall strategic framework that integrates organization and navigation systems with the software, processes, and staffing responsibilities needed to bring it to life and keep it living. You also need “detail-oriented” information architects who can do the critical work of developing the controlled vocabularies for each facet. And, of course, the work of these individuals needs to be coordinated. In other words, you must staff this project with a well-organized team of professional information architects who bring real expertise and experience to the table. The quality of the work they do on this project will be something your organization lives with for a long time.
Second, you need to build an information architecture program that is focused on administration and continuous improvement. This will mostly require detail-oriented information architects who will be responsible for manual indexing and controlled vocabulary management. You may also want a “cartographer” who converts patterns in content, structure, and usage into useful maps and other navigation tools. And, if you’re staffing at the enterprise level, you may want to hang on to your strategic information architects. (To learn more about information architecture for the enterprise, see Chapter 19.) They can provide the long-term vision and continuity to keep your site on track, and can also serve as consultants to the businesses and functions on subsite projects, promoting consistency throughout the organization.
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Buy or Rent
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The question remains: how does a company strike a balance between consultants and in-house staff? Let’s begin with the outies. There are all sorts of reasons why companies hire consultants in general, and most of these can be applied to information architecture specifically.
Projects
Companies often hire consultants to complete a project with a limited duration. This relates to the project/program distinction we just made. You don’t want to hire a full-time, permanent employee for a six-month project. For this reason, companies should consider using consultants heavily (but not solely) to make that initial investment in an information architecture foundation or a major redesign.
Money and politics
Because of the short-term nature of the investment, it’s often easier to get a budget for consultants than for in-house staff. In addition, there’s a tendency for managers within an organization to respect “objective expert advice” coming from outside the company much more than the “biased opinions” of people within the company. Given the new and insecure position of information architecture practices within many companies, “high-powered consultants” are often needed to establish internal credibility and launch the operation successfully.
Perspective
Although they’re never completely unbiased, consultants really can bring a fresh, outsider’s perspective. This is particularly important when you’re trying to get outside the organizational mindset and understand the needs and behavior of your users. Consultants can also draw upon the “best practices” they’ve seen at other companies, helping you learn from the successes and failures of others.
On the other hand, there are some very good reasons why companies hire employees, and these too apply to information architects.
Programs
For ongoing programs, it’s typically more cost effective to hire full-time, permanent employees. You’ll probably want to hire a staff to manage those fast-moving layers of information architecture (e.g., controlled vocabularies, secondary navigation structures). As web sites and intranets are increasingly recognized as mission-critical, the question will shift from “Do I hire an information architect?” to “How many do I hire, and what types of information architects do I need?”
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Do We Really Need to Hire Professionals?
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We are continually amazed by the scale of business blunders caused by the false assumption that anybody can do this work. In our consulting experience with dozens of Fortune 500 companies, we have seen several situations where literally millions (if not tens of millions) of dollars have been wasted by web and intranet development teams that lack even a single professional information architect.
Inside large companies, the policy of promote-from-within sometimes results in newly anointed “information architects” who may know the business context but lack understanding of users and content. Consulting firms can produce even worse results. Not so long ago, it was fairly common practice for consultants to respond to a client’s request for an information architect by rebranding one of their graphic designers. A quick change on a business card and voilà, you’ve got your information architect!
In all walks of life, we hire professionals when we want some assurance that the work will be done quickly and effectively. We constantly make judgments about when and when not to pay the added price. I cut my finger on a piece of glass, decide stitches probably aren’t necessary, and go the self-help route with Band-Aids and antibiotic cream. But if the bleeding is bad, I’m off to the emergency room for stitches. We make the same judgments when deciding to hire lawyers, accountants, and plumbers.
In some of these cases, our definition of a professional includes education and certification requirements as well as experience. We want a lawyer who has been to law school, passed the bar exam, and spent some time in practice. In other cases—for example, when we need a plumber—we may be satisfied with experience and a good reference.
So, we’re not saying you need a professional information architect in all situations. If you’re developing a small web site or maintaining a large one, an intelligent, detail-oriented person with a professional attitude may be all you need. And we’re not demanding that a “professional information architect” must have a relevant graduate degree.
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The Dream Team
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The projects and programs of today are lucky to have one information architect involved. In the coming years, as sites become increasingly mission-critical and the industry matures, we will see teams of specialists blended to meet the unique challenges of each context.
Given a web site or intranet of sufficient value and complexity, Table 15-1 shows some of the information architecture specialists we’d want as part of our dream team.
Table : Information architecture dream team
Position titleDescription
Strategy Architect Responsible for overseeing design of the overall information architecture and working with other teams to ensure good integration. Familiarity with the business context and an ability to establish relationships with senior management are critical.
Thesaurus Designer Develops classification schemes, controlled vocabularies, and thesauri. Requires education, experience, and a passion for detail.
Controlled Vocabulary Manager Manages evolution of controlled vocabularies, including addition, modification, and deletion of preferred and variant terms. May coordinate a team of indexing specialists.
Indexing Specialist Tags content and services with controlled vocabulary metadata. Requires attention to detail and commitment to quality and consistency.
Interaction Designer Works in the gray area between information architecture and graphic design. Creates navigation schemes and page layouts with a focus on user interaction.
IA Software Analyst The critical link between the IA and IT teams, focusing on ways to leverage software to create, manage, and drive the user experience. Requires familiarity with content management systems, search engines, auto-classification, collaborative filtering, and thesaurus management software.
IA Usability Engineer Focuses on the intersection of usability and information architecture. Conducts studies that isolate IA elements (e.g., category labels). Background in HCI or ethnography.
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Chapter 16: Tools and Software
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What we’ll cover:
The tools most useful to information architects, and how to select the right software
Diagramming products such as Visio and OmniGraffle
Prototyping tools such as Dreamweaver and iRise
Portals and content management systems
Search engines and tools for analytics, automated categorization, and user research
Information professionals have a love/hate relationship with information technology. We love IT because it made our jobs necessary by enabling the creation and connection of tremendous volumes of content, applications, and processes. We hate IT because it constantly threatens to replace the need for us. If you’ve seen the 1957 film Desk Set in which the librarians fear the “electronic brain” threatening to steal their jobs, you understand the enduring nature of this struggle.
Love it or hate it, we are all participants in a co-evolutionary journey with technology that is defined by rapid change. As information architects, we have a real opportunity (if not an ethical obligation) to positively influence outcomes by injecting our understanding and healthy skepticism into the information technology acquisition and integration process.
We are living in the stone age when it comes to software for information architects. The products are crude, as is our understanding of what we really need. When people get together to discuss experiences with enterprise-wide applications to support web sites and intranets, pain and suffering are dominant themes. Many organizations become so distracted and discouraged by their first web application that they fail to explore the products in related categories.
This will change. In the coming years, all large web sites and intranets will leverage software applications from a wide variety of categories. We will not choose between automated classification software and a collaborative filtering engine—we will need both, and more. And information architects will play an integral role—working closely with business managers, content managers, and software engineers to select, acquire, integrate, and leverage this sophisticated suite of applications. None of these people can successfully do this work alone.
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A Time of Change
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We are living in the stone age when it comes to software for information architects. The products are crude, as is our understanding of what we really need. When people get together to discuss experiences with enterprise-wide applications to support web sites and intranets, pain and suffering are dominant themes. Many organizations become so distracted and discouraged by their first web application that they fail to explore the products in related categories.
This will change. In the coming years, all large web sites and intranets will leverage software applications from a wide variety of categories. We will not choose between automated classification software and a collaborative filtering engine—we will need both, and more. And information architects will play an integral role—working closely with business managers, content managers, and software engineers to select, acquire, integrate, and leverage this sophisticated suite of applications. None of these people can successfully do this work alone.
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Categories in Chaos
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It’s ironic that one of the toughest challenges in understanding software for information architects involves trying to define meaningful categories for the darned stuff. There are huge overlaps between products, exaggerated by overzealous marketing efforts that claim the software can create taxonomies, manage content, fix dinner, and tie your shoes. And, of course, the vendors and their products are multiplying, merging, and mutating at a terrific pace. Given this fluid, ambiguous context, this chapter is an early attempt to define a few of the product categories relevant to information architects. They include:
  • Automated Categorization (16.2%)
  • Search Engines (56.4%)
  • Thesaurus Management Tools (19.7%)
  • Portal or Enterprise Knowledge Platform (37.6%)
  • Content Management Systems (65.8%)
  • Web Analytics / Tracking (62.4%)
  • Diagramming Software (79.5%)
  • Prototyping Tools (70.9%)
  • User Research and Testing (not included in survey)
Within each category, we list the most popular tools (according to our survey results), and in some cases we list additional tools worth mentioning. Our lists of product examples are by no means comprehensive. We hope only to provide a framework and a starting point.
Automated Categorization
Software that uses human-defined rules or pattern-matching algorithms to automatically assign controlled vocabulary metadata to documents. This is equivalent to assigning documents to categories within a taxonomy.
Synonyms
Automated classification, automated indexing, automated tagging, clustering
Examples
Comments
We see great potential to integrate human expertise in designing taxonomies with software that populates those taxonomies quickly, consistently, and inexpensively. However, note that this software:
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Questions to Ask
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Whatever the category, when you’re involved in selecting complex, expensive software, there are a number of important questions to ask.
You’ll need to determine whether it’s best to build it yourself, buy a product, or contract with an ASP (application service provider). You’ll want to know about the total cost of ownership, from purchase to integration to customization to maintenance to upgrade. You’ll want to know about the long-term outlook for the vendor; in other words, will she be there to answer the phone in six months?
Most importantly, you need to find an engineer in the vendor’s firm who will answer these questions. One of the many truisms from the world of Dilbert is that engineers are like Vulcans; they cannot tell a lie. They will happily contradict their company’s marketing hype—usually without even the slightest provocation—and tell you:
  • What their product does well
  • What their product does poorly
  • What they wish their product could do
So, even though engineers are the ones who are actually working hard to automate us out of a job, we should still like them because they’re helpful and honest. And they will only need us more in the coming years—to make productive use of the fascinating new tools they are building.
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Chapter 17: Making the Case for Information Architecture
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What we’ll cover:
The unavoidability of selling
The ROI case for information architecture
The fallacy of ROI thinking when it comes to information architecture
Other ways to make the case for information architecture
The value of information architecture: a checklist
Wherever information architecture is happening or could be happening, someone is trying to decide whether or not the pursuit is worth the investment of resources. And that person often needs a lot of convincing. You, as an information architect, must be prepared to make a case for what you do.
Perhaps you’ve never found yourself trying to sell information architecture to a client; that’s what the sales folks do, or if you’re an in-house information architect, your boss worries about this. Your job is to just show up and generate those blueprints and wireframes. If this describes your attitude, skip this section. (But don’t be surprised if you suddenly find yourself unemployed.)
When it comes to others’ perceptions of information architecture, be prepared to change negative thinking into positive. Most people still haven’t heard the term “information architecture,” many don’t think it’s real or worth their attention, and many simply don’t understand the value of anything so “fuzzy,” especially when compared to concrete things like, say, the intensively marketed software tools that promise to solve their problems.
Some people do recognize the value of information architecture but don’t know how to convince their colleagues. And others implicitly recognize its value in theory, but simply don’t yet have the practical experience to tell the people in charge just how valuable it is compared with the many other ways they can spend their money.
You need to be ready for all of these situations—not just getting the point across initially, but being able to “sell” what you do on the ground. Because the worst can and often does happen after the sale. In fact, in a May 2002 survey of the information architecture community, we found that the most challenging aspect of promoting information architecture was not getting the opportunity to promote it until it was too late in the design and development process. We’ve sold many large information architecture consulting engagements only to find that as soon as we sent our consultants off, some unanticipated and terrible event happened that jeopardized the entire project. For example, one person who hired us for a Fortune 50 company retired the day before we showed up for work. Worse, despite his assurances to us, he never had the political power within the organization to pave the way for our work. And even worse, he hadn’t prepared his successor in any way; the successor didn’t have a clear vision of the value of information architecture and obviously couldn’t advocate for it to his colleagues. So our own consultants had to sell their expertise on his behalf. This made it difficult for them to actually get any work done, but they were ready to sell themselves, and it made a big difference. If our people couldn’t have made a case for information architecture, the whole project would have been torpedoed.
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You Must Sell
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Perhaps you’ve never found yourself trying to sell information architecture to a client; that’s what the sales folks do, or if you’re an in-house information architect, your boss worries about this. Your job is to just show up and generate those blueprints and wireframes. If this describes your attitude, skip this section. (But don’t be surprised if you suddenly find yourself unemployed.)
When it comes to others’ perceptions of information architecture, be prepared to change negative thinking into positive. Most people still haven’t heard the term “information architecture,” many don’t think it’s real or worth their attention, and many simply don’t understand the value of anything so “fuzzy,” especially when compared to concrete things like, say, the intensively marketed software tools that promise to solve their problems.
Some people do recognize the value of information architecture but don’t know how to convince their colleagues. And others implicitly recognize its value in theory, but simply don’t yet have the practical experience to tell the people in charge just how valuable it is compared with the many other ways they can spend their money.
You need to be ready for all of these situations—not just getting the point across initially, but being able to “sell” what you do on the ground. Because the worst can and often does happen after the sale. In fact, in a May 2002 survey of the information architecture community, we found that the most challenging aspect of promoting information architecture was not getting the opportunity to promote it until it was too late in the design and development process. We’ve sold many large information architecture consulting engagements only to find that as soon as we sent our consultants off, some unanticipated and terrible event happened that jeopardized the entire project. For example, one person who hired us for a Fortune 50 company retired the day before we showed up for work. Worse, despite his assurances to us, he never had the political power within the organization to pave the way for our work. And even worse, he hadn’t prepared his successor in any way; the successor didn’t have a clear vision of the value of information architecture and obviously couldn’t advocate for it to his colleagues. So our own consultants had to sell their expertise on his behalf. This made it difficult for them to actually get any work done, but they were ready to sell themselves, and it made a big difference. If our people couldn’t have made a case for information architecture, the whole project would have been torpedoed.
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The Two Kinds of People in the World
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Now that we’ve covered the need to sell it, just what is involved in making the case for information architecture? That depends on the person to whom you’re making the case. To grossly overgeneralize, we’ve found that business people typically fall into two groups: “by the numbers” folks, and “gut reactionaries.”
The “by the numbers” people require data to help them make their decisions. They need to see figures: “If we invest X dollars into this information architecture thing, we’ll make or save 2X dollars.” They rationally consider return on investment (ROI) as the basis for their business decisions. Makes sense, right? Well, as we’ll see, it doesn’t. But you still need to understand this mindset because you’ll encounter it again and again.
“Gut reactionaries” do what feels right. They trust their instincts and often have plenty of good experience to draw on. They consider the intangibles when they make decisions. And they’re often suspicious of numbers and how well they depict the “real world.” The success of the case you make to gut reactionaries often depends on luck as much as anything else; the intangibles are as dubious as they are fuzzy. So, just in case, you’d better dust off that suit before sitting down with a gut reactionary.
Ultimately, when you’re making the case for information architecture, you don’t know which of these narrow and extremely unfair stereotypes will describe your client. So be prepared to discuss both the numbers and the intangibles.
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Running the Numbers
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OK, so here’s the big question: what is information architecture actually worth?
The best source of numbers is white papers created by such analyst firms as Forrester Research and The Gartner Group. These numbers often don’t focus on the ROI for information architecture per se, but they do address similar or overlapping areas of practice (e.g., user experience) or a hot technology (e.g., portals) that may involve a specific architectural approach.
For intranets, most utilize an opportunity cost approach to assessing ROI, drawing on a technique that was popularized in the web design community by Jakob Nielsen. Table 17-1 shows the basic calculation.
Table : ROI case for investing in the Sun intranet’s information architecture
FactorCost
Time lost due to a design-related problem (determined through user testing) 10 seconds/occurrence
Time lost over course of a year per employee (10 seconds/occurrence ×3 occurrences/day×200 days/year) 6000 seconds (1.67 hours)/year
Cost per employee (e.g., $50/hour/employee, including benefits)$83.33/employee
Number of employees that experience this problem5,000
Total cost due to this design-related problem$416,667/year
For example, if the design problem at hand is a confusing labeling system, and you feel confident that investing $150,000 will make it go away, then you can claim an ROI of 178 percent ($416,667–$150,000 / $150,000). Not bad, especially if you consider that this particular design problem may be just one of many that can be addressed.
Here are some more examples of this opportunity cost approach:
  • Bay Networks invested $3 million into organizing 23,000 documents for its 7,000 users. Among other benefits, Bay estimated that each member of the sales staff would save a minimum of two minutes a day searching for documents, or roughly $10 million a year. That’s a 233% return on investment.
  • In its November 2001 report “Intranets and Corporate Portals: User Study,” Agency.com surveyed 543 employees from different companies regarding their use of portals. Respondents reported that portal use saves on average 2.8 hours per week, or 7 percent of their time. Assuming $55,000/year per employee (fully loaded), a well-designed portal would save employers $3,908 per employee. A 5,000-person company would therefore save about $20,000,000/year.
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Talking to the Reactionaries
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The “gut reactionaries” aren’t necessarily interested in numbers and often go with what feels right or is in line with their experience. This approach is excellent if the reactionary has direct experience with information architecture or related issues. Then you can simply draw on that frame of reference as you discuss future plans.
But what if the reactionary has no relevant experience to draw from? In such cases, we’ve found that telling firsthand “stories” is often the best way to engage and educate this type of person. Stories put him in the shoes of a peer who faces a comparable situation, feel that peer’s pain, and help him see how information architecture helped in that situation. Case studies also end on a useful note of redemption, but don’t sufficiently personalize the story by connecting the person you’re telling it to with his peer within the story.
An effective story should provide the listener with both a role and a situation to identify with. The role and the scenario should set up a painful, problematic situation so that the listener feels that pain and can see how investing in information architecture can help make it go away.
Following is an example of a true story that we’ve found useful in communicating both a problem scenario and a set of information architecture-based solutions. It goes like this:
A client who came to us was a mid-level manager of a huge technical-support operation for a Fortune 50 company. This person was responsible for the documentation used by thousands of operators manning the phones and answering customers’ questions 24/7. The answers to these questions had originally been published in huge three-ring-bound manuals that were expensive to produce, unwieldy to use, could not be searched, and were exceedingly difficult to update and maintain.
When the Web grew in popularity, the company decided to convert all of this printed documentation into HTML pages and house it on an intranet. And that’s exactly what it did: thousands of pages were converted, with no thought given to how the content would be browsed and searched in the context of a web site, how the content templates should be designed, or how maintenance would be handled. It was as if the printed manuals were dropped into an HTML meat grinder. The output was so bad that it caused some major problems.
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Other Case-Making Techniques
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Storytelling is just one way to make the case for information architecture. There are other approaches, and which one you select depends on many different factors, including whether or not you’re involved in a marketing effort, a sales call, or an interaction with colleagues during a project. (Most of these techniques are discussed at greater length elsewhere in this book.)
User sensitivity “boot camp” sessions
The premise here is simple: get decision makers who aren’t too web-savvy in front of a web browser. Ask them to try to accomplish three or four basic and common tasks using their own web site (or, if none is available, a competitor’s). Just as you would in a standard task-analysis exercise, have them “think” aloud, and jot down the problems they encounter on a white board. Then review those problems, identifying which are caused by a poor information architecture versus other aspects of design. You’ll be surprised at how many of the problems are indeed information architecture problems, and the decision makers will be enlightened by, as information architect Steve Toub says, “eating their own dog food.”
Expert site evaluations
Information architecture evaluations of a site can be done quickly and easily. You can probably identify 5 or 10 major information architecture problems within the first 10 minutes of exploring a site. Whether you deliver this evaluation in writing or in the context of a sales call, it can make a huge impression. Not only will you appear knowledgeable about your potential client’s site, but you’ll probably be exposing problems that they didn’t know they had, or that they were aware of but didn’t know how to articulate. Evaluations by outsiders, especially experts, are taken very seriously within organizations, because outside opinions often mean much more to internal decision makers than the opinions of their staff. If you’re an in-house information architect and have room in your budget, bring in an outside expert when you need to hammer home the value of information architecture to colleagues.
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The Information Architecture Value Checklist
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Whatever technique you use to make the case for information architecture, and whether you’re making a quantitative or qualitative case, there is a checklist of points that might be relevant to your case or story. Some of these points pertain more to intranets, while others are more relevant to external sites. We suggest that you first consider your situation (the type of site you’re working on, whether you’re a consultant or in-house information architect, etc.) and where you are in the process of case-making (pre-sales, sales, or while the project is underway). Then, as you prepare to make your case, review this checklist to make sure you’re not missing an important point:
  • Reduces the cost of finding information
  • Reduces the cost of finding wrong information
  • Reduces the cost of not finding information at all
  • Provides a competitive advantage
  • Increases product awareness
  • Increases sales
  • Makes using a site a more enjoyable experience
  • Improves brand loyalty
  • Reduces reliance upon documentation
  • Reduces maintenance costs
  • Reduces training costs
  • Reduces staff turnover
  • Reduces organizational upheaval
  • Reduces organizational politicking
  • Improves knowledge sharing
  • Reduces duplication of effort
  • Solidifies business strategy
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A Final Note
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Whichever points and approaches you use to make your case for information architecture, keep in mind how difficult this challenge is. After all, you’re promoting something that’s abstract, intangible, and new, and each situation demands a unique solution. This is generally a lot harder than selling a mass-produced tool that everyone uses in the same way, like a spreadsheet application, or something that can be grasped visually, like a graphic design firm’s portfolio.
On the other hand, the information stored in most web sites and intranets is growing at a ridiculous rate. And the content already on those sites may be good today, but will be spoiled tomorrow if there’s no good plan for maintenance. Problems associated with the information explosion are only going to get worse. In the long run, your efforts to market and promote information architecture should get easier as more and more people experience information pain. Hold firm: time is on your side.
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Chapter 18: Business Strategy
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In strategy, surprise becomes more feasible the closer it occurs to the tactical realm.
—Carl von Clausewitz, On War, 1832
What we’ll cover:
Competing definitions of business strategy
Strategic fit: a case study at Vanguard
The relationship between IA and business strategy
How IA can contribute to competitive advantage
What is business strategy doing in a book about information architecture? Do they have anything in common? After all, we didn’t have any business strategy courses in our library and information science programs, and it’s safe to say there are very few information architecture courses in the MBA curriculum.
In truth, these two fields have existed independently and in relative ignorance of each other heretofore. This historical isolation is about to change. As the Internet permeates our society, managers and executives are slowly recognizing the mission-critical nature of their web sites and intranets, and this awareness is inevitably followed by a realization that information architecture is a key ingredient for success. Once they’ve seen the light, there’s no going back. Managers will no longer leave information architects to play alone in the sandbox. They’ll jump in and start playing, too, whether we like it or not. The good news is they’ll bring some toys of their own to share, and if we look at this as an opportunity rather than a threat, we’ll learn a lot about the relationship between strategy and architecture along the way.
In practice, information architecture and business strategy should have a symbiotic relationship. It’s obvious that the structure of a web site should align with the goals and strategy of the business. So, business strategy (often called “business rules”) drives information architecture. What’s less obvious is that the communication should go both ways. The process of information architecture design exposes gaps and inconsistencies in business strategy. Smart organizations make use of the feedback loop shown in Figure 18-1.
Figure 18-1:
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The Origins of Strategy
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Dictionary.com defines strategy as “the science and art of using all the forces of a nation to execute approved plans as effectively as possible during peace or war.” As this definition suggests, strategy has a military history. In fact, its etymology leads us back to ancient Greece, where we find the term “strat-egos” (“the army’s leader”). Early works such as Sun Tzu’s Art of War and Carl von Clausewitz’s On War are still often quoted in the business world.
This explains why the language of business strategy is filled with military terminology—positioning the marketplace as a battlefield, competitors as enemies, and strategy as a plan that must be well executed to assure victory. It also helps to explain why the field of business strategy has been largely dominated by men who project power and confidence and who convincingly build a case that their plan or model or philosophy is the “one best way.” This is a world where indecisiveness is taken as a sign of weakness.
And yet, notice the use of the term “art” in both the dictionary definition and the title of Sun Tzu’s famous text. This is an acknowledgment that business strategy is not pure science. It involves a certain degree of creativity and risk taking, much like our nascent field of information architecture.
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Defining Business Strategy
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Over the past few decades, Michael Porter, a Harvard Business School professor and successful entrepreneur, has played an influential role in leading and shaping the field of business strategy and our understanding of competitive advantage.
In his brilliant book On Competition (Harvard Business School Press), Porter defines strategy by contrasting it with operational effectiveness:
Operational effectiveness means performing similar activities better than rivals perform them. Operational effectiveness includes but is not limited to efficiency.
He notes that operational effectiveness is necessary but not sufficient for business success. He then answers the question, what is strategy?
Strategy is the creation of a unique and valuable position, involving a different set of activities.
He goes on to explain that “the essence of strategy is in the activities—choosing to perform activities differently or to perform different activities than rivals.” It is this strategic fit among activities that provides a sustainable competitive advantage, which is ultimately reflected in long-term profitability.
So how do we align our information architecture activities with business strategy? Well, we need to begin by finding out what strategies our business is pursuing. This can be nearly impossible in large organizations.
As consultants to Fortune 500 firms, we’ve rarely had much access to the senior executives who (we assume) could articulate their company’s business strategy. And the people we’ve worked with often haven’t had a clear idea about the overall strategic direction of their organization and how their web site or intranet fits into that bigger picture. They’ve often been left in the dark.
While we wait for the senior executives and corporate strategists to become more involved in their sites, there are things we can do. Stakeholder interviews provide an opportunity to talk with senior managers. While they may not be able to rattle off a concise explanation of their company’s strategy, these managers can be helpful if you ask the right questions. For example:
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Strategic Fit
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Let’s draw an example from Porter’s On Competition to learn how to connect the dots between business strategy and information architecture. Porter uses “activity-system maps” as a tool for examining and strengthening strategic fit. Figure 18-2 shows an activity-system map for Vanguard, a leader in the mutual fund industry.
Figure 18-2: An activity-system map for Vanguard
As Porter explains, Vanguard is widely respected for providing services to the conservative, long-term investor, and the company’s brand is very different from that of competitors such as Fidelity and T. Rowe Price.
Vanguard strives for a strategic fit between all its activities, from limiting the costs of advertising and business travel to fostering shareholder education and online information access. Low costs and informed investors go hand in hand.
This strategy is no accident. As founder John C. Bogle explains, early in its history, Vanguard established “a mutual structure without precedent in the industry—a structure in which the funds would be operated solely in the best interests of their shareholders.” Noting that “strategy follows structure,” he suggests that it was logical to pursue “a high level of economy and efficiency; operating at bare-bones levels of cost, and negotiating contracts with external advisers and distributors at arms-length. For the less we spend, the higher the returns—dollar for dollar—for our shareholder/owners.”
What’s exciting is that this strategy is evident in the design of Vanguard’s web site, the main page of which is shown in Figure 18-3. First of all, notice the clean page with minimal branding. There are no fat logos or banner ads; usability is obviously a high priority. Second, notice the lack of technical vocabulary for which the financial industry is renowned. Vanguard makes an explicit point of using “plain talk.”
Figure 18-3: Main page of the Vanguard web site
And as you explore, you see an emphasis on education, planning, and advice woven throughout the site. Tools like a site glossary, a site map, and a site tour help customers to navigate and educate themselves at the same time.
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Exposing Gaps in Business Strategy
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Information architectures should solve problems and answer questions. Consequently, information architects must find problems and ask questions. In our quest to understand how context, users, and content all fit together, we often expose serious inconsistencies and gaps within business strategy, particularly in how it relates to the web environment.
In many cases, the problems are fixable. A company known for excellent customer service has neglected to integrate customer support into its web site. Or a widely respected online bookstore risks violating its customers’ trust by secretly featuring search results for publishers who pay a fee. In a healthy organization, the architect can raise these issues and get them resolved.
In other cases, the problems are symptoms of an organization in real trouble. Consider the following examples, with names omitted to protect the guilty.
  • A Global 500 company has recently been through a large merger. The U.S. division has a formal, centrally managed, top-down corporate intranet. The European division has several decentralized, informal, bottom-up departmental intranets. Stakeholders on opposite sides of the Atlantic have very different goals and ideas for their intranets. The plan? Design a single integrated intranet to foster the sense of a single, unified company. The reality? Two disparate cultures clashing on a global scale. The tail of information architecture can’t wag this dog.
  • A Fortune 100 company decides to enter the e-commerce gold rush by throwing $40 million into development of a consumer health portal. After discovering dozens of domestic competitors, they decide to target several European countries, all at once. One tiny problem. They know almost nothing about the health-related information needs or information-seeking behaviors of the people in those countries. And they never get to find out. Eventually the plug is pulled on this out-of-control e-business.
When we find ourselves in situations that feel crazy, it’s human nature to pretend things will work out. We assume the executives really do know what they’re doing and that the master plan will become clear soon. But painful experience suggests otherwise. If it looks crazy, it probably is crazy. Trust your gut. Remember, the executives who develop strategy are human, too. It is not uncommon to find situations where the people involved are aware of major gaps and flaws in the plan, but they’re too afraid or unmotivated to point them out. As the information architect, you may be well positioned to be the one who cries out, “the emperor has no clothes,” and then proceeds to work with the managers, strategists, and stakeholders to put together a more sensible plan.
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One Best Way
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Figure 18-4 illustrates SWOT, the best-known model for strategy formulation. SWOT stands for the analysis of internal Strengths and Weaknesses of the organization informed by the Opportunities and Threats posed by the external environment.
Figure 18-4: The SWOT model of strategy formulation
SWOT has been a favorite model of business schools, textbooks, management consulting firms, and senior executives. SWOT analysis can be performed in a classroom or an executive’s office with a small group of people in a short amount of time. These “strategists” or “thinkers” can objectively assess internal capabilities and the external environment, and then deliberately and consciously craft a strategic plan to be implemented by the “doers” of the organization. This model is highly adaptive and can be applied to virtually any type of organization at any time. In many contexts, SWOT has been presented as the “one best way” to formulate a business strategy.
You may have guessed that we don’t agree. And if you’re wondering what all of this has to do with information architecture, stick with us. We’re getting there.
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Many Good Ways
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In their fascinating book Strategy Safari (Free Press), Henry Mintzberg, Bruce Ahlstrand, and Joseph Lampel approach the subject of business strategy in a manner we as information architects would do well to emulate. The book begins with the fable of “The Blind Men and the Elephant,” (Figure 18-5), which they note is often referred to but seldom known. We decided to follow their lead.
Figure 18-5: The Blind Men and the Elephant
The authors of Strategy Safari proclaim, “We are the blind people and strategy formation is our elephant. Since no one has had the vision to see the entire beast, everyone has grabbed hold of some part or other and ‘railed on in utter ignorance’ about the rest.” Swap “strategy formation” with “information architecture,” and you’ve just described many of the heated debates at our conferences and on our discussion lists.
Strategy Safari extends the philosophy of “many good ways” by describing 10 schools of thought within the business strategy field:
The schoolStrategy formation as
The Design School A process of conception
The Planning School A formal process
The Positioning School An analytical process
The Entrepreneurial School A visionary process
The Cognitive School A mental process
The Learning School An emergent process
The Power School A process of negotiation
The Cultural School A collective process
The Environmental School A reactive process
The Configuration School A process of transformation
The authors describe an evolution over the past 50 years from the top-down, highly centralized design and planning schools toward the bottom-up, entrepreneurial learning and cultural schools. In today’s information economy, there’s greater recognition that thinking can’t be isolated to the CEO and an elite team of corporate strategists. Knowledge workers must play a role in strategy formation. The doers must also be thinkers, and the plan must be informed by the practice. This evolution is driven by advances in information technology, increased maturity in business management theory, a better-educated workforce, and changing social dynamics.
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Understanding Our Elephant
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The information architecture community has much to learn from this expansive, honest, multifaceted approach to strategy. We are a young field, and we often resemble the illustration that accompanies “The Blind Men and the Elephant” (Figure 18-6). We have yet to develop our schools of thought. And our elephant is a complex, dynamic, and elusive beast. Building toward a collective understanding of information architecture is exasperatingly difficult.
Figure 18-6: The Blind Men and the Elephant (image from http://www.jainworld.com/literature/story25i1.gif)
As we continue to formulate our ideas and methods, we should be wary of those who expound a “one best way.” We should embrace many definitions, many methods, and many facets. We should also be on the lookout for early indicators of trends that suggest new directions and new schools of thought for information architecture. It would be naïve to think our practice has matured in less than a decade.
This is not to say that we haven’t made great progress already. The practice of information architecture has come a long way since the early 1990s. We began with highly centralized, top-down approaches, attempting to leverage careful planning into stable solutions. We did some good work but learned the hard way that change is a constant and surprises should be expected. More recently, we’ve been exploring bottom-up approaches that tap the distributed intelligence within our organizations to nurture emergent, adaptive solutions. The following table compares classic or “top-down” IA to modern or “bottom-up” IA:
Classic IAModern IA
PrescriptiveDescriptive
Top-DownBottom-Up
PlannedEmergent
StableAdaptive
CentralizedDistributed
As we struggle with these ideas, an interesting question arises: do we create information architectures or reveal them?
In Information Ecology, Thomas Davenport and Laurence Prusak have this to say on the topic:
From an ecological perspective, identifying what information is available today and where it can be found is a much better use of architectural design than attempting to model the future. Information mapping is a guide to the present information environment. It may describe not only the location of information, but also who is responsible for it, what it is used for, who is entitled to it, and how accessible it is.
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Competitive Advantage
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The fact that we can’t see the whole picture doesn’t mean we shouldn’t forge ahead. The disciplines of business strategy and information architecture are dauntingly abstract and complex. But we can’t fall victim to analysis paralysis. In the world of business, both disciplines are useless if they don’t contribute to the development of sustainable competitive advantage.
On this vital subject, business strategy can teach us one more lesson. In short, the invisible nature of our work can contribute to our competitive advantage. Geoffrey Moore reveals this hidden opportunity with respect to business strategy. In Living on the Fault Line, Moore presents a competitive-advantage hierarchy to show the multi-layered foundation upon which strategy is built (Figure 18-7).
Figure 18-7: A competitive-advantage hierarchy
Moore explains that while most people focus on the top layer of differentiated offerings (e.g., branding and positioning), businesses can achieve lasting competitive advantage only by building from the bottom up.
At the base lies the technology itself, the core of cores. On top of it form value chains to translate its potential into actuality. Atop this evolution lie specific markets . . . Within all markets, companies compete against each other based on their ability to execute their strategy . . . The ultimate expression of this competition, the surface stratum that is visible for all to see, is an array of differentiated offerings that compete directly for customers and consumers on the basis of price, availability, product features, and services . . . In technology-enabled markets, corporations, like tall buildings, must sink their foundations down through all the strata to secure solid footing in competitive advantage.
While the media pundits and water-cooler jockeys rant and rave about branding and positioning, the strategic decisions with long-term implications are happening beneath the surface, invisible to the outside world and to many corporate “insiders.” The invisible nature of this strategy work confers greater gains to leaders and thwarts copycat competitors.
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The End of the Beginning
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As information architects, we can also use invisibility to our advantage. There is no question that our discipline suffers from the iceberg problem, as illustrated in Figure 18-8. Most of our clients and colleagues focus on the interface, without appreciating the underlying structure and semantics.
Figure 18-8: The information architecture iceberg
Savvy designers know to look beneath the water line, understanding the importance of blueprints and wireframes to site development. But few people, even within the web design community, realize the critical role the lower layers play in building a successful user experience. This ignorance of deep information architecture results in short, superficial, and often doomed projects.
Those who recognize the need to build structures from the bottom up have an immediate advantage over those who skim along the surface. And because this structural design is hidden from the outside world, these early adopters get a big head start. Once competitors see what the Episcopalians call “the outward and visible signs of inward and spiritual grace,” it’s often too late. By the time Borders Books & Music realized the power of Amazon’s user experience, they were already years behind.
But invisibility doesn’t automatically confer sustainable advantage. In today’s fast and fluid economy, easily duplicated best practices spread like wildfire. This is why companies can no longer look to technology for their salvation. By lowering the barrier to entry and fostering open standards, the Internet has created a more level playing field.
Michael Porter says it best in a Harvard Business Review article:
As all companies come to embrace Internet technology, the Internet itself will be neutralized as a source of advantage. Basic Internet applications will become table stakes—companies will not be able to survive without them, but they will not gain any advantage from them.
Today’s cutting-edge technology is tomorrow’s commodity. If it
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Chapter 19: Information Architecture for the Enterprise
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What the goal of EIA is (it’s not centralization)
Practical EIA design techniques for top-down and bottom-up navigation, search, and emergent or “guerrilla” approaches
How in-house EIA competency can and often does grow, both strategically and operationally
What EIA work needs to get done, and what kinds of people should do it
How to pay for and position an in-house EIA group
What EIA services should be provided
How to grow an EIA group over time
What’s enterprise information architecture (EIA)? Quite simply, the practice of information in the enterprise setting.
Sorry, that definition was accurate but not too helpful. Let’s back up and make sure we understand what an enterprise is. Most would say that it’s a large, physically distributed organization—usually a corporation or a government agency, but we’d also count substantial academic institutions and nonprofits. Enterprises suffer from problems big and complicated enough to merit serious, expensive solutions. (Hence, software marketers have found that prepending the term “enterprise-class” to their products’ names is a reasonably reliable path to a condo in Aspen.)
But “large” and “physically distributed” aren’t what really defines an enterprise. In fact, the most telling attribute is a place where “one hand doesn’t know what the other one’s doing.” Or, one hand ignores or doesn’t care what the other’s doing. Or that first hand absolutely despises the second hand, and will do anything to undermine it. Interestingly, these attributes can be found in just about any organization, regardless of size or physical distribution. So while you might not work at ExxonMobil, Thomson, or the UN, it’s likely that you’re dealing with enterprise-class IA challenges.
Enterprises have been characterized by a constant tug-of-war between forces of centralization and autonomy. A new management regime comes in, finds wasteful duplication of effort and expense, and discovers a lack of coordination and collaboration among business units. The new managers try to reign things in by centralizing as much as they possibly can. Typically this process fails to have its intended impact and even creates some unintended negative consequences, such as choking off local innovation. Then a new regime enters the picture, sees a new set of problems, and in its hurry to leave its mark, swings the pendulum hard the other way: “let a thousand flowers bloom.” Staff in far-flung units are empowered to take things into their own hands but may do so in a wasteful, duplicative, uncoordinated manner. And we’re back where we started.
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Information Architecture, Meet the Enterprise
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What’s enterprise information architecture (EIA)? Quite simply, the practice of information in the enterprise setting.
Sorry, that definition was accurate but not too helpful. Let’s back up and make sure we understand what an enterprise is. Most would say that it’s a large, physically distributed organization—usually a corporation or a government agency, but we’d also count substantial academic institutions and nonprofits. Enterprises suffer from problems big and complicated enough to merit serious, expensive solutions. (Hence, software marketers have found that prepending the term “enterprise-class” to their products’ names is a reasonably reliable path to a condo in Aspen.)
But “large” and “physically distributed” aren’t what really defines an enterprise. In fact, the most telling attribute is a place where “one hand doesn’t know what the other one’s doing.” Or, one hand ignores or doesn’t care what the other’s doing. Or that first hand absolutely despises the second hand, and will do anything to undermine it. Interestingly, these attributes can be found in just about any organization, regardless of size or physical distribution. So while you might not work at ExxonMobil, Thomson, or the UN, it’s likely that you’re dealing with enterprise-class IA challenges.
Enterprises have been characterized by a constant tug-of-war between forces of centralization and autonomy. A new management regime comes in, finds wasteful duplication of effort and expense, and discovers a lack of coordination and collaboration among business units. The new managers try to reign things in by centralizing as much as they possibly can. Typically this process fails to have its intended impact and even creates some unintended negative consequences, such as choking off local innovation. Then a new regime enters the picture, sees a new set of problems, and in its hurry to leave its mark, swings the pendulum hard the other way: “let a thousand flowers bloom.” Staff in far-flung units are empowered to take things into their own hands but may do so in a wasteful, duplicative, uncoordinated manner. And we’re back where we started.
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What’s the Goal of EIA?
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We haven’t yet encountered an enterprise site that didn’t suffer from problems associated with decentralization. Put another way, it’s the rare site that is too centralized. Now that the Web’s novelty has started to wear off, and web sites are recognized as a foundational component of doing business in the 21st century, many early sources of resistance to centralization are wearing down. Business units are beginning to understand the benefits of shared resources and coherent user experience, for their sites’ users as much as for their own bottom lines.
But it’s still not clear to everyone why some measure of centralization is worth pursuing. So the following list of benefits of centralization might come in handy:
Increased revenues
Especially in e-commerce situations, customers don’t want to be exposed to the enterprise’s org chart as they try to navigate the site. They want to make a purchase and go on with their lives. A centralized information architecture will help users focus on their needs, not your organization’s politics and structure.
Reduced costs
Centralization helps the enterprise save money in so many ways. One is that you can avoid purchasing multiple and redundant licenses for such technologies as search engines, and can instead collectively negotiate for a single enterprise-wide license. Another is that pooling resources may allow the enterprise to afford the development of customized tools (or customization of shrink-wrapped tools) and specialized staff. Yet another is that duplication of effort, such as having two research teams working on the same project, can be eliminated. And, of course, reducing the time needed to find information can really add up when that time is paid for by the enterprise.
Clearer communication
Whether they’re employees who access the intranet or investors wondering about new acquisitions, all users can expect a consistent and accurate message on behalf of the enterprise if centralization is in place.
Shared expertise
Centralization implies that there is some means for cooperating and reaching decisions as a group. Besides indicating an organization with a healthy attitude toward communicating and sharing knowledge in a general sense, it also means that the organization is collectively learning about information architecture and other areas that will help “glue” together content from its disparate silos. Which, of course, can only be a good thing.
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Designing an Enterprise Information Architecture
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As with any other flavor of information architecture, there’s no “right way” to design an enterprise information architecture. However, over time certain IA design approaches, when pursued in the appropriate sequence, have emerged as making the most sense in the enterprise setting. In this section, we’ve broken the wide range of possible IA design components into four categories, and for each we provide a few nuggets of practical advice on what to do and what not to do. We could fill up an entire book on enterprise IA design, but we hope you’ll find this tip of the iceberg to be useful.
Thanks to improved search engines and the advent of RSS syndication, users are finding more ways to bypass top-down navigation. But top-down navigation isn’t going away any time soon, and top-down elements provide ample opportunities for you to improve EIA.

Bypass the main page

You read it right. Many large IA projects get completely derailed by this one page among the millions that comprise your site. Granted, there are an increasing number of other ways to reach your site’s content, such as via a web-wide search engine, an RSS feed, and your advertisements. Still, you know that the main page is the single most important page on your site; the problem is that everyone else in your organization knows that, too. The result: design meetings where senior vice presidents joust over dozens of main-page pixels.
Of course, you could try to shepherd such a meeting to a productive end—a place where the main-page design is conceived with the needs of the enterprise as a whole and the users it serves, rather than the setting where interdepartmental strife plays out. But that might take years, and you’ve got other fish to fry. So we advise you to be prepared to step away from your normal urge to care about the main page. Consider it an unfortunate chunk of real estate that could be so nice if only the warring gangs would cease and desist. You’ll have a chance to rehabilitate it later; for now, move on...

Repurpose your sitemap

...to other pieces of real estate that might be quite useful if only anyone bothered to pay attention to them. For example, your sitemap (aka table of contents, as discussed in Chapter 7) may already be linked to throughout your site. That makes it a property with considerable value. And yet, it’s often something of an orphan; it may not be clear whose responsibility it is, and few people bother to use it. Can you blame them? Most sitemaps simply mirror the site’s main organization system, and in many enterprise sites, that’s the org chart. Not very useful.
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EIA Strategy and Operations
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We’ve described EIA design work that focuses on small steps and quick wins that don’t necessarily require a huge outlay of resources, time, or staff. Because so many of these improvements can be made “under the radar,” they often can take hold without requiring management sign-off up and down the chain of command.
Of course, there are far more ambitious designs that you can tackle within each of the four areas we covered above. But whether the focus is on short- or long-term goals, someone has to be responsible for design, implementation, maintenance, and governance of an enterprise information architecture. And management will ultimately have to be involved in setting policies, finding funding, and settling the political disputes that will inevitably arise.
Unfortunately, most enterprises have not dedicated staff to this work, or if they have, those staff are buried inside other business units that distract them from their primary goals. And management, despite its talking the talk of “information is our most strategic commodity” doesn’t yet walk the walk. How does ownership of an enterprise information architecture evolve?
The following table charts a common path for both operational and strategic aspects of EIA. Strategic work focuses on the growth, positioning, funding, and governance of EIA resources and staff, while the operational side addresses who actually does the work of developing and maintaining an EIA. This table shows how both tracks can evolve side by side over time, often in concert, in a “typical” enterprise environment.
Operational EIAStrategic EIA
Individuals recognize that EIA issues existA handful of people “in the trenches” responsible for some aspect of their business units’ respective information architectures independently become aware that there are IA challenges that affect the entire enterprise. They may see the need for their own work (e.g., managing a search engine, developing product metadata or a style guide) to be coordinated or shared with others, but have little or no contact with like-minded peers within the enterprise. Nor do they have incentive to coordinate efforts.
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Doing the Work and Paying the Bills
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The evolutionary path described earlier ends with the seemingly optimistic outcome of a separate EIA business unit, independent of the baggage of IT, Marketing, Corporate Communication, or other parent groups. Why are we fans of the go-it-alone approach?
Efforts to knit together an enterprise’s information architecture naturally require extensive cross-departmental communication and involvement. And business units typically don’t trust other business units to do the right thing. An effort to centralize an enterprise-wide architecture will be tough enough without including the baggage of that effort’s foster parent, Department X. And if Department X’s mission in life is operating the corporate WAN or maintaining the corporate brand, its managers won’t typically understand—much less fully support—EIA efforts; they’re not likely to fit any existing department’s core mission and goals. So why force it?
Additionally, because efforts to centralize are long-term and ongoing, and information architecture and content management have become a permanent part of the scene, a support infrastructure for these efforts is a necessity. Enterprises simply can’t afford to “re-do” their information architectures every year or two; the direct costs are high, and no organizational learning is retained. For these reasons, EIA is ideally owned and operated by an independent infrastructural unit with its own budget and managers.
Interestingly, when the second edition of this book (published in 2002) suggested standalone EIA groups, the idea wasn’t popular; it seemed too optimistic given both the lack of acceptance of IA in many enterprises and the economic conditions of the time. Yet today this model is becoming widespread, because many organizations find it impossible to make progress with EIA unless it’s the responsibility of an (at least somewhat) autonomous and baggage-free business unit. There really are few viable alternatives.
The idea of a standalone business unit begs the question: how will it be funded? New cost centers do get established from time to time—at some point, IT, HR, and other groups found the funding they needed to address the needs of the entire enterprise. But, admittedly, such events are infrequently witnessed in the enterprise landscape. So where will the money come from?
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Timing Is Everything: A Phased Rollout
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EIA efforts are often tripped up by efforts to work with everyone and to do so all at once. Obviously, this is a recipe for disaster, but what’s the alternative? It’s pretty simple, really: choose your battles wisely, and take your time. Here’s our advice.
You don’t want to work with all clients. Some are simply too stuck in “cowboy” mode, playing the rugged individualist to your information architecture communalist. Some are too busy to work with you. Some are too cautious when it comes to new things. Some would like to work with you but don’t have the resources, or perhaps they don’t have particularly valuable content. Some, frankly, just don’t get this information architecture stuff, regardless of your best educational efforts. And don’t forget: some will actually have a much more sophisticated understanding of information architecture than you do.
In such a mixed environment—with both ends of the evolutionary spectrum coexisting on the same floor of the corporation—you must accept the reality that you’ll be working with only the few clients with whom success is immediately likely, and waiting for the others to catch up over time.
Some clients shouldn’t be using your information architecture at all; they may be better suited to managing the information that lives within their department. You need to figure out how to pull out that information and integrate it with other information. For example, HR data is probably never going to be something you have control over, but it is exposed through various interfaces (web, database, etc.). You can work with HR to extract the information you need and integrate it with your architecture, but you’ll have to build a bridge to HR to keep this functioning. Your task is to integrate all these scenarios into an overall strategy, and accommodate the different needs and requirements in your information architecture.
So who are the “right” clients? Once again, use the three-circle Venn diagram of information architecture to guide you. The right clients exhibit the following characteristics:
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A Framework for Moving Forward
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In this chapter, we’ve mapped out a loose and ambitious framework that, even if you don’t agree with our specific recommendations, will provide you with ideas to mull over and react to as you develop your own approach. By breaking up overwhelming problems into digestible pieces, we hope that this framework will ensure that information architecture becomes a permanent fixture within enterprises that need it. By taking a phased approach, we believe this framework can stand the test of time. And by staying true to an entrepreneurial approach, this framework might defuse the urge to “force” autonomous business units to comply with centralizing efforts.
Ideally, this framework will be flexible enough to roll with the inevitable punches of corporate mergers, spin-offs, and reorganizations. We hope that it helps you and your organization avoid the waste and frustration of developing elegant information architectures on paper that can never be implemented in the unruly distributed information environments that have proliferated within the modern enterprise.
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Chapter 20: MSWeb: An Enterprise Intranet
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How three types of “taxonomies”—an indexing vocabulary, schema, and category labels—were successfully utilized to describe high-value content
The technical architecture that was developed to maintain these taxonomies
How a modular approach and an emphasis on service helped the MSWeb team succeed in revamping the MSWeb intranet
What is the Holy Grail for information architects? It’s the secret that will help them develop and maintain a user-centered information architecture for a large, distributed enterprise—the kind made up of all sorts of autonomous, bickering business units that have their own goals, their own sites, their own infrastructures, their own users, and their own ideas of how to go about things (see Chapter 19 for more on enterprise information architecture).
It’s nearly impossible to develop a successful information architecture against a backdrop of explosive content growth, content ROT, and the political twists and turns common in any organization. And, we’re sorry to say, no one can claim to own the Grail. But we’ve had the privilege of getting up close to a large number of corporate intranets. And one of the best approaches we’ve seen so far is the one taken by Microsoft’s intranet portal (MSWeb) team.
Before you protest, we admit that yes, we understand that you probably don’t have the same resources at your disposal as Microsoft’s team did. But we think everyone can learn from Microsoft’s efforts; what it’s doing today is what most intranets will be doing in three to five years, for two reasons. First, MSWeb’s approach is flexible enough to be customized for many large organizations. And second, knowing Microsoft, it’s a reasonable bet that the good ideas described here will soon enough find their way into Microsoft’s product offerings and into your IT department. So perhaps you’ll own a piece of this approach in the not-too-distant future. Let’s preview it here so you’ll be ready.
Like Microsoft itself, MSWeb is insanely huge and distributed. Let’s use some numbers to paint a picture of the situation. MSWeb contains:
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Challenges for the User
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Like Microsoft itself, MSWeb is insanely huge and distributed. Let’s use some numbers to paint a picture of the situation. MSWeb contains:
  • 3,100,000+ pages
  • Content created by and for over 50,000 employees who work in 74 countries
  • 8,000+ separate intranet sites
With apologies to Herbert Hoover, Microsoft has put a web server in practically every employee’s pot. Employees, in turn, have responded by embracing the technology (as you’d expect from one of the world’s largest technology companies), and by churning out an impossibly huge volume of content.
But if you’re a typical Microsoft employee, these numbers also represent a bit of a problem. Microsoft estimates that a typical employee spends 2.31 hours per day engaging with information, and 50 percent of that time is used looking for that information. Although you already know how ambivalent we are about using such calculations to estimate actual costs to the organization, we think these numbers show that at least some valuable employee time is being wasted flailing about in this huge environment in search of information.
Here are just a few examples of how this chaotic environment hurts Microsoft employees.
Where to begin?
This is your typical case of “silo hell.” With as many as 8,000 possibilities available, employees have a hard time determining where they should begin looking for the information they need. While some starting points are obvious—check the human resources site for information on your medical insurance or 401K plan—other areas, such as technical information, are scattered throughout Microsoft’s intranet environment.
Inconsistent navigation systems
Navigation systems are quite inconsistent because they employ many different labeling schemes. Therefore, users are confused each time they encounter a new one. Not only does this inhibit navigation, it also muddles the user’s sense of place.
Same concept, different labels
Because different labels are used for the same concepts, users miss out on important information when they don’t search or browse for all the possible labels for those concepts. For example, users may search for “Windows 2000” without realizing that they also need to hunt for “Microsoft Windows 2000,” “Windows 2000,” “Win 2000,” “Win2000,” “Win2k,” “Win 2k,” and “w2k.”
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Challenges for the Information Architect
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The flip side of this problem is how these numbers affect the people who are responsible for making Microsoft’s content or aggregating that content into portals. Let’s make another comparison to the broader Web. Building and maintaining the Yahoo! portal was a huge undertaking, spanning years and a gigantic collection of content—the Web as a whole. MSWeb is a portal, too, and though 8,000 sites is a much more manageable number than what Yahoo! faced, consider the varying motives and concerns of those who own and maintain those independent sites. And Microsoft can’t charge or compel site owners within the company to register. Instead, the MSWeb team has to create incentives for participation in its model. But the owners of the intranet’s various sites are too distracted by other concerns (such as serving their own constituencies) to consider how their site fits into the bigger picture of Microsoft’s intranet.
When a site is brought into the MSWeb fold, it comes with its own information architecture. Its organization, labeling systems, and other tricky information architecture components must be integrated into the broader MSWeb architecture or be replaced altogether. For example, as many as 50 different variants of product vocabularies had been created in the Microsoft intranet environment. Fixing such problems is a messy and complicated challenge for any information architect.
And it gets even worse: all of those Microsoft intranet sites are backed up by a technical architecture of some sort. Some are designed, built, and maintained by in-house technical staff and are quite advanced and elaborate. At the other extreme are sites maintained by hand or by a simple tool like MS FrontPage. The technology architectures that support the Microsoft intranet environment vary widely in complexity, and the MSWeb team must determine ways to normalize and simplify the environment to make content management easier and more efficient. Additionally, many of these technology architectures are not designed to support a portal or any other sort of enterprise-wide information architecture, so that’s another crucial factor the MSWeb team must account for.
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We Like Taxonomies, Whatever They Are
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Well, many heads were throbbing at Microsoft. And an odd and often misunderstood term—“taxonomies”—began to be heard in corridors at Redmond. Although they share a common x, “taxonomies” and “sexy” are two words that aren’t often seen together in public. So when “taxonomies” become a part of everyday conversation, it’s a sure sign that an organization is ready for a deeper look into information architecture.
So Microsoft’s MSWeb team heard the word and knew that the time had come for a more ambitious approach to improving MSWeb. The team—fewer than 10 people, but populated by an impressive mix of information scientists, designers, technologists, and politically savvy managers—began to consider what users meant when they called for better (or any) taxonomies. Instead of the traditional biology-inspired definition, Microsoft’s employees thought of taxonomies as constructs that would help them search, browse, and manage intranet content more effectively.
In response, the MSWeb team developed a more generalized operating definition of taxonomies that would be more in line with how other employees were using the term. This flexibility—the willingness to speak the language of clients, rather than rigidly clinging to a “correct” but ultimately unpopular meaning—was key. It set the tone for successful communications between the MSWeb team and its clients throughout the organization.
The team defined taxonomies as any set of terms that shared some organizing principle. For example, descriptive vocabularies were seen as controlled vocabularies that described a specific domain (e.g., geography, or products and technologies) and included variant terms for the same concept. Metadata schema were collections of labeled attributes for a document, not unlike a catalog record. Category labels were sets of terms to be used for the options of navigation systems. These three areas comprised the foundation of the MSWeb approach. Better searching, browsing, and managing of information would be achieved by designing taxonomies that could be shared throughout the enterprise.
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Benefits to Users
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As Microsoft’s intranet environment matured in the mid-90s, it began to suffer from the same afflictions as most enterprise intranets: too many clicks required to get to desired information, difficult site-wide navigation, and the best documents buried deep within search results. And, as mentioned earlier, users and their champions began to ask for taxonomies to make these problems go away.
The MSWeb team’s response is a work in progress. What we’ve described represents only a brief moment in the lifespan of a large company and its information systems. The team is taking an evolutionary approach, avoiding unrealistic goals of fixing all problems for everyone in a few years. In this way, there are no false expectations. But even in a short time span, many concrete benefits have been realized, and taxonomies are at the forefront of these improvements. With category label taxonomy, for example, the labels are more representative and consistent, improving navigation within MSWeb and between Microsoft intranet sites.
Searching is also greatly improved. By encouraging resource record creation with UCS, MSWeb is able to identify valuable content in the intranet environment and therefore can do a better job of crawling remote intranet content. Better crawling leads to more comprehensive indexing. Users are now querying indexes that represent a much larger body of content and a higher-quality collection of content. More importantly, users’ queries are more powerful than before—they are able to take advantage of MSWeb’s descriptive vocabularies to reduce the ambiguity of individual search terms. Consider a search on “asp,” a very ambiguous term. During a search, the descriptive vocabularies stored in the MDR are automatically invoked to expand the search by including the different meanings (“Active Server Pages” and “application service providers”). These terms are also displayed as executable searches on the search results page to narrow or refine the search.
The MSWeb team has also helped pioneer a positive and increasingly common trend: “Best Bets.” These are search results that are the product of manual efforts (they are also discussed in Chapter 8). Often displayed before other, automatically generated results, Best Bets link a user to documents that a cataloger has determined to be highly relevant to the user’s initial search query. Best Bets are designed to address the “sweet spot” in searching, which consists of the few unique search queries that constitute the majority of all searches executed. Why not add value to the small number of frequently executed searches by adding Best Bets to their results?
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What’s Next
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The initial success of MSWeb’s approach is exciting, but it’s just the first step over the course of many years and phases to come. To some degree, the team expects continued growth in what’s currently in place: more resource records, more robust taxonomies, and more sites coming on board and utilizing an increasing array of SAS services and MSWeb consulting. But the MSWeb team also hopes to try out some interesting new plans in the not-too-distant future.
One exciting possibility is an increased role for other business units in the creation of an even more mature infrastructure to support enterprise-wide information architecture and content management. MSWeb isn’t looking to own this endeavor but to move into a leadership role, with other units playing the role of partners. In this scenario, Microsoft will save money because its business units will engage in increased sharing of taxonomies and related tools and efforts. Additionally, a greater degree of awareness among content managers might result in more willingness to go along with future centralizing initiatives, such as requiring the registration of resources in order for them to be indexed for searching. This trade-off might make for a little more work on the part of content owners, but it will result in improved searching for users, as well as much more efficient content management practices, by establishing who’s responsible for what content, when it should be updated, and so on.
Even more exciting is the possibility of creating something of a Microsoft “semantic web” along the lines of what Tim Berners-Lee, creator of the Web, and others have proposed. Much like the content models covered in Chapter 12, a semantic web allows connections to be made automatically between related content objects. Some of the tools described in this chapter could be extended to support such automatic associations; for example, the taxonomies developed by different Microsoft business units could be “cross-walked,” meaning that relationships between similar terms or “nodes” in the taxonomies could be established. These relationships could go a long way toward improving search across Microsoft’s intranets because content with different tags and similar content would be retrieved together. VocabMan and the SAS console already have built-in support for related tags, which will enable future cross-walking of taxonomies.
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MSWeb’s Achievement
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Nothing that the MSWeb team did—whether considering the initial problem, coming up with an approach, and developing the tools and expertise to make it happen—can be described as revolutionary. Rather, these were rational steps taken to address complicated problems. So why discuss its work here?
Well, if you have ever worked in a large organization—or even many smaller ones—you know that what’s rational isn’t often what happens. The rational, the obvious, and the good often never make it off the drawing board, thanks to corporate strategies that change with the wind, extreme fluctuations in budgets, and, worst of all, the dreaded reorganization. And Microsoft isn’t immune to such problems; one MSWeb team member went through seven different managers and had three title changes in just five months.
The MSWeb team has developed some neat taxonomies and tools. But we’re recognizing the team for its most impressive achievement: successfully implementing a rational plan in a large, corporate environment. The team members understood that only a holistic approach—one that accommodated content, users, and context—could make a difference. They also knew that enterprise-wide solutions require sufficient time—years, not months—to take hold.
If you’re taking on a similar challenge, we suggest you follow Vivian Bliss’s advice:
. . . Improving information systems affects people, process and technologies. To not recognize that will spell doom. In other words, technology alone is not the answer. Just as merely tweaking the UI is not the answer, nor is building a taxonomy that is not flexible or able to be leveraged in publishing and finding. Another key is to have a multi-disciplinary team. Just one discipline does not have the answer.
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Chapter 21: evolt.org: An Online Community
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How incentives can serve to drive an economy of participation among content creators and consumers
The building of online communities has been going on since the Web began. Some have succeeded, but most have failed spectacularly. Yet again and again, the allure of thousands of paying customers happily discussing the benefits of a company’s latest widget makes even the most hardboiled and pragmatic businesspeople throw caution to the wind. Fanning the flames of the online community fire were all sorts of new and intensely marketed community-enabling technologies, such as chat applications, that promised that “if you build it—with our technology, of course—they will come.”
Clearly, online communities require more than cool tools to succeed. Technologies enable people with shared interests to converse and exchange ideas, but it’s up to those people to contribute interesting and relevant information, stay on topic, be patient with one another, and police themselves when things get out of hand. Every community is unique in who it allows to join, how it welcomes and initiates new members, what types of events and milestones it promotes, and what types of behaviors it honors. So it’s not grandiose to claim that each successful online community truly has its own culture.
Cultures and communities don’t just happen; they require careful nurturing. On the other hand, they wither when overmanaged. A well-designed information architecture can help balance these two extremes, flexibly encouraging freedom of expression and action while organizing and structuring content for better findability. And where other architectures have to fit within a context, an online community architecture creates that context—it is often the only place where its members meet. In effect, online-community information architecture is the ultimate exercise in designing for context. This case study describes evolt.org, a real live online community that is grappling with, and succeeding at, providing and nurturing the context for its members.
What is evolt.org? That’s simple—it’s explained at the bottom of each page in the site:
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evolt.org in a Nutshell
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What is evolt.org? That’s simple—it’s explained at the bottom of each page in the site:
evolt.org is a world community for web developers, promoting the mutual free exchange of ideas, skills and experiences.
What “evolt” means: “evolt” combines the best elements of evolution, revolution, with a bit of voltage thrown in for good measure. “evolt” embodies our goals and enthusiasm!
The evolt.org site provides an interesting case study in online-community information architecture—its membership has grown quickly in its short life, and yet the site has hung together despite its distributed membership, rapid growth, competition, reliance on volunteers, noncommercial approach, and other factors that can potentially cause trouble. We learned some interesting lessons from evolt.org and its members, who have taken a novel and completely nontraditional approach to information architecture.
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Architecting an Online Community
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Online communities aren’t built upon compulsory participation; to succeed, they must attract members who are already busy doing other things. And sometimes online communities compete with other communities that are doing much the same thing.
evolt.org, for example, is focused on web development. As you might guess, there are many other communities that share the same focus. So the evolt.org folks must be doing something right—in five years’ time, they’ve built four active mailing lists, the largest of which (“thelist”) has over 3,000 members. And the evolt.org web site has over 24,000 registered users. These growing numbers are impressive, even more so when you consider evolt.org’s budget, which is minute. Volunteers contribute their time and passion, and they’ve cobbled together a few servers to make this work.
Obviously, passion and today’s incredibly cheap and powerful information technologies are a potent combination. But they aren’t enough to guarantee success; an environment must be created to tie them together. Someone has to play God, setting up the rules and infrastructure that create an environment that becomes self-sustaining, and where people join in and participate. And that’s where information architecture comes in. Information architecture provides much of the structure that ties together the people, passion, content, and technology in one cohesive place.
So how exactly does information architecture figure into evolt.org?
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The Participation Economy
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The major challenge faced by every online community is how to get people to participate. Participation requires a balance of give (creating content) and take (consuming content). It’s difficult to ensure reciprocity between givers and takers; it’s often human nature to lurk and learn, while creating good information takes time and hard work. If everyone consumes and no one produces, online communities fail. Those responsible for online communities therefore have a harder job than Ben Bernanke (the head of the U.S. Federal Reserve Board). Beyond tweaking economic performance, they have an even larger job: to create the economy from scratch. And since they can’t force people to participate, a healthy online-community economy must therefore err in the direction of free-market principles—enabling, not overmanaging—the creation of content in a way that keeps up with its consumption.
Information architecture comes into play here in two ways. First, it provides a critical set of rules and guidelines that make up part of the economy’s infrastructure, much in the same way that the international banking system structures transactions in the global economy. So information architecture is a key part of “setting up” an economy.
Second, information architecture can be used to tweak levels of “transactions” in the participation economy, much like the Federal Reserve Board’s adjustments to interest rates can invigorate or cool down economic activity. Information architecture greases the participation economy by supporting different levels of content creation that fit with human nature, and by “monetizing” that participation so that members better understand what their content creation—and consumption—is worth.
Some sites put up a huge wall that must be scaled in order for users to participate. For example, they may require all sorts of personal information from participants before they’re “allowed in.” This speakeasy model may work in unique situations, but it generally fails in today’s competitive environment of plentiful community venues and sources of content. A better approach is to accommodate the different levels of participation sought by many sorts of people, ranging from the quiet lurkers to the hyperactive gadflies.
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How Information Architecture Fits In
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In this discussion of evolt.org, we haven’t covered much in terms of the basic nuts and bolts of information architecture; we haven’t shown a single blueprint or wireframe, or discussed how users might search and browse the site.
In fact, evolt.org’s information architecture is extremely simple, and perhaps not all that interesting if examined in a vacuum. However, it is extremely interesting to see how the site’s information architecture enables the community to create and share content—this, after all, is the ultimate challenge in online-community sites. The architecture’s minimalism is what makes it superlative.
The information architecture simply doesn’t get in the way of people who wish to create content, but it does actively support getting that content in all sorts of volumes, sizes, and degrees of structure. It displays content captured elsewhere—ratings, comments, biographical information, and so on—in new settings, such as member directory entries, and in new forms, such as cubes. It provides an open canvas for experimentation that leads to innovation.
Therefore, evolt.org’s information architecture has a lot to do with many of the characteristics of a successful online community. It shows how and why one might participate, provides valuable original content, helps promote a sense of ownership among its members, makes sure that contributors are recognized, and taps and repays members’ philanthropy and sense of altruism.
Of course, this isn’t to say that evolt.org’s information architecture couldn’t be improved. Like any information architecture organically developed by a geographically disparate community, evolt.org’s silos could be better integrated from the bottom up. And certain areas of the site haven’t yet found an “economic model” to ensure their survival.
evolt.org’s information architecture features some major silos:
  • Discussion lists and their respective archives
  • Tips and their archive
  • Articles
  • The member directory
  • The web development resource directory
  • The browser archive
  • The developmental area (m.e.o.)
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The “Un-Information Architecture”
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Despite these concerns, evolt.org and its information architecture are impressive and successful. We should celebrate its very existence and also congratulate its founders on developing a flexible model that is likely to survive through the next generation of administrators.
Yet the process by which evolt.org took shape is anathema to “traditional” information architecture; there was minimal planning, formal process, or methodology. The whole approach has a “throw it against the wall and see what sticks” flavor to it.
And you know what? That’s OK.
When a site operates on the goodwill of volunteers who create its infrastructure and populate it with content, it’s hard to get them to follow a plan. Nothing about evolt.org—including its information architecture—can be forced. Accommodation, flexibility, and the willingness to experiment (and to live with those experiments!) are what drive the information architecture, not the other way around.
So, like the site itself, the architecture is a work in progress. Someone comes up with a good idea and floats it, others encourage him to try it, and suddenly there’s a new section of the site. Integration with the rest of the site comes afterward, if at all. This constant morphing is the case with more than just the actual site architecture; it applies to the people involved—the volunteers and decision-makers—and the policies as well.
Transitional architectures can succeed only if the community is true to its goal of broad participation. In an environment where ideal methods such as contextual inquiry and content analysis are too expensive to be practical, volunteers must be counted on to take an active role in coming up with ideas that contribute to a better information architecture in their own way. Members ultimately design the information architecture for one another. Like the participatory economy, participatory information architecture will ultimately be the reason why sites like evolt.org survive and prosper.
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Appendix 1: Essential Resources
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When the first edition of this book was published, we couldn’t have included this appendix; there were few (if any) books, sites, and communities dedicated to information architecture. Now there are far too many to include them all.
And by the time this book finds its way into your hands, some of these resources will have been superseded by better competitors, some will have gone the way of all flesh, and some will have morphed into entirely different resources. URLs will change, too, but enough excuses. This is a reasonable snapshot of what we feel are today’s most essential information architecture resources.
Another caveat: we said that these are what we feel are essential. This is a subjective selection, by no means comprehensive in coverage. For each topic, we’ve listed the few items that we think are the best or most appropriate. That means we’ve had to leave out some great stuff, and to those responsible for those resources, please accept our apologies in advance. When we could, we took into account others’ views of what’s essential, but what you’ll find here is the information architecture resources we would take to that proverbial desert island. Your mileage will, of course, vary.

Communities

Directories

Books and Journals

Formal Education

Conferences and Events

Examples, Deliverables, and Tools

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Communities
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Typically, people are the best source of information, especially on a fairly new topic. And the best places to find people who know about a topic are the communities that are organized around that topic.
Since this book was last published, new opportunities have been created for IAs to meet and discuss information architecture as a community. The first organization dedicated solely to information architecture—the Information Architecture Institute (http://iainstitute.org, originally the Asilomar Institute for Information Architecture)—was started and now has more than 1,000 members. In a few short years, this organization has gathered members from over sixty countries. Additionally, grassroots efforts such as local information architecture “cocktail hours” have been a popular way of meeting fellow information architects. Meetings typically involve a guest speaker or discussion facilitator and a cocktail or two. Track local meetings from the IAwiki (http://www.iawiki.net/cgi-bin/wiki.pl?search=CategoryEvent), or consider starting a local group yourself.
Speaking of volunteerism and community building, it’s important to note that no field can transform itself into a community without the “sweat equity” of its practitioners. Information architecture is still a young field. While more resources exist now, there is still much room for growth. In other words, if you feel that the information architecture community should provide its members with more—whether that means conferences, a job board, a library, or more local events—then you should make it happen. Happily, the Information Architecture Institute may be able to provide much of the resources and infrastructure you’ll need to make it happen.
The information architecture community meets most frequently on discussion lists, specifically the IAI members list and SIGIA–L. These two lists are probably the most important resources for information architects. They will help you learn who your peers are, what they’re working on, and what challenges they face. In this section we also list information on some highly relevant professional associations and SIGs that you might consider joining.
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Directories
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When something is “comprehensive,” that typically means it covers everything on a particular domain. However, in the case of directories on the Web, comprehensive is a relative term; there are no absolutes. No single site covers every resource related to information architecture. And if one tried, no business model could support its ongoing maintenance.
So, while there are a few directories of information architecture resources, none will provide you with everything. Instead, it’s a good idea to regularly visit multiple directories to find information about the field.
In the fall of 2001, Eric Scheid established the IAwiki as a “collaborative discussion space for the topic of Information Architecture.” Think of the IAwiki as a wonderful shared collection of hyperlinked, annotated bookmarks that anyone can add to, modify, or delete, regardless of who that person is. (You can learn more about wikis from the original wiki—http://c2.com/cgi/wiki?FrontPage.) Of course, this is good and bad. The IAwiki is self-propagating, packed with useful resources, and updated daily. But it’s difficult to design and maintain a shared information architecture, so it’s not always a snap to find what you’re looking for in the IAwiki. The IAwiki’s “Recent Changes” page, which lists what’s new on the site, is the best place to start.

The Information Architecture Library

The Information Architecture Library on the IA Institute’s web site (http://iainstitute.org/library/) contains a growing list of resources for IAs. The library is organized by subject, resource type, author, and languages, and it is actively seeking to expand its non-English resources.

InfoDesign

Peter Bogaards deserves acclaim for his regular, consistent, and expert filtering of an incredibly huge amount of material (http://www.informationdesign.org/). This site covers information design, usability, visual design, and information visualization as well as information architecture. Also available via email.

IxDA’s Resource Library

IxDA has begun developing a categorized resource library on all aspects of interaction design (
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Books and Journals
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There are a growing number of online journals, and even a few print magazines, that cover information architecture and user experience. A few of the ones we enjoy are:
A List Apart (http://alistapart.com)
An online magazine covering web design development as well as information architecture and user experience topics.
BASIS&T, the Bulletin of the American Society for Information Science and Technology (http://www.asis.org/bulletin.html)
ASIS&T’s bimonthly bulletin; it includes a regular column on information architecture.
Boxes and Arrows (http://www.boxesandarrows.com)
The field’s “peer-written journal dedicated to discussing, improving and promoting the work of this community, through the sharing of exemplary technique, innovation and informed opinion.”
Digital Web (http://www.digital-web.com)
An online magazine covering a broad range of web development, design and information architecture topics.
GUUUI (http://www.guuui.com)
Billed as “The Interaction Designer’s Coffee Break,” this journal offers well-written articles on a range of interaction design topics.
Interactions (http://www.acm.org/interactions)
A publication of ACM, the Association for Computing Machinery. It has covered human–computer interaction topics since 1994. The magazine is a print publication, but its contents are also available online to subscribers.
OK/Cancel (http://www.ok-cancel.com)
OK/Cancel publishes less frequently, but it deserves a visit for introducing us to the World’s First HCI Rap, “We Got It,” and for its frequently updated usability and user interface-related comics.
User Experience (http://www.upassoc.org/upa_publications/user_experience)
This print publication is published by the Usability Professionals’ Association and covers usability and user experience topics in depth.
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Formal Education
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As discussed in Chapter 13, academia is still struggling with where to fit and how to teach information architecture, not to mention the many other emergent fields under the collective umbrella of user experience design. While many more courses are offered today than when this book was last published, programs focusing specifically on information architecture are still few and far between. If you are interested in formal education in IA, it’s still a good plan to consider graduate-level programs in established fields related to information architecture (such as library science, cognitive psychology, and human–computer interaction) and augment your studies with cognate courses from other fields.
In 2003, the IA Institute published a very detailed and well-organized list of institutions worldwide that offer courses and full degree programs dedicated to information architecture.
In 2006, an extensive but less-detailed list of educational institutions offering courses or programs related to IA was compiled as part of one of the surveys conducted to inform this book. This list includes all programs mentioned by any survey respondent. This is also available on the IA Institute web site. (See question 5.)
IxDA has begun a list of education resources for interaction designers.
Human Factors International has published a list of graduate human–computer interaction programs.
The most up-to-date collection of resources on the topic; includes listings of programs and discussion of syllabi.
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Conferences and Events
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Quite a few conferences have been held since we last published this book. While a few of the bigger ones are listed below, you can find out about many more conferences and events by keeping up with discussion lists and the event calendars listed below.
The longest-running and most specific conference dedicated to information architecture—the ASIS&T-sponsored Information Architecture Summit—has been held in North America each spring since 2000. The Summit is organized by volunteers and typically attracts 300–400 attendees. ASIS&T also organizes the European IA Summit. Visit the ASIS&T web site (http://www.asis.org) for information on the next Summit.
DUX (Conference on Designing for User eXperience) began in 2003 as a collaboration of ACM SIGCHI, ACM SIGGRAPH, and AIGA, with the intent of holding a conference every second year. Information for the most recent conference is available at http://www.dux2005.org.
The IAI is organizing or sponsoring IA conferences and meetings around the world, including IA Retreats, the IDEA Conference, and more. Keep up by viewing the IAI’s events calendar (http://iainstitute.org/calendar). Many more conferences and events can be found through the events calendars listed below.
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Examples, Deliverables, and Tools
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There are no definitive ways to create architectural documentation, no standards for diagrams, and no consensus tools to help you do your work as an information architect. It’s not clear if there ever will be. Thankfully, there are more and more useful resources to provide you with options and ideas, primarily from the IAwiki.
The IA Institute has organized quite a few sample documents within its Tools section.
From site maps and wireframes to examples and advice, this page provides an extremely impressive collection of links on the products of information architecture design.
The IAwiki doesn’t have quite as much information on actual tools, but this page is a good start and is the best source on the topic so far.
The IxDA Resource Library contains a growing repository of content about Patterns, Work Products, Software and Tools, Research, and more.
Originally released in October of 2000, Jesse James Garrett has regularly updated this collection of tools, templates, and thoughts. His goal is “to describe, at a high level, the structure and/or flow of the user experience of a web site.” He’s done so in a highly systematic way, and both information architects and interaction designers will find it quite useful.
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