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Chapter 3
Design for finding
Information architecture starts with people and the reason they come to your site or use your app: they have an information need.
information needs
Information needs can vary widely, and each type of information need causes people to exhibit specific information-seeking behaviors. It’s important that you understand those needs and behaviors, and shape your designs to correspond accordingly. There is no goal more important to designing information architecture than to satisfy peoples’ needs.
let's go fishing:
the four types of information needs

information-seeking behaviors
How do website users find information? They enter queries in search systems, browse from link to link, and ask humans for help (through email, chat interfaces, etc.). Searching, browsing, and asking are all methods for finding, and these 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. One may also go through substantial iteration 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.
"berry-picking" model
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.

"pearl-growing" approach
Another useful model is the “pearl-growing” approach. Users start with one or a few good documents that are exactly what they need. They want to get “more like this one.” To meet this need, Google and many other search engines allow users to do just that: Google provides a command called “Similar pages” next to each search result. A similar approach is to allow users to link from a “good” document to documents indexed with the same keywords.
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