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Organizing Help Content: Breaking Out of Topic-Based Hierarchies STC Webinar. Dec 1, 2011 Tom Johnson idratherbewriting.com @tomjohnson
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THE PROBLEM
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Where would you find this in a grocery store? Image from TradeKoreaTradeKorea Next to the coconuts? Next to the cream? In canned goods? In the dessert section? In the ethnic food aisle?
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Topics frequently overlap. lays eggs venomous beaver’s tail otter feet duck’s bill Image from WikipediaWikipedia
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There isn’t an absolute order to find Radiolab excerpt Image from WikipediaWikipedia
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Each contributes toward the solution
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SEARCH
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Google works. Why not imitate it? immediate trust intuitive to use users prefer this method
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SEO Factors to Rank High on Google The number of links pointing to your site The authority of the sites linking to you The text used in the links linking to you The frequency of the keywords, especially in the title, first paragraph, and h1, h2, h3 tags Your own site’s Pagerank
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Problem: Google has armies of authors.
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Search Algorithms Differ WordPress: Sorts based on date. SharePoint: Defined by search scope settings. Mediawiki: Results segmented by namespaces. Author-it: Change and changing are not the same. Flare: Exact matches rank extremely high.
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Search fails when users don't know exact terms. From Donna Spencer’s Practical Guide to Information ArchitecturePractical Guide to Information Architecture
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Search fails to help you discover unknown unknowns. “There are known knowns. These are things we know that we know. There are known unknowns. That is to say, there are things that we now know we don’t know. But there are also unknown unknowns. These are things we do not know we don’t know.” -- Donald Rumsfeld, qtd. by Peter Morville
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Youtube video link
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METADATA
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Digital spaces allow near infinite rearrangements See David Weinberger’s Everything Is Miscellaneous
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You can create navigation filters based on your content’s facets. Image from gwilmore on Flickrgwilmore on Flickr
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You can push and pull topics in various arrangements through metadata.
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“Faceted navigation is arguably the most significant search innovation of the past decade.” –- Peter Morville, Search Patterns
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Two Types of Entry Points Dynamic NavigationStatic Navigation
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Example from Sarah Maddox/Matthew EllisonSarah Maddox/Matthew Ellison
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You can choose different entry points into the content.
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Different entry points into the content.
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To facilitate multiple arrangements, you have to chunk your content.
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The Alarm Clock Metaphor Metaphor from Mark Baker’s blog, Every Page Is Page OneEvery Page Is Page One
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First break content into small chunks…
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But only if they have meaning alone.
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I chunked up my content.
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I added metadata.
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I inserted metadata into each topic.
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I ran the queries based on metadata.
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I gave users navigation options.
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New problem: Everything is a list
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Our tools aren’t capable of the task Skyscrapers by freevector
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INTERFACE TEXT
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Principles for Interface Text Clarity: Focus efforts on fuzzy words. Is it the right word for the context? Position: Group the text close to the action the user will perform. Convention: Follow standards for names and locations. Error Messages. Make messages informative. Brevity: “Too much text discourages reading” (MSDN).MSDN
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Context-Sensitive Help No need to leave task at hand immediate findability jquery
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Problem: Forest vs. Tree View Forest overview image from Flickr Tree from alantankengoe Flickr
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Problem: UI Text Annoys Advancd Users Interface text addresses first-time needs, then gets in the way for experienced users.
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INDEXES
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Indexes Image from ACJI on Flickr familiarity leverages synonyms effective
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Alternative Indexes
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Problems with Indexes Studies show people prefer to search. Indexes are tedious and hard to create. You need a HAT to keep it synchronized.
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QUICK REFERENCE GUIDES
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Quick Reference Guides minimalist just enough to get started users not overwhelmed simple 80/20
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Problems with Quick Reference Guides Solves first-time need only Content irrelevant until user gets into interface Potentially creates another version of the source Layout intensive
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PERSONALIZATION
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Personalization Reduces scope of content speaks directly to user all relevant content
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Problem: Authentication System must have a way to identify the user’s role. Tough to authenticate users seamlessly. Overlapping roles make it difficult to select the correct role for users.
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TAGGING
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Tags and Categories Group content in more than one place web standard flexible
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Problem: A Flat File Structure
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ALTERNATIVE LEARNING MODES
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Video Visual learners interactivity necessary for learning makes sense
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Beginning to End Scenarios
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Problems with Videos Not easy to search and skim for information. Almost impossible to translate. Video narration doesn’t appear in searches unless you include a transcript below the video. Expensive to create and maintain. Requires skills that go beyond the training of most technical writers.
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LEVEL-BASED LEARNING
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Learn to crawl before you walk acknowledges cognitive sequence follows natural learning models From Kathy Sierra, Creating Passionate Users
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Problems with Level-based Organization Requires sophisticated planning to leverage content re-use. Information isn’t all in one source. Assumes your audience has patience to be in a learning mode.
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USER RESEARCH
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Card Sorting Photo from Rosenfeld Media on Flickr
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Affinity Diagrams See LDSTech See LDSTech for more details. Photos from LDSTech.
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Surface the overall messages See LDSTech See LDSTech for more details. Photos from LDSTech.
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Treejack Method: Where would you go to find information for this task? Image from Optimal Workshop
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Is Findability “Solvable”? “Different people see the world too differently for us ever to solve findability. Finding the information you need will always be work. It will always be a skill that people have to learn. We can help, but we cannot solve. Our efforts in the field of findability ought to be focused not on achieving perfect effortless findability (which is unattainable) but at easing the work of finding that the user has to do for themselves.” -- Mark Baker, Every Page Is Page OneEvery Page Is Page One
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The Problem May Be the Mindset Pythagoras image from Wikipedia. Stellar image from NASA Jet Labs Database.
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Contact Information Tom Johnson Blog: Idratherbewriting.com Email: tom@idratherbewriting.com Twitter: @tomjohnson
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