What's in it for you? Why emphasize explanations, not just information? Part 2 by Ugly Research

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    What's in it for you? Why emphasize explanations, not just information? Part 2 by Ugly Research - Presentation Transcript

    1. What’s in it for you? Why emphasize explanations instead of information? [Part 2 in a series.] Tracy Allison Altman, PhD Ugly Research November 2009
    2. Information vs. Explanation*
      • Information
      • Facts.
      • Emphasis on who, what, where, when.
      • Supports action.
      • Explanation
      • Describes facts, and their consequences.
      • Emphasis on how/why.
      • Supports planning & analysis. Links action with results.
      *See Appendix, and also Part 1 of this presentation for more details.
    3. Why does this matter?
      • Why emphasize explanations?
      • Explaining is one of the most important things we do.
      • Explanations deserve more management and R&D focus: They’re not being handled purposefully or explicitly.
      • People need a practical way to find useful explanations buried inside other information.
    4. What’s in it for you?
      • #1. Communicate better:
      • Draw more attention to your data & findings.
      • Get faster adoption of your ideas. Be more influential & persuasive.
      • Discover innovative ideas and new insights more easily.
    5. What’s in it for you?
      • #2. Design better software:
      • Offer a better experience.
      • Deliver better ROI.
      • Help customers develop more efficient business processes.
    6. What’s in it for you?
      • #3. Use technology better:
      • Get better software solutions.
      • Create more compelling events and experiences.
      • Develop more efficient business processes.
    7. For example.
      • By explicitly emphasizing explanations, you can:
      • Deliver a better search experience (less information overload, more accurate results).
      • Get higher-quality content from Enterprise 2.0 and Web 2.0 efforts.
      • Improve your own content: Highlight important explanations contained in marketing collateral, tech support documentation, etc.
    8. A few more examples.
      • Connect performance data to explanations of what is happening (e.g., “Why did we miss our Q3 numbers?”)
      • Filter email & relieve inbox overload.
      • Improve social CRM & idea submission.
      • Blend fragmented information into cohesive snapshots of what is happening.
    9. ExplanationScience.org
      • Join this new community.
      • Pioneering the science of explaining :
        • What goes into a ‘good’ explanation?
        • What technologies are best for developing explanatory information? Which ones are best for presenting explanations?
      • @ ExplanationSci on Twitter
      • For details: joinus@explanationscience.org
    10. Who is Ugly Research?
      • Management strategy & software design firm.
      • Our Tiny Soapbox methodology separates good explanations from ordinary information.
      • Seminars and consulting services.
      • @ UglyResearch on Twitter
      • Tracy Allison Altman can be contacted at tracy@uglyresearch.com
    11. More in this series.
      • Part 1. How to stop delivering information, and start delivering explanations. [26-Oct-09]
      • Coming up next:
      • Part 3. Software design: Where technology has failed, and what to do about it. [Nov ‘09]
    12. Appendix
      • Definition of ‘explanation’
      • Overview of status quo for creating & searching for explanations
    13. What’s an ‘explanation’?
      • ‘ Explaining’ means:
      • Linking cause & effect.
      • Making relationships evident.
      • Providing a why/how.*
      • A good explanation should show us:
        • - What things are related.
        • - The supporting evidence.
      • *www.boardofstudies.nsw.edu.au
    14. Status quo: Creating explanations.
      • Where do people put explanations together?
      • Most anywhere they can create and publish content. Usually the result is something unstructured.
      • Some software apps and web sites are designed to help people explain, but even then it’s mostly free-form.
    15. Status quo: Finding explanations.
      • Where do people look for explanations?
      • Broad searching/querying (docs, tweets, databases, etc.) delivers many results – but lots of those don’t include any explanations.
      • Searching explanation-rich sources delivers more targeted, but limited, results (PubMed, how-to sites, Wikipedia, Google scholar, etc).

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