Collaborative analysis techniques for user reseaerch


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You've done the research. You've gathered data. Piles of it. Now what do you do to keep the experiences of the people you observed in mind? These techniques will help your team agree, buy in, and prioritize all the way to a smart design direction.

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Collaborative analysis techniques for user reseaerch

  1. 1. 1 Making smart design decisions Collaborative analysis techniques Dana Chisnell UX Lx - May 2010
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  3. 3. 3 Telling Stories
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  7. 7. 7 Wiki or Blog
  8. 8. 8 Rolling Issues Lists
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  10. 10. 10 Rolling issues lists Observations in real time Observer participation = buy-in Low-fi reporting
  11. 11. 11 Observations in real time Large whiteboard Colored markers Don’t worry about order Be clear enough to remember what was meant
  12. 12. Rolling issues
  13. 13. Angela Coulter Rolling issues
  14. 14. 14 Observer participation After 1-3 participants, longer break You start Invite observers to add and track items
  15. 15. 15 Weighting Number of incidents Who’s who
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  17. 17. 17 Big ideas, so far Consensus: Observers buy in observers contribute to identifying issues you learn constraints instant reporting
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  19. 19. 19 What obstacles do teams face in implementing user experience design practices?
  20. 20. 20 KJ Analysis
  21. 21. 21 Priorities, democratically reach consensus from subjective data similar to affinity diagramming invented by Jiro Kawakita objective, quick 8 simple steps
  22. 22. 22 1. Focus question What needs to be fixed in Product X to improve the user experience? (observations, data) What obstacles do teams face in implementing UE practices? (opinion)
  23. 23. 23 2. Organize the group Call together everyone concerned For user research, only those who observed Typically takes an hour
  24. 24. 24 3. Put opinions or data on notes For a usability test, ask for observations (not inferences, not opinion) No discussion
  25. 25. 25 4. Put notes on a wall Random Read others’ Add items No discussion
  26. 26. 26 5. Group similar items In another part of the room Start with 2 items that seem like they belong together Place them together, one below the other Move all stickies Review and move among groups Every item in a group No discussion
  27. 27. 27 6. Name each group Use a different color Each person gives each group a name Names must be noun clusters Split groups Join groups Everyone must give every group a name No discussion
  28. 28. 28 7. Vote for the most important groups Democratic sharing of opinions Independent of influence or coercion Each person writes their top 3 Rank the choices from most to least important Record votes on the group sticky No discussion
  29. 29. 29 8. Rank the groups Pull notes with votes Order by the number of votes Read off the groups Discuss combining groups Agreement must be unanimous Add combined groups’ votes together Stop at 3-5 clear top priorities
  30. 30. 30 Observation to Direction
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  32. 32. 32 Observations to direction Observation Inference Opinion Theory: Direction
  33. 33. 33 Participants typed in the top chat area rather than the bottom area. Observations
  34. 34. 34 Observations Sources: What you saw usability testing What you heard user research sales feedback support calls and emails training
  35. 35. 35 - Participants are drawn to open areas when they are trying to communicate with other attendees - Participants are drawn to the first open area they see Inferences
  36. 36. 36 Inferences Judgements Conclusions Guesses Intuition
  37. 37. 37 - Participants are invited to click there because it looks clickable - It’s the first open area in the widget - Participants did not see the typing area below Opinions
  38. 38. 38 Opinions Review the inferences What are the causes? How likely is this inference to be the cause? How often did the observation happen? Are there any patterns in what kinds of users had issues?
  39. 39. 39 - Make the response area smaller until it has content Direction
  40. 40. 40 Direction What’s the evidence for a design change? What does the strength of the cause suggest about a solution? Test theories
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  43. 43. 43 Big idea: Making sense of the data Observation Inference Opinion Direction What happened Gap between UI Why you think it’s A theory about and user behavior happening what to do about it
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  45. 45. 45 Big idea: Collaborative analysis share experience: stories each person shares their experience with the user everyone hears/sees rich users stories easy to visualize people using designs build consensus in real time: rolling issues observers contribute to identifying issues you learn constraints instant reporting identify priorities: KJ analysis quick, democratic make sense of the data, together what you heard, saw gap between the UI and the behavior What you think is happening
  46. 46. 46 Where to learn more Dana’s blog: http:// Download templates, examples, and links to other resources from
  47. 47. 47 Dana Chisnell 415.519.1148
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