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The researchers blind spot: 6 cognitive biases we shouldnt ignore in research UX New Zealand 2016 Ruth Ellison, Principal User Researcher, PwCs Experience Centre @RuthEllison Hi :) 2 @RuthEllison $10 $20 Free! $7 @RuthEllison


  1. The researcher’s blind spot: 6 cognitive biases we shouldn’t ignore in research UX New Zealand 2016 Ruth Ellison, Principal User Researcher, PwC’s Experience Centre @RuthEllison

  2. Hi :) 2 @RuthEllison

  3. $10 $20 Free! $7 @RuthEllison

  4. $10 $20 $1 $8 @RuthEllison

  5. The Zero Price Effect is a Cognitive Bias @RuthEllison

  6. What is a cognitive bias ? Mental shortcut @RuthEllison

  7. You can buy a copy of this poster from: https://www.designhacks.co/products/cognitive-bias- @RuthEllison codex-poster

  8. We are all human 8 Photo available under a CC by 2.0 licence https://www.flickr.com/photos/yellowbookltd/14907364551/ @RuthEllison

  9. @RuthEllison Image source: http://www.businessinsider.com.au/w hat-new-coke-looked-like-in-1985-2013- 3

  10. Applying it to design research Preparing Running Analysing @RuthEllison

  11. Preparing for research @RuthEllison

  12. @RuthEllison

  13. Selection bias @RuthEllison

  14. Multiple channels - mix of recruitment companies, social media, trusted networks Avoid professional respondents Careful screeners Behavioural based recruitment @RuthEllison

  15. Running research sessions Photo available under a CC by 2.0 licence: https://www.flickr.com/photos/gdsteam/20649386153 @RuthEllison

  16. Observer-Expectancy effect @RuthEllison

  17. Source: https://medium.com/@userfocus/the-7-deadly-sins-of-user-r esearch-22857c5a971b#.xb38ukdtr 17 @RuthEllison

  18. The way we frame our questions matter @RuthEllison

  19. About how fast were the cars going when they smashed into each other? Loftus, E. F., & Palmer, J. C. Reconstruction of automobile destruction: An example of the interaction between language and memory. Journal of Verbal Learning and Verbal Behavior, 1974, 13, 585-589. McLeod, S. A. (2014). Loftus and Palmer. Retrieved from www.simplypsychology.org/loftus-palmer.html @RuthEllison

  20. About how fast were the cars going when they smashed into each other? About how fast were the cars going when they collided into each other? About how fast were the cars going when they bumped into each other? About how fast were the cars going when they contacted into each other? @RuthEllison

  21. Triangulate research Use observational methods Keeping positive-neutral body language, watch the tone of your voice Avoid leading questions @RuthEllison

  22. I need a couple of volunteers please 22 @RuthEllison

  23. 2 4 8 23

  24. What’s going on?

  25. Confirmation bias @RuthEllison

  26. 26 @RuthEllison

  27. Take the opposing view 27

  28. Analysis of Competing Hypotheses (ACH) Don’t just confirm your hypothesis, see if you can prove it wrong 28

  29. List assumptions Be skeptical, especially if everyone agrees with you Remain open Consider all evidence equally Multiple user researchers Leave your ego by the door. @RuthEllison @RuthEllison from PwC’s Digital Services

  30. Groupthink & the Bandwagon effect @RuthEllison

  31. 31 @RuthEllison

  32. Triangulate with other research methods (e.g. observational) Use a mixture of individual and group exercises Avoid stating preferences and expectations at start Give someone the devil’s advocate role to question assumptions @RuthEllison

  33. Anchoring bias @RuthEllison

  34. 34 @RuthEllison

  35. 35 https://www.flickr.com/photos/naotakem/17105160150/

  36. Consider the order of questions and designs carefully Open ended questions Alternate order in which participants are shown concept or design versions Show version A first 1 3 5 Show version B first 2 4 6 @RuthEllison

  37. Analysing @RuthEllison

  38. 38 @RuthEllison

  39. Apophenia 39 @RuthEllison Source: https://au.pinterest.com/pin/249738741807276910/

  40. Clustering illusion & reporting bias @RuthEllison

  41. Sample sizes – it’s about the WHY Consider evidence equally – not just the ones that confirm your belief/assumption Collaborative analysis sessions Strive for objectivity @RuthEllison

  42. How vulnerable are you to these biases? 42 @RuthEllison

  43. What percentage of the population will be more biased than the average person? @RuthEllison

  44. Are you more biased than the average person? @RuthEllison

  45. Blind spot bias @RuthEllison

  46. Become more rational, but less rationalising Continuous learning Listen with an open Always assess your method, mind your analysis and yourself for bias 46 @RuthEllison

  47. We are all human 47 @RuthEllison

  48. Image source: https://en.wikipedia.org/wiki/Twenty_Questions#/media/File:20_questions _1954.JPG @RuthEllison

  49. Thank you :) Say hello @RuthEllison

  50. Further reading List of cognitive biases You are not so smart: a celebration of self delusion 9 Biases In Usability Testing 50 @RuthEllison

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