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Putting Lipstick on UX Feedback

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Putting Lipstick on UX Feedback

  1. 1. 1 Pu#ng Lips+ck on UX Feedback
 Eva Kaniasty / UX Consultant @kaniasty
  2. 2. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 2 " [The area of the brain which lights up when we experience beauty is] involved in our emotions, our feelings of reward and pleasure, and our ability to make decisions.
 http://www.wired.com/2011/07/why-does-beauty-exist Beauty
  3. 3. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 3 •Compare •Prioritize •Categorize Genera+ng Meaning • Express Confidence • Show Context • Summarize Content *Never forget usability
  4. 4. 4 COMPARE
  5. 5. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 5 Task Comple+on Same par+cipants Same moderator Same product
  6. 6. 6 PRIORITIZE
  7. 7. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 7 Findings • The checkout process worked well. 7/8 participants were able to successfully purchase tea. • All 4 mobile participants initially had trouble noticing the hamburger nav. 1 never found it. • Less tea-savvy participants (4/8) had difficulty discovering new teas.
  8. 8. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 8 • The checkout process worked well. 7/8 participants were able to successfully purchase tea. Ŏ • All 4 mobile participants initially had trouble noticing the hamburger nav. 1 never found it. ŏŏŏ • Less tea-savvy participants (2/8) had difficulty discovering new teas. ŏ Findings
  9. 9. 9 CATEGORIZE
  10. 10. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 10 Par+cipant Summary ♀ 5 Female ♂ 3 Male 4 on Laptops 4 on Smartphones 
 (4 iPhone, 3 Android, 1 Windows Phone) 3 3 2 Thomas TravelerSarah Sophisticate Helen Healthy
  11. 11. 11 CONFIDENCE
  12. 12. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 12 Ease of Use Ra+ngs Rating Scale Difficult ○␣ ○␣ ○␣ ○ ○␣ ○␣ ○␣ Easy 1 2 3 4 5 6 7 Confidence Level: 90%
  13. 13. 13 CONTEXT
  14. 14. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 14 System Usability Scale SUS yields a single score per parAcipant. Users are more likely to recommend websites that score above 80 on the SUS. CREDIT: Sauro - MeasuringUsability.com
  15. 15. 15 CONTENT
  16. 16. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 16 Seman+c Differen+als
  17. 17. Eva Kaniasty | Red Pill UX | @kaniasty Tools 17 •Infogr.am 
 (use code uxpaboston) •plot.ly •Excel •Powerpoint •Photoshop •Illustrator
  18. 18. 18 MISTAKES
  19. 19. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 19 Visualiza+on Mistakes 1. Implying statistical significance 2. Over-aggregation 3. Comparing apples to oranges 4. Leaving out context 5. Adding meaningless visual noise 6. Poor usability
  20. 20. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 20 Task Comple+on
  21. 21. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 21 Findings
  22. 22. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 22 Par+cipant Summary
  23. 23. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 23 Ease of Use Ra+ngs Rating Scale Difficult ○␣ ○␣ ○␣ ○ ○␣ ○␣ ○␣ Easy 1 2 3 4 5 6 7 80%rated above average http://bit.ly/statscalculators
  24. 24. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 24 Product Reac+on Cards
  25. 25. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 25 SUS Credit: Tullis & Albert - Measuring the User Experience
  26. 26. Eva Kaniasty | Red Pill UX | @kaniasty | #uxpabos16 26 " [The area of the brain which lights up when we experience beauty is] involved in our emotions, our feelings of reward and pleasure, and our ability to make decisions.
 http://www.wired.com/2011/07/why-does-beauty-exist Beauty
  27. 27. 27 Thank You! Happy Visualizing! CREDIT

Editor's Notes

  • Beauty evokes curiosity / opposite of curiosity is boredom
  • If you visualization generates more questions than it answers, use words.
  • Same participants
    Same moderator
    Same product
  • Confidence is visualized/stated.
  • Numbers are summaries
  • Tables are great visualizations.
  • Practice!
  • Practice!
  • Were the same tasks used across all studies?
    Was the same product tested?
    Were the participants similar?
  • How many issues does 30% represent?
    Does each icon represent an issue or a participant?
    How do you define ‘high severity’?
    Is this good or bad?
  • Sometimes numbers make the best visuals.
    Why do I need a visual to understand this?
  • Is this statistically significant?
  • What do the colors mean?
    What does word size represent?
    What’s the sample size?
  • Am I missing data or context?
  • Beauty evokes curiosity / opposite of curiosity is boredom

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