ACT-W: UX and Machine Learning

ACT-W: UX and Machine Learning

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Ash Dzick

May 06, 2019
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Transcript

  1. Solving What to Solve UX + Machine Learning @ashleydzick

  2. The 20K Foot View

  3. None
  4. Input Output Hidden Layer variables result

  5. correct!

  6. not so correct..

  7. Machine Learning is Everywhere

  8. None
  9. None
  10. medium.com/netflix-techblog/
 artwork-personalization-c589f074ad76

  11. https://algorithms-tour.stitchfix.com

  12. Machine Learning Your $$$

  13. None
  14. Solving What to Solve

  15. If you aren’t aligned with a human need, you’re just

    going to build a very powerful system to address a nonexistent problem.
 
 - Google’s ML Team
  16. Can you solve your problem without machine learning?

  17. mail.google.com says It seems like you forgot to attach a

    file. You wrote “I have attached” in your message, but there are no files attached. Send anyway?
  18. Is this problem worth your time? money, effort

  19. None
  20. None
  21. Why does the problem need to be solved? Impact Advantage

    ROI
  22. Positive user impact Machine learning requirements

  23. Positive user impact Machine learning requirements Forgot Attachment 
 in

    Gmail Amazon 
 ResumeBot Product 
 Recommendations Self Driving Cars No UX, No ML
  24. Positive user impact Machine learning requirements Forgot Attachment 
 in

    Gmail Amazon 
 ResumeBot Product 
 Recommendations Self Driving Cars No UX, No ML
  25. When in doubt, just go ask your users.

  26. Setting Yourself Up For Success

  27. Well-defined problem Realistic scope Validated with users Meaningful and impactful

  28. Describe it in simple terms your ML problem

  29. None
  30. List assumptions

  31. None
  32. for ________ users in ________ situations, we assume they’ll prefer

    ________ and not ________
  33. For Google Photos users searching we assume they’ll prefer “playgrounds”

    and not searching for “children”
  34. You’re ready to start solving! slides will be on twitter,

    @ashleydzick