When you hear someone say, “that is a nice infographic” or “check out this sweet dashboard,” many people infer that they are “well-designed.” Creating accessible (or for the cynical, “pretty”) content is only part of what makes good design powerful. The human-centered design process is geared toward solving specific problems. This process has been formalized in many ways (e.g., IDEO’s Human Centered Design, Marc Hassenzahl’s User Experience Design, or Braden Kowitz’s Story-Centered Design), but the basic idea is that you have to explore the breadth of the possible before you can isolate truly innovative ideas. In this talk, I'll share some lessons we've learned from the human-centered design process and how those lessons can be used by other data science practitioners.

1. design and data science
@deanmalmgren
@DsAtweet
2013 december
brighttalk

2. design and data science
@deanmalmgren
@DsAtweet
2013 december
brighttalk

3. design and data science
innovating with data
requires a unique approach
@deanmalmgren
@DsAtweet
2013 december
brighttalk

4. Through 2015,
85% of Fortune 500 organizations
will be unable to exploit big data
for competitive advantage.
@deanmalmgren | bit.ly/design-data

5. no solutions available?
@deanmalmgren | bit.ly/design-data

6. successful all, companies are really different
no solutions available?
@deanmalmgren | bit.ly/design-data

7. no solutions available?
Innovation does not come from a product,
but from a process.
@deanmalmgren | bit.ly/design-data

8. design: the process of creating
@deanmalmgren | bit.ly/design-data

9. design: the process of creating
ideo’s
humancentered
design
@deanmalmgren | bit.ly/design-data

10. design: the process of creating
ideo’s
humancentered
design
eric ries’
lean startup
@deanmalmgren | bit.ly/design-data

11. design: the process of creating
ideo’s
humancentered
design
agile
programming
eric ries’
lean startup
@deanmalmgren | bit.ly/design-data

12. design: the process of creating
@deanmalmgren | bit.ly/design-data

13. unique challenges of designing with data
@deanmalmgren | bit.ly/design-data

14. unique challenges of designing with data
stakeholder naiveté
@deanmalmgren | bit.ly/design-data

15. unique challenges of designing with data
red tape
@deanmalmgren | bit.ly/design-data

16. unique challenges of designing with data
terminology barriers
@deanmalmgren | bit.ly/design-data

17. unique challenges of designing with data
unknown need
@deanmalmgren | bit.ly/design-data

18. unique challenges of designing with data
stakeholder alignment
@deanmalmgren | bit.ly/design-data

19. unique challenges of designing with data
analysis distrust
@deanmalmgren | bit.ly/design-data

20. unique challenges of designing with data
stakeholder naiveté
unknown need
red tape
terminology barriers
stakeholder alignment
analysis distrust
@deanmalmgren | bit.ly/design-data

21. lessons learned from designing with data
duct tape and popsicle sticks
@deanmalmgren | bit.ly/design-data

22. lessons learned from designing with data
duct tape and popsicle sticks
@deanmalmgren | bit.ly/design-data

23. lessons learned from designing with data
duct tape and popsicle sticks
@deanmalmgren | bit.ly/design-data

24. lessons learned from designing with data
duct tape and popsicle sticks
stakeholder naiveté
unknown need
terminology barriers
stakeholder alignment
@deanmalmgren | bit.ly/design-data

25. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

26. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

27. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

28. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

29. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

30. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

31. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

32. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

33. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

34. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

35. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

36. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

37. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

38. lessons learned from designing with data
rapid iteration
@deanmalmgren | bit.ly/design-data

39. lessons learned from designing with data
rapid iteration
terminology barriers
stakeholder alignment
analysis distrust
@deanmalmgren | bit.ly/design-data

40. lessons learned from designing with data
simplicity for starters
@deanmalmgren | bit.ly/design-data

41. lessons learned from designing with data
simplicity for starters
@deanmalmgren | bit.ly/design-data

42. lessons learned from designing with data
simplicity for starters
stakeholder naiveté
unknown need
analysis distrust
@deanmalmgren | bit.ly/design-data

43. lessons learned from designing with data
explain it to your grandmother
@deanmalmgren | bit.ly/design-data

44. lessons learned from designing with data
explain it to your grandmother
stakeholder naiveté
terminology barriers
analysis distrust
@deanmalmgren | bit.ly/design-data

45. lessons learned from designing with data
surrogate data is better than none
@deanmalmgren | bit.ly/design-data

46. lessons learned from designing with data
surrogate data is better than none
@deanmalmgren | bit.ly/design-data

47. lessons learned from designing with data
surrogate data is better than none
stakeholder naiveté
unknown need
red tape
analysis distrust
@deanmalmgren | bit.ly/design-data

48. lessons learned from designing with data
transparency
@deanmalmgren | bit.ly/design-data

49. lessons learned from designing with data
transparency
@deanmalmgren | bit.ly/design-data

50. lessons learned from designing with data
transparency
red tape
analysis distrust
@deanmalmgren | bit.ly/design-data

51. innovating with data
requires a unique approach
http://bit.ly/design-data
!
@deanmalmgren
dean.malmgren@datascopeanalytics.com