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.
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