Data Driven Design Research Personas
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Data driven design research personas and the persona DNA profile.
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Data Driven Design Research Personas
- 1. data driven design research personas Todd Zaki Warfel, Messagefirst
- 2. “A persona is a user archetype you can use to help guide decisions about product features, navigation, interactions, and even visual design.” - Kim Goodwin, Cooper
- 3. “A persona is a user archetype you can use to help guide decisions about product features, navigation, interactions, and even visual design.” - Kim Goodwin, Cooper
- 4. Personas are a representative behavior and activity profile that are contextual and specific to the particular application or service.
- 5. Personas are a representative behavior and activity profile that are contextual and specific to the particular application or service.
- 8. They keep you out of user.
- 9. They keep you out of user.
- 10. As a design research tool, they are a powerful way to communicate knowledge, activities, interests, influencers, goals, and pain points.
- 11. As a design research tool, they are a powerful way to communicate knowledge, activities, interests, influencers, goals, and pain points.
- 12. Design research personas can be used for design
- 13. They can be used for research
- 14. Design research personas can be used for recruiting
- 15. Design research personas can be used for training
- 18. Tips for making better data-driven personas.
- 19. Multiple sources keep things in balance.
- 20. Internal sources can be stake holders, web analytics, and customer support.
- 21. External sources can be customers and someone you know.
- 22. Basing them on someone you know keeps them grounded and more realistic.
- 23. Only build what you need.
- 24. Getting it all on one page is tricky.
- 26. Not bad. But there’s a better way.
- 28. Do Te ma in ch no K n o lo Lifecycle gy wle Kn dg ow e le Ex dg pe e r ie nc e Knowledge 1 2 3 4 5 Ev er Ju gre e Fin st-in n - d a M Tim or e tg a Re ge fin an c In su e Fin ra n d a L ce en d Ad er Fin ver Activities and Interest d tis aR e ea Ca lto lcu r la to rs
- 29. Make sure you test and validate your personas.
- 30. Reality check.
- 31. Are they someone you know?
- 32. I think we did lunch.
- 33. I talked to him on the phone last week.
- 34. Common Mistakes
- 36. Large sets
- 38. The recycle trap
- 40. data driven design research personas Todd Zaki Warfel, Messagefirst