Wk2 Data Driven Design

Video pre-lecture

• Prototyping with user Story Maps

Slides

• Slides Recorded lecture
• [Last year: Data Driven Design]

Required Reading

• Rex Hartson and Pardha Pyla: The UX Book, Chapters 21and 22
• Jeff Patton: “User story mapping” Chapter 1 (free sample chapter 1)

• Johansen et al: Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns

Guide to user story map

• https://www.easyagile.com/blog/the-ultimate-guide-to-user-story-maps/

Notes★

• Design an effective hypothesis-validation★

  A hypothesis is a prediction you create prior to running an experiment. The common format is: If [cause], then [effect], because [rationale]. In the world of experience optimization, strong hypotheses consist of three distinct parts: a definition of the problem, a proposed solution, and a result

Additional Links

• The Surprising Power of Online Experiments
• Choe et al: Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications
• Rochelle King et al: Designing with Data (Chapters 4 and 6)
• Gomez-Uribe, C.A. and Hunt, N., 2016. The netflix recommender system: Algorithms, business value, and innovation. ACM Transactions on Management Information Systems (TMIS), 6(4), p.13.