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Lecture 2 - Data Driven Personalization
Page last edited by Benjamin Johansen (benjoh) 11/09-2017
Monday September 11th
Learning objectives week 2
Assignment week 2Upload one PDF per group (4 people max) outlining how you would infer individual preferences from user behaviour based on time/program/volume facts data (using for example Facets Dive), 1) sketching goals, activities and tasks in a user story map as hypotheses that can be validated 2) in a prototype app described by a working link to a functional Marvell/POP app wireframe/prototype by Thursday September 14 at 23:00 to the peergrade.io course page - subsequently individually review the projects you have been assigned on peergrade before Friday September 15 at 23:00. NOTE: Remember to update and include also 3) your lean business canvas for the app in the PDF. SlidesVideo lecturesRequired ReadingRochelle King et al: Designing with Data (Chapter 5) Jeff Patton: "User story mapping" Chapter 1 (free sample chapter 1) Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns The Surprising Power of Online Experiments Additional LinksGroups overview |
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