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Lecture 2 - Data Driven Personalization
Page last edited by Benjamin Johansen (benjoh) 11/09-2017

Monday September 11th

08:00-08:30 Introduction and Lecture
08:30-11:30 Group work
11:30-12:00 Presentations/Feedback on group work

Learning objectives week 2

  • Model user needs hierarchically as goals, activities and tasks

Assignment week 2

Upload 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.

Slides

Video lectures

Prototyping with user Story Maps

Groups overview

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