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Product
Design+Machine
Intelligence for
Human Engagement
Sina Shahandeh
Director of Data Science
Influitive
July 18, 2016 - DataxDesign
Fogg’s Behaviour Model
Bartle taxonomy of player types
Activity metrics
Activity metrics
Activity metrics
Predicting Action → Prescribing Reaction
User Probability of Churn
Reaction Model
with meta
parameters
Send an email
Optimize Meta
Parameters
Conclusions
● Choose right variables for user behaviour inspired by social
psychology
● Good variables are better than sophisticated predictive model
● Use meta-parameter reaction models rather than hand-coded
rules for engagement.
● Optimize those parameters to maximize engagement
● Tap into the wisdom of crowd not your instincts

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