10 Reasons Why Data-driven App Design Needs Social Science | Julian Runge

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United States GameDaily Connect
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Published on ● Video Link: https://www.youtube.com/watch?v=rQwI-0QPTeY


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Delivered at Casual Connect Eastern Europe 2018. App publishers have the ability to collect dense records of user behavior and use them for data-driven app design. Analysts and data scientists can provide nuanced decision support and build machine learning models, with common use cases including predictive analytics and personalization. Using ten examples, we illustrate why data-driven app design is at risk of failing without a robust understanding of users routed in social science.
Download slides: https://bit.ly/2DYIkk5



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Tags:
Casual Connect Eastern Europe 2018
Julian Runge
N3twork
gaming industry
user behavior
filter bubbles
ltd
user retention