Combating sampling bias in production: How to collect and interpret performance data to drive growth

Hanson Ho
Android Architect
Embrace

Combating sampling bias in production: How to collect and interpret performance data to drive growth

Hanson Ho
Android Architect
Embrace

Combating sampling bias in production: How to collect and interpret performance data to drive growth

Hanson Ho
Android Architect
Embrace

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App performance data collected in production can be affected by several forms of sampling biases, including the oversampling pf heavy users, undersampling of churned users, and other forms of survivorship bias. This results in an incorrect picture of how your app is actually being experienced in the wild. In this session, we will discuss these biases, including techniques you can use today to mitigate them. You'll learn what you need to get a clear understanding of how all folks in the *very* heterogeneous Android ecosystem are experiencing your app. That way, you can tailor your app to enhance everyone's user experience and drive growth for all segments and device cohorts.

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