Selecting A/B test metrics — A primer

And avoiding the common mistakes that derail most test efforts.

Aditya Rustgi
Towards Data Science
7 min readSep 12, 2019

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This article is the 3rd one in my series of articles about A/B Testing.

In the first article, I presented the intuition behind A/B testing and the importance of establishing the magnitude of the effect you hope to observe and corresponding sample size.

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A product management leader interested in strategy, team building, metrics, data and analytics, marketplaces, and SaaS