8 annoying A/B testing mistakes every engineer should know
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summary
In this blog post, the author discusses common mistakes made when conducting A/B testing. A/B testing is a commonly used method to compare two versions of a webpage or product to determine which one performs better. The article highlights six key mistakes to avoid during the A/B testing process, such as running tests for insufficient durations, not properly segmenting the audience, and not considering statistical significance. Each mistake is explained with examples and recommendations on how to avoid them. The author emphasizes the importance of careful planning, proper implementation, and accurate interpretation of A/B test results to ensure reliable and actionable insights. Overall, this article serves as a helpful guide for those interested in optimizing their A/B testing practices.