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eBay's experimentation platform runs hundreds of A/B tests on any given day.The platform integrates with the tracking infrastructure and customerexperience servers, provides the sampling service for experiments, and has theresponsibility to monitor the progress of each A/B test. There are manychallenges especially when it is required to ensure experiment quality at thelarge scale. We discuss two automated test quality monitoring processes andmethodologies, namely randomization validation using population stability index(PSI) and sample ratio mismatch (a.k.a. sample delta) detection usingsequential analysis. The automated processes assist the experimentationplatform to run high quality and trustworthy tests not only effectively on alarge scale, but also efficiently by minimizing false positive monitoringalarms to experimenters.

Ensure A/B Test Quality at Scale with Automated Randomization Validation and Sample Ratio Mismatch Detection