RISK-AWARE PRODUCT DECISIONS IN A/B TESTS WITH MULTIPLE METRICS

Summary from the TLDR Product newsletter

This post details Spotify's decision-making process during its integration of multiple metric types from A/B tests into a unified product decision. It discusses success, guardrail, deterioration, and quality metrics and highlights the importance of unadjusted false positive rates for guardrail metrics and the necessity of correcting false negative rates for intended power. The post presents a comprehensive decision rule encompassing all metric types and suggests a design and analysis strategy to standardize decision-making across the company.