product experimentation

ByteDance Data Platform

Sep 7, 2022 · Product Management

How to Calculate Minimum Sample Size for Reliable A/B Tests

This article explains common pain points in A/B testing, introduces essential statistical concepts such as sampling distribution, parameter estimation, confidence intervals, and hypothesis testing, and provides step‑by‑step formulas and a concrete example for calculating the minimum sample size needed to run a trustworthy experiment.

A/B testinghypothesis testingproduct experimentation

0 likes · 14 min read

How to Calculate Minimum Sample Size for Reliable A/B Tests

Didi Tech

May 22, 2017 · Product Management

Understanding A/B Testing and Gradual Release with Didi’s Apollo Platform

Didi’s Apollo platform combines A/B testing with gradual (gray) release, letting product teams safely roll out new features to targeted user segments, monitor key metrics, and apply best‑practice guidelines—such as isolating variables, pre‑defining metrics, controlling duration, random grouping, and confidence analysis—to achieve statistically significant, data‑driven improvements across thousands of weekly releases.

A/B testingData-DrivenDidi

0 likes · 9 min read

Understanding A/B Testing and Gradual Release with Didi’s Apollo Platform