Best practices for scaling A/B testing with experiment protocols
Running one A/B test well is manageable. Scaling A/B testing to hundreds of experiments across dozens of teams is harder, because teams may make different decisions about metrics, randomization, rollout, and analysis. Experiment protocols in Datadog Experiments turn an approved methodology into a reusable configuration, giving experiments of the same type a consistent starting point. In this post, you’ll learn how to.