Write the hypothesis, metric and decision rule before running an A/B test.

When to use itBefore any experiment, so results can't be reinterpreted after the fact.
  1. Hypothesis

    We believe [change] for [users] will cause [effect] because [evidence].

  2. Primary metric

    The one metric that decides the result, and the minimum change worth detecting.

  3. Guardrail metrics

    Metrics that must not get worse.

  4. Design

    Audience, split, sample size and run time.

  5. Decision rule

    What you will do if the result is positive, flat or negative.