Experiment readouts PMMs can own end-to-end

PMMs inherit experiments from growth teams and still need to narrate them credibly. Start with a hypothesis card: audience slice, primary metric, guardrails, and minimum detectable effect you actually care about. If the team cannot state guardrails, pause the launch until instrumentation is validated—otherwise you will ship a story built on noisy data.

During the run, log decisions weekly: did we pause variants, change traffic, or widen eligibility? Those notes become the integrity section of your readout. Stakeholders trust transparency about messiness more than a polished chart that hides mid-flight changes.

Summaries should lead with the decision impact: ship, iterate, or stop. Follow with visuals, then appendix depth. Avoid turning a neutral result into a win—say what you learned about message-market fit and which copy blocks deserve another cycle.