You run an A/B test on a growth surface in a business software product, and the treatment shows a positive lift on the primary conversion metric. However, the confidence interval is wide, so the estimate ranges from a small win to a much larger one, and stakeholders are pushing to call the experiment successful.
What would you do if an experiment had a positive result but the confidence interval was wide? How would you decide whether the result is actionable enough to ship, extend, or rerun?
Interpretation of confidence intervalsUse of MDE to judge actionabilityGuardrail-aware ship decisionsAwareness of peeking and SRM