
You work on a consumer fintech product and an A/B test on a new in-app prompt is showing an apparent improvement in conversion. The team is encouraged by the early lift, but you want to know whether the result reflects a true effect or random variation.
What would you look for to decide whether the observed lift is real rather than noise? Walk through how you would validate the result before recommending a launch decision.
Effect size and 95% confidence intervalP-value from the pre-registered primary testWhether the experiment reached planned sample sizeStability over time and across key segmentsGuardrail metric health and SRM checks