You work on a payments product where the team has built a new feature in the checkout installment flow intended to improve customer conversion. Stakeholders want to know whether the feature should launch broadly, but you need a rigorous experiment design that balances growth with risk to approval quality and customer experience.
Walk me through how you would approach A/B testing this new feature. How would you decide what to measure, how long to run the test, and whether the results are strong enough to ship?
Hypothesis articulationPrimary metric and guardrail selectionPower analysis with explicit MDEExperiment design and launch decision discipline