
You work on a digital learning product and your team has launched a new feature that is intended to help students come back more often. Early usage looks promising, but retention is noisy and leadership wants to know whether the feature truly improved user retention rather than just creating a short-term engagement bump.
How would you evaluate whether the new feature actually improved retention? Walk through the experiment you would run, how you would measure success, and how you would decide whether to ship.
Retention is lagging and noisyEarly engagement may reflect novelty rather than durable valueAssignment or logging bugs can create sample ratio mismatchRepeated checking can inflate false positives