You work on a consumer fintech product and launch a change intended to increase direct deposits. After rollout, deposits rise, but the period overlaps with payday timing and broader seasonal patterns. You need to determine whether the observed lift is actually caused by the product change rather than external factors.
How would you decide whether the lift in deposits is truly causal? Walk through how you would design and analyze an experiment so you can separate treatment impact from seasonality or other outside influences.