Your question is Causal Lift After On-Air Feature. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You work on a shopping platform where a product is featured on-air and digital sales rise shortly after the segment airs. Leadership wants to know whether the lift was actually caused by the on-air feature or just reflected normal demand shifts. You need to separate correlation from causation before the team changes how features are scheduled.
How would you determine whether the lift in digital sales after the on-air feature was actually caused by the feature? What experiment design, metrics, and analysis would you use to make that call?