Your question is Using CUPED in Product Experiments. 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 are running an A/B test on a product change and the primary metric is noisy, making it hard to detect small but meaningful effects. You are considering using a pre-experiment covariate to reduce variance and improve sensitivity without changing the treatment itself.
What is CUPED, and when would you use it in a product experiment? Explain how it changes the analysis, what assumptions make it useful, and when it may not help much.