Your question is Difference-in-Differences in Product Analysis. 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 analyzing a product change that rolled out to one segment first while another similar segment stayed on the old experience. You want to explain how a difference-in-differences approach would estimate the causal impact from the before and after trends.
How would you explain a causal inference approach like difference-in-differences in a product setting?