You work on a consumer product where two teams are running experiments at the same time, and both are trying to improve the same top-line metric. One test changes a user-facing surface, while the other changes a downstream flow that can also affect the same outcome. You need to decide how to interpret results and whether both experiments can run concurrently without corrupting each other.
What would you do if two experiments were both trying to move the same metric at the same time? How would you design, analyze, and make a shipping decision so you can separate the effects and avoid misleading conclusions?