Your question is Interpreting P Values in 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 reading an A/B test result for an Instagram Reels ranking change, and the primary metric is Instagram Save. The readout reports a p-value, and the team wants to know what that number actually means, especially since the analysis used CUPED.
How would you interpret a p-value in a product experiment?