Your question is A/B Test Statistical Framework. 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).
Explain the statistical framework you would use to conduct an A/B test on a new recommendation algorithm.
Discuss how you would formulate the hypothesis, select a primary metric and guardrails, choose the randomization unit, calculate sample size using an explicit MDE, and analyze the results. Include your approach to peeking, multiple comparisons, sample ratio mismatch, novelty effects, and potential violations of independence or SUTVA. State how you would decide whether to ship the algorithm.