Your question is Design Uber A/B Onboarding Test. 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 how you would design and analyze an A/B test for a new driver-partner onboarding flow in the Uber app.
Discuss the primary metric, randomization unit, treatment assignment, minimum detectable effect, sample-size and power planning, hypothesis test, confidence interval, and rollout decision. Explain how you would handle interference, repeated users, novelty effects, guardrail metrics, and multiple comparisons. No experiment dataset is provided, so describe the analysis procedure rather than calculating a final business result.
Assume a two-sided test with a 5% significance level and 80% target power unless you justify another choice.