A mobile app team wants to roll out a new recommendation algorithm and needs an A/B test to decide whether to launch it.

Describe end-to-end how you would design and run this A/B test. What metrics would you track and how would you define success? How do you determine the required sample size and test duration? Name common pitfalls in A/B testing and how to avoid them.

Discuss randomization, segmentation, statistical power, guard-rail metrics, stopping rules, and launch criteria.

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