How do you technically implement an A/B test for onboarding flows?
Tests experiment pipeline design: deterministic user bucketing, an exposure event before rendering, and an event schema linking actions to variant_id. Red flag: re-randomizing per session or skipping exposure logs.
Tests end-to-end experiment architecture beyond basic feature flags. A strong answer explains deterministic bucketing by user_id via hashed modulo or a feature-flag service, persisting assignment in the user profile for cross-device consistency. It requires an exposure event before the variant renders to enable intent-to-treat analysis. Analytics should use one event stream where every activation event carries variant_id, timestamp, and session context.
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