Implement an A/B test for a new checkout flow

Tests your grasp of the full A/B testing lifecycle. A great answer outlines a feature flag system, consistent user bucketing via hashing a stable user ID, and an analytics query grouping by variant. A red flag is suggesting simple client-side randomization.
This tests your practical knowledge of implementing a robust A/B test, from user bucketing to analysis. A strong answer details a feature flag service for assignment, a deterministic hashing method on a stable user ID for consistency, and a SQL query that groups 'purchase_complete' events by variant to calculate conversion rates. A common mistake is suggesting client-side randomization without a persistence strategy, which breaks consistency across sessions and devices.
Read the original → posthog.com
- #a/b testing
- #analytics
- #feature flags
- #systems design
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