How would you A/B test a redesigned dashboard?
This tests your ability to translate a product goal into a technical plan. A good answer defines "engagement" with metrics, outlines the bucketing and instrumentation strategy, and discusses statistical significance.
This question tests your ability to translate a vague product hypothesis into a rigorous technical execution plan. A strong answer first clarifies "engagement" with specific metrics, then details the implementation: user bucketing, feature flagging, and event logging. Finally, it touches on statistical concepts like sample size and significance (p < 0.05). The biggest red flag is jumping straight to coding without defining success metrics or considering data collection.
Read the original → Wikipedia: A/B testing
- #a/b testing
- #product engineering
- #metrics
- #systems design
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