How would you design an experiment measuring API latency impact on retention?
WHAT IT TESTS: Causal experiment design linking API latency to retention. ANSWER OUTLINE: Randomize users into control and delay groups; track D7 retention and P99 latency; analyze with quantile metrics. RED FLAG: Using observational data or mean latency only.
WHAT IT TESTS: Designing a rigorous A/B test that isolates the causal effect of API latency on user retention while selecting metrics that capture tail behavior. ANSWER OUTLINE: Randomize users at the ID level into control and treatment; inject synthetic delays at the API gateway for the treatment group; log D7 retention as the primary metric and P50, P95, and P99 latency as secondary; analyze with quantile metrics to detect whether tail improvements drive retention gains.
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- #experiment design
- #latency
- #a/b testing
- #quantile metrics
- #retention
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