Describe leading vs lagging indicators with technical performance examples.
Tests your ability to distinguish predictors from outcomes. A strong answer defines causality, offers a leading metric like cache hit rate, and a lagging metric like P99 latency. Red flag: offering only business metrics or confusing activity with outcomes.
Tests whether you can separate controllable inputs from final outcomes when designing observability. A strong answer defines leading indicators as early signals you can influence, like connection pool saturation or cache hit rate, and lagging indicators as outcome measures that confirm results after the fact, like P99 latency or error rate. It should map the causal chain from the leading signal through the system change to the lagging result. Red flag: giving vanity metrics like deploy count or confusing correlation with causation.
Read the original → Wikipedia: Performance indicator
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- #metrics
- #observability
- #performance
- #senior
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