launchdarkly-metric-choose

Choosing the right metrics for LaunchDarkly experiments involves inventorying available metrics, assessing event health, and surfacing auto-attached metrics from existing release policies to validate viable measurements.

For a guarded rollout, you should track metrics auto-attached by existing release policies and validate 2–3 core metrics to ensure they align with policy constraints and accurately measure rollout success.

Validating event health requires cross-checking available metrics against event activity to determine viability, ensuring the data accurately reflects the experiment or release policy measurements.

Yes, existing release policies automatically attach metrics to experiments and guarded rollouts, which you can surface alongside actionable recommendations for additional metrics tailored to your specific rollout.

The best way to plan metrics for release policies is to inventory available options, validate metric health within policy constraints, and establish 2–3 core metrics with clear guidelines for measurement.

Metrics may not capture event activity if event health is poor or metric instrumentation is missing, requiring you to validate metric health and follow guided next steps to properly instrument needed metrics.