Track a focused KPI set with clear ownership
High-performing labs avoid dashboard overload. Start with a focused weekly set tied to operations, quality, and growth outcomes.
Each KPI should have a named owner, acceptable range, and predefined response protocol when performance drifts.
Operational KPIs that matter most
Core operational KPIs include TAT by test category, pending queue aging, and analyzer-to-report latency.
These metrics reveal whether the lab is operating smoothly or accumulating hidden backlog risk.
Quality and reliability KPIs
Track correction rate, repeat-test incidence, and unresolved support incidents affecting reporting flow.
Quality metrics should be reviewed with corrective-action follow-through, not only reported for visibility.
Growth and commercial KPIs
Monitor referral retention, branch-level throughput trends, and conversion from inquiry to active testing relationships.
Link growth metrics to operational capacity planning so expansion does not degrade service quality.