A metric is useful when it helps someone understand a condition or make a decision. A number can be accurate and still be irrelevant to the work being managed.
Start with a recurring business question. “Are we delivering what we promised?” gives you a better foundation than “What else can we put on the dashboard?”
Connect the measure to a response
For each proposed metric, name the question, definition, data source, owner and review frequency. Describe the kinds of changes that should prompt investigation.
Avoid automatic responses before understanding context. A change in average delivery time may reflect a different mix of work rather than a deterioration in the process.
Pair speed with quality
If a team is judged only on the number of requests closed, it may feel pressure to close them before the underlying issue is resolved. A complementary view of reopened work or customer outcomes can reveal that problem.
The same principle applies to sales volume without contribution, output without rework, and response speed without usefulness. Choose combinations that reflect the outcome you actually want.
Retire measures that no longer help
Review whether the metric changed a conversation or decision during the last few cycles. Some measures are retained for compliance or long-term context; label that purpose rather than pretending they drive weekly action.
When changing a definition, record the change. A cleaner metric is useful, but the historical comparison may no longer be valid without adjustment.