When the Metric Becomes the Mission: Preventing a Culture of Gaming

Imagine a support team rewarded for closing tickets quickly. Its closure rate rises, but customers keep reopening the same problems. The dashboard is accurate: more tickets are being closed. The interpretation is wrong: closing a ticket is not the same as solving a customer's problem. This is an illustrative scenario, not a report about a particular company.

Targets tell people where to direct attention. Rewards tell them which trade-offs will be accepted. If leaders celebrate the number without examining the work behind it, employees may reasonably conclude that the number is the real mission. A values statement about quality cannot compete with a promotion decision based only on speed.

Separate the outcome from its proxy

Write the desired outcome in plain language before discussing the measure. For support, that might be customers can resume their work without repeating the same request. Ticket closures are one signal of progress toward that outcome, not the outcome itself. Make that distinction visible in the team's review.

Then ask a deliberately uncomfortable question: How could we improve this number without improving the outcome? The exercise is a design review, not an invitation to cheat. Answers reveal loopholes before pressure makes them attractive. Avoid collecting examples in a way that exposes individuals to retaliation for identifying a weakness.

Use a three-part measurement agreement

1. 1Metric: the signal we want to improve, such as resolution time.
2. 2Counter-signal: evidence that improvement is causing harm, such as reopened requests or repeat contacts.
3. 3Boundary: a behavior we will not accept to improve the metric, such as closing a request without confirming the agreed next step.

A sales team might pair revenue with cancellations and a boundary against promising unapproved capabilities. A production team might pair output with defects and a boundary against bypassing safety controls. The point is not to build a dashboard with fifty measures. It is to expose the most plausible failure mode of the measure that already dominates attention.

Review examples alongside averages

Select a small sample of completed work and ask whether the customer or next team actually received a usable result. Include difficult cases rather than only easy wins. Averages can improve because the team avoids complex work, changes classifications, or moves delays elsewhere. Follow the work across those boundaries.

• Did the definition of completed work change?
• Did harder requests move into an unmeasured queue?
• Did another team inherit extra rework?
• Are people reluctant to record exceptions because exceptions hurt their score?

Make honest exceptions survivable

If a legitimate exception always leads to punishment, accurate reporting becomes personally expensive. Leaders should ask what happened before deciding what a miss means. Preserve accountability for deliberate misrepresentation, but do not treat reporting a problem as equivalent to causing it. Where metrics affect compensation, work with the appropriate owners before changing definitions or rewards.

Try it on one target this week

Take the most discussed target in your team. Write its intended outcome, one counter-signal, and one non-negotiable boundary. Review three real examples against the agreement. If the number and the examples tell different stories, investigate before raising the target. A trustworthy performance culture does not abandon measurement; it refuses to let measurement replace judgment.