Our organization recently got a new executive leader who wants every department, including IT, to provide performance KPIs. We are struggling to identify metrics that reflect IT's actual performance rather than simply measuring demand generated by other teams, such as ticket volume or the number of security reviews.
Time to resolution is another possibility, but our ticket system includes long-term tracking items and internal work that should not be artificially closed just to improve a statistic. We want metrics that encourage quality, reliability, security, and useful outcomes—not rushing to close tickets or avoiding difficult problems.
What IT KPIs have you found meaningful and difficult to game?
5 Answers
Be cautious with ticket counts, average closure time, utilization, and same-day closures. They are easy to manipulate and can encourage premature closure or avoidance of complex work. If you track resolution time at all, segment it by ticket type and report reopened tickets, time waiting on the requester or another team, and recurrence so the number reflects actual service quality.
If your team supports highly specialized research systems, individual ticket throughput is especially misleading. A better approach is to measure the team or service: availability of supported platforms, response against agreed service targets, repeat-incident reduction, project delivery against planned scope and milestones, and feedback from the people supported. A difficult investigation involving unique lab equipment may be excellent work even if it takes much longer than a routine helpdesk request.
For reliability and change management, consider change failure rate, mean time to recovery, recurring incidents, system availability, and the percentage of changes completed successfully without rollback or emergency fixes. These measure quality and resilience instead of rewarding people for closing tickets quickly.
Security and modernization can also be measured through outcomes: patch compliance, time from patch release to deployment, phishing-test failure trends, blocked attack trends, automation replacing manual work, and reduction of technical debt. Security review counts alone can become a vanity metric unless you also measure whether risks were reduced.
Keep the dashboard small. Four or five consistently measurable KPIs are more useful than twenty numbers that take a week to compile and nobody understands.
Focus on service and outcome metrics rather than raw activity. Useful examples include availability of critical systems, incident recovery time, incidents resolved within agreed SLAs, first human response time, customer satisfaction, ticket reopen or recurrence rates, and the percentage of critical vulnerabilities remediated on time. Define the scope carefully so internal tracking tickets and time waiting on another team do not distort the results.
I would treat customer satisfaction as an important counterbalance. SLAs show whether commitments were met, but CSAT can reveal whether the service was actually useful to the people receiving it.
It also helps to separate targets from KPIs. Set service expectations such as acceptable outage duration or response time, then use the KPI to show how consistently those expectations are being met.