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Management · 10 min read

How to measure customer support performance

Three metrics worth reporting, two that mislead, and why average resolution time is usually a lie.

Report these three

First response time. The number customers actually feel. Report the median and the 90th percentile, never the mean — one ticket answered after nine days destroys the average and hides everything else.

SLA compliance. The percentage answered within target. It converts “we are quite quick” into something you can put in a contract.

Reopen rate. How often a resolved ticket comes back. Without it, closing tickets fast looks identical to solving problems.

Be careful with these two

Tickets closed per agent. Rewards cherry-picking easy tickets and closing hard ones prematurely. If you must use it, pair it with reopen rate and QA score.

Average resolution time. Meaningless across mixed categories. A password reset and a hardware replacement have nothing in common, and averaging them produces a number that describes neither.

The distribution matters more than the average

Support performance is not normally distributed. A small tail of very slow tickets does most of the reputational damage and is invisible in every mean. Report percentiles, and manage the tail.

Measuring quality, not just speed

Sample a fixed number of tickets per agent per month against a rubric agreed with the team — accuracy, tone, completeness, process. An hour a week produces better coaching than any dashboard.

What to do with the numbers

Nothing, unless one person owns each metric and reviews it on a schedule. Reports that are produced and not discussed change no behaviour at all.

PUT THIS INTO PRACTICE
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