MTTR is lying to you: the support metrics that actually predict quality

If you measure only one thing in IT support, it is probably MTTR, mean time to resolve. It is the metric on every dashboard and in every board pack. It is also, on its own, one of the most misleading numbers you can track.

Here is why, and what to watch instead.

Why MTTR misleads

MTTR is an average, and averages hide everything interesting. A team can have a healthy-looking MTTR while a handful of tickets sit unresolved for weeks, because the flood of quick tickets drags the average down. The number looks fine; the customers waiting three weeks do not feel fine.

MTTR also says nothing about why things take as long as they do, whether the same issues keep coming back, or whether customers are actually satisfied with the outcome. Optimizing MTTR in isolation can even make support worse, because the fastest way to close a ticket is to close it before it is really solved.

MTTR is worth tracking. It is not worth trusting alone.

The four numbers that actually predict quality

1. First Contact Resolution (FCR)

The percentage of tickets resolved on the first interaction, without escalation or bouncing between people. FCR is the closest thing to a single health indicator support has. High FCR means your first line is genuinely capable, your knowledge base works, and customers get answers instead of a relay race. When FCR is low, everything downstream, MTTR, cost, satisfaction, gets worse.

2. Repeat incident rate

How often the same underlying problem generates new tickets. This is the number that separates reactive teams from mature ones. A team with disciplined problem management drives this down over time, because it fixes root causes instead of the same symptom again and again. A rising repeat rate is an early warning that you are treating symptoms.

3. SLA compliance, by priority

Not a single blended number, but compliance broken out by priority. Blended compliance can look healthy while you are consistently breaching your most critical tickets, exactly the ones that matter most. Watching compliance per priority tells you whether you are failing where it counts.

4. CSAT, tied to tickets

Customer satisfaction measured against actual resolved tickets, not an annual survey. When CSAT is linked to specific interactions, it tells you whether the fast resolution actually solved the customer’s problem. A ticket closed quickly with an unhappy customer is not a win, and only ticket-level CSAT reveals that.

Read them together

The insight is not in any single metric but in how they move together:

• MTTR down but repeat rate up? You are closing tickets fast without fixing causes. The work is coming straight back.
• FCR up and MTTR up? Your first line is handling more of the easy volume, leaving harder tickets in the average. This is often good news disguised as bad.
• SLA compliance high but CSAT low? You are hitting your time targets but not actually solving problems. The SLA is measuring the wrong thing.

No single number tells the truth. The pattern across these four does.

The starting point

If you do not currently know your FCR and your repeat incident rate, start there. They are harder to game than MTTR and far more predictive of whether your support is genuinely healthy or just looks busy.

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Supportimize builds the reporting that shows these metrics honestly, and the problem management that moves them in the right direction. Take the two-minute Maturity Check or book a free consultation.