For technical support managers
The technical support metrics that matter for a manufacturer
Eight measures, what each one counts, how they connect, and which published benchmarks are worth comparing yourself against.
Lingo
4 min read
Most manufacturers’ helplines measure what the phone system reports: calls answered, time in the queue, call length. Those measure the effort that goes into support. The measures that matter more are what the answers achieve: whether the question was settled, whether the job got finished, and whether the same question will be back tomorrow.
In short
- Eight measures cover a manufacturer’s technical support: six for the helpline and its documentation, and two for what its answers do in the field.
- They follow a question from when it is asked to when the job is finished, so a weak early stage shows up in the later ones.
- Three published first-time fix figures sit between 75 and 77%, but they are measured differently. Your own trend matters more than any of them.
Eight measures, and what each one counts
| Measure | What it counts | Why it matters |
|---|---|---|
| First contact resolution | Questions settled the first time they are asked, with no callback or second contact. | The headline measure of a helpline. Count it per topic, not just overall. |
| Time to first answer | From the installer’s first message or call to the first useful reply. | Includes the queue, and the night if the desk is closed. |
| Repeat contact rate | The same installer back about the same job within a set period. | A high rate means answers are incomplete or the steps came in the wrong order. |
| Escalation rate | Share of questions passed from the first person to a senior engineer or the design team. | Watch who they go to. Engineering time is the expensive kind. |
| Out-of-hours demand | Share of questions that arrive when the desk is closed. | Usually unknown, because nobody is there to count them. |
| Documentation coverage | Share of questions with a documented answer. | The measure that tells you what to write next. |
| First-time fix rate | Jobs finished on the first visit. | The field measure that support answers most affect. |
| No fault found rate | Returned parts or visits where nothing was wrong with the product. | A signal of setup and diagnosis problems, not product ones. |
How they connect
The measures are not independent. They follow a question through four stages, and what happens at one stage limits the next.
From question to finished job
Four stages, and the measures that describe each
- Questions askedAll channels, all hours
- Answered from documentationCoverage, out-of-hours demand
- Settled first timeFirst contact resolution, time to first answer, escalation rate, repeat contact
- Job finished first visitFirst-time fix, no fault found
The stage most helplines cannot see is the second: how many questions had a documented answer.
Without it, a low first contact resolution rate could mean poor advisors, poor documentation or simply hard products. With it, you know which.
Benchmarks worth comparing against
Benchmarks for manufacturers’ technical helplines are scarce. The nearest published figures come from field service research and general contact centres. Treat them as a sense of scale, not a target.
Three published first-time fix figures
Not the same measure. Read each row separately
| Study | How it was measured | Rate |
|---|---|---|
| Aberdeen Group, 2013 | Survey answers, average across respondents (n=156) | 75% |
| The Service Council, 2017 (2016 data) | Survey answers from 42 organisations, mostly North American. Mean or median not stated | 76% |
| Aquant, 2026 (vendor) | Anonymised performance data from 161 service organisations. Top performers 88%, bottom 60% | 77% |
The three figures are close, but they are not a trend. The first two are what respondents reported; the third is drawn from service organisations’ performance data, so the definitions differ. The more useful finding is the spread inside one study: 88% for Aquant’s top performers against 60% for the bottom. Aquant also estimates that one in five cases could have been resolved remotely, which is a modelled figure.
Start with three
If you measure nothing today, start with first contact resolution, out-of-hours demand and documentation coverage. The first tells you how the helpline is doing. The second tells you how much demand you are not seeing. The third tells you what to fix. The one-week tally gets you the third in five days.
Sources
- Fixing first-time fix: repairing field service efficiency to enhance customer returnsAberdeen Group, March 2013.
- 2017 Field service: early resultsThe Service Council, June 2017.
- Aquant’s 2026 field service benchmarkAquant, via GlobeNewswire, February 2026. Vendor research. Figures are from the published press release.
Questions people ask
What KPIs should a manufacturer’s technical support team track?
First contact resolution, time to first answer, repeat contact rate, escalation rate, out-of-hours demand, documentation coverage, first-time fix rate and no fault found rate. The first six measure the helpline and its documentation; the last two measure what its answers do in the field.
What is a good first-time fix rate?
Three published field service figures sit between 75 and 77%: Aberdeen Group in 2013, The Service Council for 2016 and Aquant in 2026. They are not the same measure. Two are survey answers and one is drawn from service organisations’ performance data, so they cannot be read as a trend. Compare against your own figure over time.
What is first contact resolution?
The share of questions settled the first time they are asked, with no callback or second contact. It is the main measure of whether a helpline answers questions or just takes them.
