Field service operations are hard to measure badly. Send a technician, close the ticket, call it done. The problem is that closed tickets can hide a lot: repeat visits, missed windows, idle trucks, and customers who tolerated the experience once and won't call back.
The KPIs that matter in field service capture the hidden costs. They tell you whether the work got done right the first time, whether the technician's time is being used efficiently, and whether the promised service level was actually delivered. These metrics separate operations that scale from ones that run on thin margins and eroding customer loyalty.
First call fix rate
First call fix rate (FCFR) is the percentage of service calls resolved in a single visit without a return trip. It is the most important metric in field service because every repeat visit costs nearly as much as the original dispatch while generating no additional revenue.
The industry average sits around 74 percent. World-class operations reach 85 to 90 percent. A rate below 70 percent consistently signals one of three problems: technicians arriving on site without the right parts, technicians who lack training for a specific fault type, or dispatchers sending the wrong technician for the job.
Improving first call fix rate starts with pre-visit diagnostics. When a customer describes the fault before dispatch, a good scheduling system uses that description to route the job to a technician with the relevant skills and flag the parts most likely needed. Operations that do this well carry higher parts inventory per truck and use historical data on fault types by equipment model to predict what will be needed before the technician leaves the depot.
A 10-point improvement in first call fix rate can reduce total cost per work order by 15 to 25 percent when you account for avoided travel, technician hours, and customer communication on the repeat visit.
Technician utilization rate
Technician utilization is the percentage of scheduled working hours spent on productive or billable work rather than travel, administration, and waiting.
A typical target range is 60 to 75 percent. Getting above 80 percent sounds good but usually means technicians are overloaded: they're skipping documentation, rushing jobs, and setting themselves up for repeat calls. Staying below 55 percent points to scheduling gaps, long travel routes, or too much time spent on administrative tasks between jobs.
The three main drains on utilization are travel time, job documentation, and parts retrieval. Field service software reduces all three. Optimized routing cuts average travel per job. Mobile documentation tools let technicians complete paperwork on-site rather than back at the office. Parts integration with inventory systems means technicians know what's on their truck before they leave.
For a team of 20 technicians at an average billing rate of $120 per hour, moving utilization from 60 to 70 percent generates roughly $480,000 in additional billable output annually, assuming a 200-day working year and 8-hour shifts.
Mean time to repair
Mean time to repair (MTTR) measures the average time from when a technician arrives on site to when the fault is resolved and the equipment is back in service. It is distinct from response time, which only measures how quickly the technician arrives.
MTTR benchmarks vary significantly by industry. HVAC service typically averages 2 to 4 hours. Medical equipment repair runs 3 to 6 hours. Industrial machinery maintenance can run 4 to 8 hours depending on fault complexity.
Long MTTR often points to documentation problems. Technicians without access to equipment manuals, fault histories, or prior service records on the same asset spend significant time diagnosing before they can repair. Operations that connect their field service software to asset service history and equipment documentation see MTTR reductions of 20 to 35 percent compared to paper-based systems.
SLA compliance rate
SLA compliance rate measures the percentage of work orders where response time and resolution time met the contracted thresholds. Most service agreements define both a response window (when the technician must arrive) and a resolution window (when the problem must be fixed).
Tracking these separately matters. A technician who arrives within the response window but doesn't resolve the issue within the resolution window fails the customer on the outcome while appearing compliant on arrival. Conversely, a fast resolution doesn't help if the technician was four hours late.
SLA penalty clauses make this metric directly financial. Many enterprise service contracts charge $500 to $5,000 per missed SLA event. Operations managing hundreds of work orders per month need automated tracking to catch at-risk jobs before they breach rather than after.
A target SLA compliance rate depends on the contract, but most operations aim for 95 percent or above. Anything below 90 percent typically triggers customer escalations and puts contract renewal at risk.
Revisit rate
Revisit rate is the inverse of first call fix rate, tracking what percentage of completed work orders required a follow-up visit within a defined period, typically 30 days. While FCFR measures success, revisit rate measures failure in a way that's useful for identifying patterns.
Segmenting revisit rate by technician, by fault type, and by equipment model reveals where training or tooling gaps exist. If one technician's revisit rate is 18 percent while the team average is 8 percent, that's a targeted training problem. If revisit rate on one equipment model is 22 percent across all technicians, the problem is documentation, parts availability, or the equipment itself.
Customer satisfaction score
Customer satisfaction in field service is typically measured via a post-visit survey sent within 24 hours of job completion. The survey asks customers to rate the technician's punctuality, professionalism, and whether the issue was fully resolved.
Industry benchmarks for field service NPS range from 30 to 60. Operations at the top of that range consistently do three things: confirm appointment times the morning of the visit, send technician-on-the-way notifications, and follow up within 24 hours if the customer reported any residual issues.
Customer satisfaction scores feed back into first call fix rate in a useful way. Customers who report that the issue was "partially resolved" on the survey represent first call failures that might otherwise go untracked if the technician closed the ticket as complete.
Frequently Asked Questions
What are the most important field service management KPIs?
The most closely watched field service KPIs are first call fix rate, technician utilization, mean time to repair, SLA compliance, and customer satisfaction score. First call fix rate and SLA compliance measure service quality. Technician utilization measures operational efficiency. Mean time to repair tracks how quickly technicians resolve issues once on site. Together these four give a complete picture of whether a field operation is running well.
What is a good first call fix rate?
The industry average first call fix rate is around 74 percent. World-class field service operations typically achieve 85 to 90 percent. A rate below 70 percent usually points to a parts availability problem, inadequate technician training for specific fault types, or insufficient diagnostic information captured before dispatch. Each repeat visit costs roughly as much as the original dispatch, so improving first call fix rate has a direct impact on cost per work order.
What is technician utilization rate in field service?
Technician utilization rate is the percentage of available working hours a technician spends on billable or productive work, as opposed to travel, admin, and waiting. A typical target range is 60 to 75 percent of scheduled hours. Rates above 80 percent often indicate a technician is overloaded and service quality suffers. Rates below 55 percent suggest scheduling inefficiency or route planning problems.
How do you measure SLA compliance in field service?
SLA compliance in field service is measured as the percentage of work orders responded to or resolved within the contracted time window. Most contracts define two thresholds: response time (how quickly a technician arrives on site) and resolution time (how quickly the issue is fully fixed). Tracking both separately is important because a fast response that doesn't resolve the issue still fails the customer while appearing compliant on the response metric.