Of all the metrics tracked in field service, first-time fix rate (FTFR) has the most direct connection to both customer satisfaction and operational profitability. It measures something simple: did your technician resolve the issue in one visit?

TL;DR

First-time fix rate is the percentage of service calls resolved completely during the first visit, with no return trip required
Industry average is 74–76%; top-performing service organizations consistently hit 85–90%
Each return trip costs an average of $150–$250 in additional labor and travel — improving FTFR directly reduces cost per job

Definition

First-time fix rate (FTFR) is the percentage of service requests that are fully resolved during the initial technician visit, requiring no follow-up or return visit to complete the same issue.

Formula:

First-Time Fix Rate = (Jobs resolved on first visit ÷ Total jobs) × 100

For example: if your team completes 400 jobs in a month and 312 are resolved on the first visit, your FTFR is 78%.

The definition of "resolved" matters. A job should only count as first-time fixed if the reported problem is fully addressed — not if the technician patches it temporarily or schedules a follow-up for a different issue discovered during the visit.

Why It Matters

First-time fix rate affects three areas simultaneously:

Customer satisfaction: Having to wait for a second visit is the number one driver of negative reviews in field service. Customers booked time off work, rearranged their schedule, and expected the problem to be fixed. Coming back because the tech didn't have the right part, or misdiagnosed the issue, creates frustration that lingers even after the final resolution.

Cost per job: Every return trip has a cost. Travel time, labor time, and administrative overhead add up to $150–$250 per additional visit on average. For a team of 10 completing 1,500 jobs per month with a 75% FTFR, that's 375 return trips per month — roughly $56,000–$94,000 in annual extra cost from a single metric below 90%.

Technician productivity: A second trip to the same job site is unbillable or under-billable work that displaces a paying new job. High FTFR keeps the schedule full of first visits.

What Drives First-Time Fix Rate

Four factors account for the majority of FTFR variation:

Parts availability: A technician who arrives without the right part cannot complete the job. Truck stock management — knowing which parts each technician carries — directly determines FTFR. Operators who track parts consumption per job type and stock trucks accordingly see immediate FTFR improvements.

Pre-job information quality: A technician who arrives knowing what system they're servicing, its history, and the likely diagnosis can prepare appropriately. Technicians who receive only an address and a vague complaint have to improvise. Pre-visit customer screening (what symptoms? how long? what was last serviced?) dramatically improves diagnostic efficiency.

Skills matching: Sending a technician who lacks the skills or certifications for a job type produces a first visit that cannot resolve the problem. Skills-based dispatch — routing jobs only to technicians qualified to complete them — is one of the highest-leverage changes for FTFR.

Diagnostic accuracy: Some issues genuinely require a first visit to diagnose before parts can be ordered. Tracking diagnose-first jobs separately from "should have been fixed" callbacks helps identify where the real problem lies.

Industry Benchmarks

Below 70%: Significant operational issues — skills mismatches, poor inventory management, or inadequate pre-job intake
70–80%: Industry average; common in growing operations without dedicated parts management
80–87%: Above average; typically operations with truck stock tracking and skills-based dispatch
Above 87%: Top quartile; usually have all four drivers (parts, pre-job info, skills, diagnostics) systematically managed

Key Features to Look For (in FSM Software)

FTFR reporting by technician and job type — Aggregate numbers hide where the problem actually lives.

Parts usage tracking per job — Links inventory management to FTFR improvement.

Skills-based dispatch — Ensures technicians are matched to jobs they can complete.

Pre-visit job details for technicians — Equipment history and customer notes delivered to the technician's phone before arrival.

Return trip classification — The ability to mark follow-up jobs as FTFR callbacks vs. new issues discovered during the original visit.

FAQ

What's an acceptable first-time fix rate?

Industry averages sit around 74–76%. Anything above 80% is solid; above 87% puts you in the top quartile. The right target for your business depends on your job mix — highly complex diagnostic work naturally produces lower FTFR than routine maintenance. The more important metric is the trend: is your rate improving month over month?

Should FTFR be tracked per technician?

Yes, with context. A technician handling more complex and emergency calls will naturally have a lower FTFR than one handling routine maintenance. Tracking FTFR by job type and technician simultaneously reveals whether variation is driven by skills gaps, inventory issues, or job mix.

How does first-time fix rate relate to customer satisfaction scores?

They're strongly correlated. Research across the field service industry consistently finds that customers whose issues are resolved on the first visit rate their satisfaction 15–25 percentage points higher than those requiring a return visit. FTFR is one of the strongest predictors of review scores and repeat booking rates.

Related Resources

Track first-time fix rate and all your field service KPIs in one dashboard. Start your 14-day free trial — no credit card required.

What is First-Time Fix Rate? The KPI That Matters Most