Every payroll run, you buy roughly 40 hours per technician. The number that decides whether your shop makes money is how many of those hours a customer actually paid for. Across most 3-to-15-truck operations, the honest answer is a little more than half, and the owner is usually the last to know, because the missing hours never appear anywhere. They dissolve into drive time, supply-house runs, callbacks, and the dead 40 minutes between a job that ran short and the next one across town.
Technician utilization rate turns that invisible loss into one number you can track weekly. Here is the formula, the benchmarks that are actually honest, and then the part most advice skips: a where-the-hours-go audit, with a fix and a dollar figure attached to each bucket.
The formula, computed on real payroll hours
Utilization is billable hours divided by paid hours. That is the whole formula. The trap is the denominator.
The flattering version of this metric divides job hours by an ideal eight-hour day and quietly ignores overtime, the 7:15 shop huddle, the training morning, and the Friday that ended at 3. Compute it on real payroll hours instead: every hour you actually paid for, overtime included. If a tech's timesheet shows 44 paid hours and 25 of them landed on jobs you invoiced, utilization is 57% - not the 75% the schedule board implied.
Run it per tech and as a shop average, every month. Put it next to revenue per truck: utilization tells you how much of the capacity you bought actually got sold, and revenue per truck tells you what you sold it for. The two field service KPIs together catch problems that either one alone hides.
An honest benchmark ladder
One number is missing from that ladder on purpose. Sustained 85% and above is not excellence - it is burnout territory. A schedule with zero slack has no room for the emergency call that carries your best margins, no time for training or truck maintenance, and no recovery time for the techs themselves.
Windshield time is the biggest thief
For most shops the largest non-billable bucket is drive time. Some of it is geography, and you cannot fix geography. But when driving eats more than roughly a quarter of a tech's day, you do not have a geography problem - you have a routing problem. Jobs booked in whatever order the phone rang, techs crisscrossing the service area, the 8 AM in the north end followed by the 10 AM in the south.
Route optimization - sequencing jobs by location and time window instead of booking order - typically cuts drive time 15-20%. Here is what that is worth. Take a 4-truck shop where techs average two hours a day behind the wheel, a quarter of an eight-hour day. A 20% cut returns 24 minutes per tech per day. Across four trucks that is 1.6 tech-hours a day, roughly 400 hours over 250 working days a year. At a $150-per-hour effective billable rate, that is $60,000 a year in recaptured billable capacity, without hiring anyone or buying a truck.
Rerun that math with your own drive-time average and billable rate. The answer is rarely under five figures.
Parts runs, waiting, and the gaps between jobs
Drive time is the biggest single bucket, but the smaller leaks routinely add up to a second technician's worth of hours across a fleet. Each one has a known fix.
- Parts runs. A supply-house trip costs 45 to 90 minutes door to door, and most trips are predictable. Pull six months of job history, find the 30 or so parts that cover the bulk of your work, and stock every truck with them. Stage known parts the night before for scheduled jobs, and have the supplier deliver to the site for anything large.
- Waiting on site. Customer not home, no gate code, nobody with authority to approve the work. A confirmation text the day before that asks for access details and a decision-maker on site turns a 40-minute wait into a two-minute walk-in.
- Schedule gaps. Booking into rough half-day windows leaves 30-to-60-minute orphan gaps: too short to start the next job, too long to be a break. Tighter duration estimates built from your own job history shrink the gaps, and nearby maintenance-agreement visits are the perfect filler for the ones that remain.
Callbacks kill the same hour twice
First-time fix rate is utilization's quiet partner. The industry hovers near 80%, which means roughly one job in five needs a second visit. Every callback destroys a billable slot twice: once when the tech runs the return trip free under warranty, and again because that return visit occupies a future slot you would have sold to new work. On a utilization report, a callback hour looks billable and produces zero revenue - the most deceptive kind of lost hour there is.
The fixes live at booking and in the truck. Collect the equipment model number and a photo when the job is booked, so the right tech shows up with the right parts. Keep truck stock aligned with your actual job mix. Use a close-out checklist so a job is not marked done until the repair is tested. In a shop running 12 jobs a day, moving first-time fix from 80% to 88% hands back roughly one full billable slot every single day.
Run the one-week audit
You do not need new software or a consultant to find your own numbers. For one week, log every paid hour for every tech into four buckets. Timesheets plus vehicle GPS history will get you close enough to act.
- Billable. Hours on jobs that produced an invoice, including diagnostic time you charge for.
- Driving. Everything behind the wheel, including the first and last legs if you pay for them.
- Parts and waiting. Supply-house runs, waiting for access, waiting on approvals.
- Gaps. Paid time with no job attached: schedule holes, early finishes, shop time that is not stocking or training.
The fix priority falls straight out of the data: attack the biggest bucket first. If driving dominates, fix routing before you touch anything else. If parts and waiting dominate, fix truck stock and confirmations. Then recheck the same four buckets a month after each change, because utilization is a number you manage, not a number you discover once.
Most owners who run this audit find eight to twelve non-billable hours per tech per week that nobody had ever priced. Now you have. That is the whole point.
Frequently asked questions
For a 3-to-15-tech shop, 55-60% is about average, 65-70% is good, and 75-80% puts you among top performers. Treat sustained 85% or higher as a warning sign rather than a goal - it usually means zero slack for emergency work or training, and it leads to burnout and turnover.
Divide invoiced billable hours by total paid hours straight from payroll, overtime included. If a tech was paid for 44 hours and 25 of them were on invoiced work, utilization is 57%. Using scheduled hours or an ideal 40-hour week inflates the number and hides the exact problem you are trying to find.
Drive time belongs in the denominator because you pay for it, but not in the numerator unless you bill for travel. That is exactly why windshield time drags utilization down, and why cutting drive time 15-20% with route optimization moves the number faster than almost any other fix.
A 4-truck shop where techs drive two hours a day recaptures roughly 400 tech-hours a year from a 20% drive-time cut - about $60,000 in billable capacity at a $150-per-hour rate. Rerun the math with your own drive-time average and rate; shops covering larger territories often find more.