What it means
A service shop opens a repair order, or RO, for a vehicle visit, which may contain several labour operations and parts, and hours per RO divides billed labour hours by the number of relevant orders. An industry slide guide states the calculation as service labour hours billed divided by labour repair orders.
Some shops distinguish customer-pay, warranty and internal jobs, so define the population first. A fictional workshop bills 240 labour hours across 120 closed ROs, so its average is 2 hours per order, which does not mean every job took exactly two hours.
Billed hours can differ from actual clock hours, since standard labour guides may allow a set number of hours for an operation, so technician efficiency needs a separate calculation. A fictional technician who completes a billed two-hour job in 90 minutes still contributes two hours to this KPI, with the actual time belonging in a technician metric.
A high figure can indicate more complex work, better inspection or a different customer mix, but it can also signal unnecessary charges, so review quality and customer trust alongside sales. A fictional shop's hours per RO jump after it begins major engine repairs, a change that may reflect job mix and not advisor performance.
A low figure can reflect quick maintenance visits, missed legitimate work or under-recording, so diagnose first and never tell staff to add labour merely to raise a target. Compare like with like, because a fictional tyre shop that handles many short visits will show a lower average than a collision repair shop, and comparing them directly would be misleading.
Separate labour from parts revenue, since an order with expensive parts and little labour can have high ticket value but low hours per RO, as when a customer buys a costly replacement battery that takes little time to fit. Billed labour hours also interact with effective labour rate, so a shop that sells three hours at a heavy discount may earn less gross profit than one selling two at the normal rate.
Closed orders are usually a clean denominator for a period, and mixing open jobs with billed hours from completed work can distort the average. A fictional manager who counts 100 open and closed jobs but bills from only 80 closed jobs understates the completed-order figure until the dashboard is corrected.
Returns and rework need care as well, since a comeback order may generate technician time but no legitimate customer charge, and a fictional warranty repair is recorded and costed without billing the customer twice. Track the metric over time by service type, because a shift toward maintenance, fleet or warranty jobs can change it, as when a fictional dealer's blended average falls after a fleet oil-change contract while its customer-pay average remains stable.
Use a consistent source from the shop-management system and reconcile exceptions, identifying voided orders, internal repairs and no-charge work, because a clean denominator is as important as the numerator. Sales advisers should present necessary findings with evidence and approval, so that hours per repair order helps explain workshop revenue and workload and drives better diagnosis, never invented labour charges.
In practice
Real-world examples.
Example
A workshop bills 240 hours over 120 completed orders.
Example
A warranty job is reported separately from customer-pay work.
Example
A quick tyre service lowers a blended average.
Formula
Calculation
Hours per RO = eligible billed labour hours / eligible completed repair orders in the same period.
For the workshop above, 240 hours / 120 orders = 2.0 hours per order. Segmenting shows more. If customer-pay repairs account for 150 hours across 50 orders, they average 150 / 50 = 3.0 hours per order, while fleet oil changes account for 90 hours across 70 orders, an average of 90 / 70 = about 1.29. The blended figure of 2.0 hides both, which is why the segments should be reported alongside it.Case study
Seen in the real world.
In this fictional case, Alder Auto reports a falling blended hours-per-RO figure. It recently added a high-volume fleet maintenance contract. The manager separates maintenance from complex repairs and checks rework.
The segmented data shows the change came from job mix, not missed sales. Alder then set a rule that its monthly dashboard would always show customer-pay, warranty and fleet segments side by side. The service director stopped setting a single hours target for every advisor, and instead agreed segment targets that matched the type of work each advisor handled.
Watch out
Common mistakes.
- Using clock hours as if they were billed hours.
- Mixing open and closed order populations.
- Raising the metric by charging unneeded labour.
Questions
People also ask.
Is it technician efficiency?
No. It measures billed work per order, not actual time efficiency.
Should warranty work count?
Define and report the chosen category consistently.
Is higher always better?
No. Job mix, quality and customer trust matter.
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