How it is computed
Take the hours the technician flagged (billed) in the period. Divide by the hours the technician was clocked on repair orders in the same period. Express it as a whole percent. It needs two sources: the repair-order feed for flagged hours and the timekeeping system for clocked hours.
Why it matters
It is the measure of skill and of the shop's dispatch. A strong technician on the wrong jobs posts low efficiency; a fair technician on the right jobs posts high efficiency.
It is half of the shop's capacity. Efficiency and productivity together say whether the building can produce more hours without another bay or another hire.
How operators read it
- Never read it without productivity beside it. A technician at one hundred thirty percent efficiency who is clocked on cars for five hours a day is being starved of work; the fix is dispatch, not training.
- Read it by pay type. Warranty time guides are tighter than customer-pay, so a warranty-heavy technician will post a different number for reasons of mix.
- Look at the spread, not the average. The gap between the top and bottom of the shop is usually larger than any gap between the shop and a target.
Questions people ask
What is the difference between efficiency and productivity?
Efficiency is flagged hours over clocked hours: how fast the work gets done once the technician is on it. Productivity is clocked hours over attendance hours: how much of the day the technician spends on cars at all. A shop can be high on one and low on the other.
Can efficiency be over one hundred percent?
Yes, and it often is for an experienced technician on familiar work. It means the technician finished in less time than the guide allows.
How A.D.A.M. reads it
A.D.A.M. computes technician efficiency as flagged hours over clocked hours and productivity as clocked hours over attendance, each as a whole percent, from the repair-order feed joined to the timekeeping days. He reads it beside the numbers it trades against, names what the gap is worth, and leaves the decision where it belongs. What an AI advisor should do, and refuse to do.