A tech losing 15–45 minutes per RO to lookup isn’t a training problem — it’s a line item. Multiply that across a team and a year, and it stops looking like normal shop friction and starts looking like a number worth calculating on purpose. Here’s the formula, worked out for real shop sizes, and what it takes to cover the cost of fixing it.
The Gap Between Clocked Hours and Billed Hours
A tech clocking eight hours doesn’t bill eight hours — waiting on parts, diagnostic time that can’t be billed to the customer, and general shop friction all eat into that gap before lookup time even enters the picture. Lookup time is the part of that gap that’s fully within a shop’s control, because it isn’t caused by parts availability or diagnosis difficulty — it’s caused by how long it takes to get from “I need this spec” to having it in hand.
That gap is well-documented at the industry level: technicians commonly spend 15–45 minutes per repair order navigating menus, cross-referencing PDFs, and confirming they’ve landed on the right procedure for the exact year, engine, and trim. None of that time gets billed to the customer. All of it gets clocked.
The Formula: What Search Friction Actually Costs
The math is straightforward — it just isn’t usually written down:
Unbilled cost = (Techs) × (ROs/day) × (Minutes lost to lookup/RO) × (Labor rate ÷ 60) × (Working days)
Here’s what that looks like with conservative, documented inputs: a tech running roughly 4 ROs a day, losing just the low end of the documented range — 15 minutes per RO — at an $89/hour labor rate (the same standard MOTOR’s own labor guides use):
- 15 min × 4 ROs = 60 minutes lost per tech, per day
- 60 minutes at $89/hour = ~$89 in unbilled time per tech, per day
- Over roughly 21 working days a month = ~$1,869 per tech, per month
Scaled across a team:
| Shop size | Monthly unbilled cost (illustrative) | Annual |
|---|---|---|
| 3 techs | ~$5,600 | ~$67,000 |
| 5 techs | ~$9,345 | ~$112,000 |
| 10 techs | ~$18,690 | ~$224,000 |
These numbers use conservative, labeled assumptions — the low end of the documented lookup-time range, a moderate RO throughput, and MOTOR’s standard labor rate. A shop running more ROs per day, or losing closer to the higher end of the 15–45 minute range, will see a bigger number. This is meant as a formula to run with your own numbers, not a fixed industry statistic.
Database Access vs. Answer Access: Where the Time Actually Goes
The formula above assumes lookup time is fixed — but it isn’t fixed, it’s a product of how the tool works. There’s a real difference between navigating an OEM database to find a page and asking a direct question and getting the answer back, cited.
That gap isn’t theoretical. For wiring diagrams specifically, it’s documented at roughly 45 minutes tracing a circuit manually versus 30 seconds getting the OEM diagram returned directly for the exact vehicle. Not every lookup carries that exact ratio, but the direction — minutes down to seconds — holds across the 12 categories of OEM data a tech might be pulling from on a given RO.
The ROI Math: What It Takes to Cover the Cost
This is the part that usually settles the decision. Take the 5-tech shop example above: roughly $9,345/month in estimated unbilled lookup time. Business tier is $149/month, flat, covering up to 10 technicians — no per-seat fee as the team grows.
Recovering even a small fraction of that estimated unbilled time already clears the subscription cost:
| Time recovered | Value at $89/hr, 5 techs | vs. $149/mo Business cost |
|---|---|---|
| 10% of estimated loss | ~$935/mo | Covers cost ~6x over |
| 25% of estimated loss | ~$2,336/mo | Covers cost ~16x over |
| 50% of estimated loss | ~$4,673/mo | Covers cost ~31x over |
This isn’t a claim that Jayda recovers a specific percentage of lookup time for every shop — actual results depend on how a shop’s current lookup process compares to asking a direct question. It’s a way to see how little recovered time it actually takes for the math to clear the plan cost, given how small $149/month is relative to the estimated loss above.
Where the Recovered Time Comes From
The time savings in the math above trace back to specific, real differences in how a lookup works:
- Typed natural-language queries instead of menu navigation — asking the way you’d actually describe the problem, not the manufacturer’s internal category structure
- VIN-matched answers — the vehicle is matched by year, make, model, and engine before an answer comes back, so there’s no cross-checking whether the result matches the right trim
- Source-cited results — every answer shows where it came from, so verifying it takes seconds instead of re-reading a full page
- One system across all 12 OEM data categories — no separate navigation path for torque specs versus wiring diagrams versus TSBs
What to Do With This Math at Your Shop
Run the formula with your own numbers — actual tech count, actual RO volume, and your shop’s real labor rate — rather than the illustrative figures above. Even a rough estimate is usually enough to see whether the math is worth acting on, and the plan cost is small enough relative to the potential loss that it doesn’t take a large recovery to justify testing it on real jobs.
Frequently Asked Questions
Is the 15–45 minute range accurate for every shop? It’s a documented range, not a fixed number — some shops lose less, some lose more, depending on current tools and how familiar techs are with the software’s layout. The formula is built to be run with a shop’s actual numbers, not the range alone.
Does this ROI math assume a specific Jayda plan? The example uses Business tier’s $149/month flat rate because it’s built for a full team, but the same formula works against Pro Tech or Master Tech pricing for a smaller operation.
How is this different from just buying shop management software? Shop management tools (invoicing, scheduling, customer communication) solve a different bottleneck — the admin side of the day, not the technical lookup time a tech spends mid-repair. This math is specifically about the latter.
Can I verify these numbers before committing? That’s the point of running the formula with a shop’s real RO count and labor rate before deciding, and testing it against a free trial rather than taking the illustrative math as guaranteed for a specific shop.
Curious what the math looks like for your team? Contact us to walk through Business, or start a free trial and time your next lookup against what the formula above assumes.
