Key Takeaways
- Payroll inaccuracies add 1.5% to 5% to gross payroll, enough to consume most or all of a contractor’s net margin
- In conversations with nearly 280 mid-market contractors, we found that 65% still rely on paper time cards as their primary time capture method
- 55% of contractors lack any verification of on-site hours
- The problem is not worker dishonesty, but a data capture failure that compounds through five predictable channels
Ask most contractors if unverified time is costing them money. They’ll say yes. Ask them to put a number on it. You’ll get a shrug.
That gap is what this piece is about. Everyone knows the honour system leaks money. The question is how much, and through which channels.
Over the past year, we talked to nearly 280 mid-market contractors about how they track time. What we found lines up with what industry research has been saying for years: unverified time tracking is expensive. Payroll inaccuracies add between 1.5% and 5% to gross payroll across industries that rely on manual or unverified time entry, per American Payroll Association data cited by TimeDock. Construction net margins run 3% to 7%, according to the Construction Financial Management Association. For many contractors, that overlap eats the entire margin.
Sixty-five percent of the contractors we spoke with still use paper time cards. Fifty-five percent lack proof of on-site presence. This is not a problem confined to a single market. The mechanisms of loss are consistent across geographies, and they run through five identifiable channels.
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Rounding and Estimation Drift
The most common source of time inflation is estimation.
“People like to round,” one mechanical contractor told us. He had compared timesheets with site access logs. “One of them was off by 20 to 30 percent.”
When crews fill out timesheets at the end of the day, or at the end of the week, they’re reconstructing time from memory. Memory favors round numbers, so a 6:47 arrival gets written down as 6:30, and a 3:18 departure becomes 3:30.
A recurring 10 to 15-minute shift at the start and end of each day adds up to roughly 125 hours per worker per year. At mid-market labour rates, that’s $3,500 to $5,000 per employee. Scale that across a 25-person crew and the annual cost reaches $125,000.
Most contractors we talk to have the same reaction. They don’t doubt their crews. They’ve just never measured the gap.
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Shared Clock-Ins and Proxy Entry
On active sites, supervisors often clock in entire teams at once to keep things moving. This collapses individual arrival times into a single recorded event.
“They punch everyone in at 7,” a paving contractor told us. In reality, workers trickled in over the next half hour. The timesheet showed uniform arrival, but the actual distribution was staggered.
Site access delays, staggered starts, and equipment mobilisation all introduce variation that proxy entry cannot capture.
Among the contractors we engaged, 55% reported having no verified proof of on-site hours. In these conditions, discrepancies remain invisible unless independently validated. A system that allows one individual to record time for many cannot distinguish between workers who arrived together and those who did not.
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Unclear Clock-In Boundaries
Mobile time tracking apps let workers clock in from anywhere. This creates ambiguity about what a clock-in actually represents. Does time start at departure, arrival, or when productive work begins? Most apps don’t enforce a definition.
“Guys are clocking out while they’re driving, 20 miles from the job,” one HVAC contractor told us. Another put it directly: “I want it to clock in when they get to the site, not from home.” In both cases, the mobile app recorded a valid entry. The problem was not the app’s function but what it was permitted to count.
The cost adds up. On a project with a one-hour commute and a crew of 20, a 15-minute boundary misalignment per worker per day produces approximately 25 hours of payroll variance per week. Over the course of a project, this becomes a material cost that standard time records cannot resolve without location verification.
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Memory-Based Job Allocation
The same reliance on retrospective input affects how time is allocated across projects. Contractors managing multiple jobs require workers to assign hours after the work has been completed, often without a real-time record of where time was spent. This was consistently described as an approximation rather than a precise allocation.
Job costing takes the hit. One general contractor told us: “I operate under the assumption the hours are inflated. We’re on the honour system and that just can’t fly anymore.” Another estimated the accumulated impact directly: “Five to ten minutes here adds up to maybe 8 hours a week. Roughly $5K.” That figure represented a single crew. Most contractors we spoke with were running several simultaneously.
As Nic De Bonis, Co-Founder of Workyard, notes, “The problem is that systems ask people to remember something that happened hours ago. That’s a data capture problem, not a people problem.”
Hours don’t go missing; instead, they get misallocated. Costs shift between projects, distorting both performance and profitability. For contractors operating across multiple active jobs, this introduces cumulative error into project-level reporting.
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Administrative Overhead and Double Entry
Time data moves through multiple systems before reaching payroll, and each step requires manual input.
One contractor put the process this way: “basically double entry for everything,” while another said he was “hand-typing everything into Sage.” These workflows introduce both direct cost and repeated opportunities for error.
The volume is consistent with what contractors told us. “Friday stacks of paper cards are a nightmare,” one roofing contractor said. Another called the weekly cycle “a giant puzzle of handwritten timesheets.” The administrative burden is built into the system. Every paper card that arrives at the office requires interpretation before it can be entered, and every entry made under time pressure is a point where accuracy is traded for speed.
One contractor estimated annual expenditure between $100,000 and $150,000 attributable to reprocessing time data. Beyond cost, each transfer point degrades data integrity. Approximately 45% of contractors reported double-entry friction between time tracking and payroll systems.
By the time the data reaches payroll, it has been handled multiple times, with each step introducing interpretation rather than improving accuracy.
Two Distinct Problems; Two Distinct Fixes
Data quality and verification are separate problems that require separate fixes.
Paper time cards create data quality problems: workers estimate hours after the fact, data gets lost, handwriting is illegible. The timesheet might reflect good-faith effort, but it’s still inaccurate.
Verification is a different issue. Everyone’s timesheet looks the same, whether they arrived at 6:45 or 7:15, and there’s no way to tell the difference. Several contractors told us discrepancies only surfaced when they compared time records against site access logs or project timelines.
Data quality improves when workers clock in and out as events happen, not from memory. Verification improves with GPS or geofencing. Treating them as one problem leads to solutions that close one gap while leaving the other open.
What Changes When Time Is Verified
The shift involves real-time capture, location confirmation, and direct payroll integration. Time gets recorded when work happens rather than reconstructed later. Location data confirms that recorded hours match actual site presence. The data flows into payroll without manual re-entry.
Contractors who made this shift told us it wasn’t complicated to implement.
“I want them only able to clock in within that area,” one electrical contractor told us. Geofencing removes ambiguity by making the boundary a system setting rather than a policy to enforce.
On the job management side, direct payroll integration eliminates the Friday re-entry scramble. The rework disappears because the manual transfer disappears.
These changes do not eliminate variance. They make it visible and measurable. Recorded time is no longer accepted at face value, but evaluated against when and where work occurred.
The Bottom Line
Labour is the largest controllable cost in construction. Small inaccuracies, repeated across crews and payroll cycles, compound fast.
Contractors who started verifying time found that variances they had blamed on productivity were actually recording errors. Once they could see when and where hours were logged, they could distinguish between slow crews and bad data.
Better measurement fixes this, not more oversight.
GPS-verified time tracking, from providers like Workyard and others, gives contractors data they can trust for job costing, payroll, and compliance. Most contractors don’t measure what unverified time costs them. The ones who do are often surprised by the size of the gap.
