The cost side of a workforce-software decision is easy to state precisely — a per-user monthly fee, discussed elsewhere in this section, multiplied by a team size. The return side is genuinely harder to pin down, because it's usually distributed across several smaller effects rather than concentrated in one easily measured number, which makes ROI estimation for this category more a matter of reasonable approximation than precise calculation.
Where the return typically comes from, broken into its actual components
Reduced billing leakage, for organizations that bill time to clients: time worked but never logged, or logged inaccurately, is revenue that was earned but never invoiced, and even a small improvement in capture accuracy can represent a meaningful, calculable recovery for a billable-hours business, discussed in the agencies guide in this site's Solutions section. Reduced administrative time: manual timesheet reconciliation, payroll preparation, and report generation all take real staff time that automated capture and export, discussed on the product side of this site, directly reduces. Better staffing decisions: schedule and attendance data that actually informs the next schedule, discussed in the scheduling guide on the product side of this site, tends to reduce both overstaffing (a real, calculable cost) and understaffing (a real, if harder to calculate, cost in service quality or overtime). An additional walkthrough is available the additional context.
A worked example, to make the estimation concrete
Consider a twenty-person consultancy currently capturing time in a shared spreadsheet, billing an average rate of $150 per hour, and conservatively estimated to be under-capturing about three percent of actual billable time due to end-of-week reconstruction gaps — a modest, plausible figure given the reconstruction-accuracy problem discussed in the migrating-from-spreadsheets guide elsewhere in this section. At roughly 1,700 billable hours per person per year, three percent of unrecorded time per person is about fifty-one hours, or roughly $7,650 in unbilled revenue per person annually — over $150,000 across a twenty-person team, well above the annual cost of a dedicated tool at typical per-user pricing in this category. This is a single, deliberately conservative component of the full ROI picture, not including the separate, harder-to-quantify savings from reduced administrative reconciliation time or improved staffing decisions. Readers can compare this approach with guidance from BLS productivity data.
Why a conservative estimate is more persuasive than an optimistic one
When presenting an ROI estimate internally to justify a purchasing decision, a deliberately conservative set of assumptions — a modest capture-improvement percentage, a cautious estimate of administrative time saved — tends to be more persuasive to a skeptical decision-maker than an optimistic estimate built from best-case assumptions, precisely because a conservative estimate that still shows a clear positive return is harder to argue with than an aggressive one that invites scrutiny of every underlying assumption. Building the estimate from your own organization's actual numbers, rather than an industry-average figure borrowed from a vendor's marketing material, strengthens this further. A widely used reference point is McKinsey people and organization insights.
- For billable-hours businesses: estimate the return from even a small improvement in logged-versus-actual billable time, since this is usually the largest, most directly calculable component.
- For any team: estimate the administrative hours currently spent on manual timesheet reconciliation and reporting, and what a meaningful reduction in that time is worth at current staff cost.
- Factor in reduced overstaffing or understaffing from better-informed scheduling, discussed in the scheduling guide on the product side of this site — harder to calculate precisely, but often a larger effect than the more easily quantified components.
- Be appropriately skeptical of any vendor's own generic ROI claims not grounded in your organization's specific numbers — a credible estimate is built from your own billing, staffing, and administrative-time figures, not borrowed from an industry-wide average.
- Work through a concrete, deliberately conservative worked example using your own team size, average rate, and a modest estimated capture-improvement percentage — a specific number is more persuasive internally than an abstract claim.
- Present the estimate with its underlying assumptions stated explicitly, so a skeptical reviewer can see exactly what the return depends on, rather than presenting only a final number without its supporting reasoning.
Building this estimate from your own specific numbers — billing leakage, administrative hours, staffing patterns — rather than a generic industry claim is worth the extra effort, since the actual return varies significantly by how much of the underlying problem (manual tracking, inconsistent scheduling) an organization currently has to begin with.