WFMPro · ROI model
Workforce management pays for itself in coverage, overtime, attrition and planner time — or it doesn't. This builds the arithmetic in front of you so you can see which lever is actually carrying the case.
Back to WFMProBefore you start
Each one is a single multiplication. You enter your operation once, then set how much of each lever you think is available to you — and the model shows which one is actually carrying the case.
Lever 01
Agents × cost per agent × the share you expect to recover
Lever 02
Your overtime spend × the share you expect to avoid
Lever 03
Agents × attrition rate × cost to replace one × your relative reduction
Lever 04
Planners × cost × manual share of their time × the share you automate
Step 1
Everyone whose time you schedule.
Fully loaded: salary plus on-costs.
Premium hours. Enter 0 if you don't run overtime.
Leavers as a share of headcount.
Recruitment, onboarding, time to competence.
People building forecasts, schedules, reports.
Fully loaded, same basis as the agent figure.
Spreadsheets, rekeying, assembling reports.
Step 2
Each lever says what WFMPro does, the arithmetic it feeds, and what it is worth on your figures. The percentages are yours to set — we have not measured them for you.
$110,00065% of the total
Interval-level forecasting with Erlang-C staffing, and an optimizer that builds the roster against your rules — so paid hours sit where demand actually is instead of where last month's template put them.
Agents × cost per agent × the share you expect to recover
See Forecasting & demand in WFMProThis is the largest number on the page because it multiplies your whole payroll. A fraction of a percent is a real result here, so start low.
$27,00016% of the total
Live coverage and adherence monitoring raises the gap as an alert, and a VTO and overtime marketplace fills it from agents who want the hours — before it becomes premium time bought at short notice.
Your overtime spend × the share you expect to avoid
See Real-time & agentic operations in WFMProOnly counts the overtime you buy to cover a gap that was foreseeable. Overtime driven by genuine demand spikes stays.
$13,1258% of the total
Native mobile self-service, rule-checked swaps and time-off, and a fairness objective that spreads nights and weekends rather than landing them on the same people every month.
Agents × attrition rate × cost to replace one × your relative reduction
See Agent experience & engagement in WFMProRelative, not percentage points: 5% of a 30% attrition rate is 1.5 points. Schedule quality is one driver among many, so be conservative here.
$20,25012% of the total
Auto-scheduling, a report composer your team drives themselves, and scheduled delivery — instead of rebuilding the same spreadsheet and the same pack every week.
Planners × cost × manual share of their time × the share you automate
See Reporting & analytics in WFMProA saving only if that capacity is redeployed to analysis or avoids a hire. If the time just disappears, set this to 0.
How this is calculated
Nothing here is hidden. Each line is one multiplication, and you set every percentage in it.
This is a model, not a forecast, a benchmark or a commitment. The defaults are conservative starting points we chose to be edited, not results measured in production — change every one of them to your own figures. It deliberately leaves out revenue and service-level effects, which depend on far more than workforce management. Platform cost is only included if you enter it from your own proposal; we don't publish pricing. Nothing you type is sent anywhere — the calculation runs entirely in your browser.
Bring your own figures and we'll model it properly against your baseline — including the parts a calculator can't capture.
