Know your staffing gap before it becomes an operational problem.
Forecast demand, calculate effective workforce capacity, compare scenarios and turn staffing data into clear management decisions — without the complexity of enterprise WFM suites.
Customer Operations
One decision layer between raw workforce data and management action.
The MVP stays deliberately focused on the expensive question: Do we have enough effective capacity for expected demand?
Demand planning
Model workload volume, average handling or effort time, growth and operating assumptions.
Capacity model
Translate headcount into effective FTE using contracted hours, shrinkage, absence and utilization.
Gap analysis
See required versus available capacity and quantify the staffing gap before service levels deteriorate.
Scenario planning
Compare hiring, productivity, absence and demand-growth scenarios before committing operational spend.
Management dashboard
Convert calculations into an executive view that can be understood without a WFM specialist in the room.
Decision recommendations
Surface the operational levers with the strongest impact rather than stopping at a calculator output.
Interactive MVP prototype
Change the assumptions below. The prototype recalculates effective workforce capacity, staffing requirements and the primary management signal instantly.
Planning assumptions
Capacity result
Pricing hypothesis to validate
These are launch hypotheses, not fixed truth. Real customer interviews and conversion data should determine final pricing.
Professional
- Multiple teams
- Advanced scenarios
- Saved plans
- Exports & reporting
- Team collaboration
Business
- Multi-site planning
- Custom assumptions
- Implementation support
- Management reporting
- Priority support
Frequently asked questions
Is this employee scheduling software?
No. The initial product focuses on strategic and tactical capacity planning: demand, effective workforce capacity, gaps and scenarios. Scheduling may be considered later only if customer evidence supports it.
Who is the first target customer?
Operations teams that are too complex for ad-hoc spreadsheets but do not need or cannot justify a full enterprise WFM implementation.
Does the MVP need AI?
No. The first version should win through better decision logic and workflow. AI should be added only where it materially improves forecasting, explanations or recommendations.
What data would be needed?
At minimum: workload volume, effort or handling time, current workforce, contractual hours, shrinkage, absence and target utilization. Later versions can ingest historical data automatically.
Build the smallest product that proves the biggest business assumption.
The first commercial milestone is not “finish the platform.” It is proving that operations managers will repeatedly pay for clearer workforce-capacity decisions.