Feature
Forecasting
Monte Carlo simulations with P10–P95 confidence intervals, scope-based and empirical modes.
Replace gut-feel estimates with probability-weighted delivery forecasts. CohesionXL runs Monte Carlo simulations against your scope, capacity, and historical velocity data to produce P10 through P95 confidence intervals. Choose scope-based mode when you know the work breakdown, or empirical mode when you have throughput history. A built-in data quality score tells you how much to trust the forecast — so you never over-promise on shaky inputs.
Key Capabilities
- Monte Carlo simulations with configurable run counts
- P10, P50, P75, and P95 confidence intervals
- Scope-based forecasting from work breakdown estimates
- Empirical mode using historical throughput data
- Data quality scoring for forecast confidence
- Per-initiative and portfolio-level forecasts
- Forecast comparison across scenarios
Related Features
Scenario Planning
What-if modeling with drag-and-drop priority ranking, allocation management, and scenario comparison.
Capacity & Resource Management
Employee skills, availability calendars, PTO tracking, utilization dashboards, and auto-allocate.
Initiative Management
Structured lifecycle from intake to delivery with health tracking, CSV import/export, and bulk operations.
See this in action
Book a walkthrough and see how CohesionXL fits your planning process.