AI & Intelligence
Monte Carlo Forecasting
Probabilistic delivery date estimation.
Monte Carlo Forecasting
How It Works
Runs 100-5000 simulations using PERT distribution sampling to estimate delivery dates.
Reading the Results
- P50: 50% confidence date (median)
- P80: 80% confidence date (recommended for planning)
- P95: 95% confidence date (conservative)
S-Curve
The S-curve chart shows the cumulative probability of completing by each date.
Historical Calibration
When historical velocity data is available, estimates are calibrated against actual team performance.
Tags
monte carloforecastprobabilitydelivery
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