thrivve-mc-when - Monte Carlo completion date forecasting
Forecast completion dates using Monte Carlo simulation based on historical throughput data
Tags
Updated: 2026-03-26Capabilities
Typical Inputs
Typical Outputs
What this skill does
- run Monte Carlo simulation
- calculate completion dates
- analyze throughput data
- check process variation
- generate percentile forecasts
- validate input data
Inputs
- historical throughput data
- stories remaining count
- confidence level
- start date
Outputs
- completion date forecast
- percentile breakdown
- statistical summary
- process variation report
- JSON structured output
Requirements
- Python runtime environment
- scripts/thrivve-mc-when.py script
- minimum 10 days throughput data