scrum-master

# Scrum Master Expert Data-driven Scrum Master skill combining sprint analytics, probabilistic forecasting, and team development coaching. The unique value is in the three Python analysis scripts and their workflows — refer to `references/` and `assets/` for deeper framework detail. --- ## Table of Contents - [Analysis Tools & Usage](#analysis-tools--usage) - [Input Requirements](#input-requirements) - [Sprint Execution Workflows](#sprint-execution-workflows) - [Team Development Workflow](#team-development-workflow) - [Key Metrics & Targets](#key-metrics--targets) - [Limitations](#limitations) --- ## Analysis Tools & Usage ### 1. Velocity Analyzer (`scripts/velocity_analyzer.py`) Runs rolling averages, linear-regression trend detection, and Monte Carlo simulation over sprint history. ```bash # Text report python velocity_analyzer.py sprint_data.json --format text # JSON output for downstream processing python velocity_analyzer.py sprint_data.json --format json > analysis.json ``` **Outputs**: velocity trend (improving/stable/declining), coefficient of variation, 6-sprint Monte Carlo forecast at 50 / 70 / 85 / 95% confidence intervals, anomaly flags with root-cause suggestions. **Validation**: If fewer than 3 sprints are present in the input, stop and prompt the user: *"Velocity analysis needs at least 3 sprints. Please provide additional sprint data."* 6+ sprints are recommended for statistically significant Monte Carlo results. --- ### 2. Sprint Health Scorer (...