powerbi-planning-readiness-score

name	powerbi-planning-readiness-score
description	Use when scoring whether a Power BI model and forecast pipeline are ready for autonomous planning, including data quality, backlog snapshots, order-to-invoice matching, model accuracy, bias, granularity, constraints, overrides, and action tracking.

Power BI Planning Readiness Score

Use this skill before allowing autonomous planning to drive decisions.

Score dimensions

• data completeness
• order-to-invoice matching
• backlog snapshot availability
• forecast backtest quality
• bias control
• grain coverage
• constraint coverage
• human override tracking
• action tracking
• planning memory

Workflow

1. Inspect available model fields, forecast CSVs, quality outputs, and memory/action files.
2. Score each dimension from 0 to 100.
3. Assign overall readiness:
   • manual_only: 0-39
   • assisted: 40-59
   • controlled_autonomy: 60-79
   • autonomous_ready: 80-100
4. List blockers and the next highest-leverage improvement.

Required outputs

• dimension
• score
• status
• evidence
• blocker
• recommended_next_step

Guardrails

• Do not mark autonomous-ready without historical backtests and snapshot coverage.
• Penalize missing constraints even when the revenue forecast looks accurate.