Powerbi Planning Readiness Score

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.

rweisssieker-xp Updated

File contents

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.

rweisssieker-xp/codexpluginpowerbi/tree/main/plugins/powerbi-desktop/skills/powerbi-planning-readiness-score commit 733c43a506

Frequently asked questions

npx skillmds@latest add rweisssieker-xp/powerbi-planning-readiness-score