RICE Prioritisation Skill

Apply consistent, criteria-based RICE scoring to a list of features or initiatives to produce an objective prioritisation ranking.

Reads from / Writes to the Brain

If a professional-brain (brain/) exists, ground in it instead of re-asking for what you already know:

• Read first: knowledge/strategy.md (so the ranking serves the direction), the items as entities/, and impact hypotheses/. Run python3 ../professional-brain/scripts/brain_query.py ./brain "<initiative theme>" and carry each fact's provenance tag through — an impact estimate is usually a [hunch], not [data].
• 📥 Propose to the Brain: after producing, propose recording the ranking decision to decisions/ and the reach/impact estimates as hypotheses/ tagged by evidence strength. Show them, get a yes, then write with ../professional-brain/scripts/brain_write.py … --commit (append-only, dry-run by default).

Required Inputs

Ask the user for these if not provided:

• List of initiatives or features to score (names and brief descriptions)
• Reach estimates (users affected per quarter — from analytics if available)
• Impact estimates (use the standard scale below)
• Effort estimates (person-months — from engineering if available)
• Quarter or planning period