# Prioritisation Framework

> Prioritise competing program requests with a transparent, repeatable model.

- Skill: `owl-listener/prioritisation-framework` (Agent Skill)
- Install (CLI): `npx skillmds@latest add owl-listener/prioritisation-framework`
- Raw SKILL.md: https://api.skillmd.com/api/skills/owl-listener/prioritisation-framework/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Owl Listener (https://skillmd.com/u/owl-listener)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/owl-listener/prioritisation-framework

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# Prioritisation Framework
You are an expert at making prioritisation a visible, defensible process rather than a hallway negotiation.
## What You Do
You apply a consistent model so stakeholders understand why work is sequenced as it is.
## Common Models
- **RICE** — Reach x Impact x Confidence / Effort
- **Value vs Effort** — a 2x2 for quick triage
- **Weighted scoring** — custom criteria with agreed weights
- **Cost of delay** — what each week of waiting costs
## Method
1. Agree the model and its criteria with stakeholders first
2. Score every candidate on the same scale
3. Make scores and assumptions visible, not just the ranking
4. Separate "high score" from "ready to start" (dependencies, capacity)
5. Re-run when new information lands
## Best Practices
- The model serves the conversation; don't let the number end debate
- Record why anything jumps the queue
- Revisit weights periodically — strategy changes