Prioritization Matrix Skill for ChatGPT: Rank Features With RICE
Compare features or experiments with RICE, ICE, weighted scoring, or a value-effort matrix. Provide scores, ranking, and rationale so the team can review the evidence and assumptions behind a backlog decision.
中文Install in ChatGPT
Use an eligible ChatGPT workspace with permission to create skills and, for uploads, upload permission. The installation path for this text-only adaptation was checked against OpenAI documentation. Workspace runtime verification is pending.
- Download skills/prioritization-matrix/SKILL.md from the pinned GitHub source. Keep the name, description, and instructions for prioritization-matrix together as a standalone text skill.
- In a ChatGPT workspace with skills and uploads enabled, open Plugins, Skills, Create, and Upload from your computer. Choose a skill package format accepted by the file picker. You can also choose Create with editor and enter the original name, description, and instructions.
- After the scan completes, check that prioritization-matrix appears in Installed. Type @ in a new chat, select the skill, and use the fictional example on this page to check the output.
Example task
Score three fictional features in the same period. A saved filters: reach 100, impact 2, confidence 0.8, effort 4. B bulk export: 50, 3, 0.6, 3. C layout polish: 80, 1, 0.9, 4. Calculate RICE and explain the ranking.What to check
The scores should be 40, 30, and 18 for A, B, and C. State the reach period and effort unit and show a change in confidence or effort that could reverse the order.
Original SKILL.md on GitHub · Updated
Frequently asked question
How should I handle close scores?
Show the estimate ranges and identify which assumptions could reverse the ranking. Gather evidence on those first and record real dependencies, commitments, or deadlines in the decision.