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skills / business

prioritization-frameworks

what it does

Reference guide to 9 prioritization frameworks with formulas, when-to-use guidance, and templates — RICE, ICE, Kano, MoSCoW, Opportunity Score, and more. Use when selecting a prioritization method, comparing frameworks like RICE vs ICE, or learning how different prioritization approaches work.

by Pawel Huryn · Pawel Huryn, MIT · version 1 · license MIT

Verified Before and after: 2 models 1 try per case View source Download .zip

Compare the answers

Answers from Claude Sonnet 5.5 and GPT-6.1 Sol · try 1 of 1

Same request, same model, once with the skill and once without. Read both and judge for yourself.

“Rank these by our usual score: reach × impact × confidence ÷ effort. Show the scores.”

Source material given with the request

We plan effort in person-months. 1 person-month = 4 person-weeks. Item Reach (users/qtr) Impact Confidence Effort Bulk edit 4,000 1 80% 2 person-months Slack integration 1,500 2 50% 6 person-weeks SSO 600 3 100% 1 person-month Mobile offline 2,500 2 50% 4 person-months Onboarding checklist 5,000 0.5 80% 8 person-weeks
with the skill
## RICE ranking Score = (Reach × Impact × Confidence) ÷ Effort. Effort is converted to person-months (4 person-weeks = 1 person-month). | Rank | Item | Reach | Impact | Confidence | Effort (PM) | Calculation | **Score** | |---|---|---|---|---|---|---|---| | 1 | SSO | 600 | 3 | 100% | 1 | 1,800 ÷ 1 | **1,800** | | 2 | Bulk edit | 4,000 | 1 | 80% | 2 | 3,200 ÷ 2 | **1,600** | | 3 (tie) | Slack integration | 1,500 | 2 | 50% | 1.5 (6 wk) | 1,500 ÷ 1.5 | **1,000** | | 3 (tie) | Onboarding checklist | 5,000 | 0.5 | 80% | 2 (8 wk) | 2,000 ÷ 2 | **1,000** | | 5 | Mobile offline | 2,500 | 2 | 50% | 4 | 2,500 ÷ 4 | **625** | **Notes** - Slack and Onboarding tie at 1,000. If you need a tiebreaker, Onboarding has higher confidence (80% vs 50%), while Slack is cheaper and has a higher per-user impact. I'd lean toward Onboarding on confidence, but that's a judgment call. - SSO ranks first despite the smallest reach because it has high impact, full confidence, and the lowest effort. Its score is sensitive to the 100% confidence figure. At 80% it would drop to 1,440 and fall below Bulk edit. - Mobile offline is last mainly because of its 4 person-month cost combined with 50% confidence.
without
## Ranked by RICE score Effort is converted to person-months (4 person-weeks = 1 person-month). | Rank | Item | Reach | Impact | Confidence | Effort (PM) | Score | |---|---|---|---|---|---|---| | 1 | SSO | 600 | 3 | 100% | 1 | **1,800** | | 2 | Bulk edit | 4,000 | 1 | 80% | 2 | **1,600** | | 3 (tie) | Slack integration | 1,500 | 2 | 50% | 1.5 | **1,000** | | 3 (tie) | Onboarding checklist | 5,000 | 0.5 | 80% | 2 | **1,000** | | 5 | Mobile offline | 2,500 | 2 | 50% | 4 | **625** | ## Calculations - **SSO:** 600 × 3 × 1.0 = 1,800 ÷ 1 = 1,800 - **Bulk edit:** 4,000 × 1 × 0.8 = 3,200 ÷ 2 = 1,600 - **Slack integration:** 1,500 × 2 × 0.5 = 1,500 ÷ 1.5 (6 weeks) = 1,000 - **Onboarding checklist:** 5,000 × 0.5 × 0.8 = 2,000 ÷ 2 (8 weeks) = 1,000 - **Mobile offline:** 2,500 × 2 × 0.5 = 2,500 ÷ 4 = 625 ## Notes
Show the rest (2 more lines)
- Slack and Onboarding tie at 1,000. Onboarding has higher confidence (80% vs. 50%), so it is the safer pick. Slack has more upside if its impact estimate holds. - SSO ranks first despite the smallest reach because of its high impact, full confidence, and low effort.

Answers are shown exactly as the model wrote them, from the first try, and nothing is picked by hand.

The models

2 models

Claude Sonnet 5.5

made by Anthropic

claude-sonnet-5-5 · revision not reported by the provider

1 try per case · tested 3 Nov 2026

GPT-6.1 Sol

made by OpenAI

gpt-6.1-sol · revision not reported by the provider

1 try per case · tested 3 Nov 2026

The tasks

written by Carte Blanche
request-count-list

“Sales gave me the most requested features with counts. Can I just build them in order of request count?”

score-with-mixed-units

“Rank these by our usual score: reach × impact × confidence ÷ effort. Show the scores.”

startup-method-choice

“We're a 4-person startup with about 30 feature ideas in a spreadsheet and a planning meeting on Friday. We have almost no usage data. What's a sensible way to prioritize?”

survey-ranking

“Which of these customer problems should we work on first? We surveyed 200 customers; ratings are averages on a 1-10 scale.”

weighted-matrix

“Leadership has to pick one of these three initiatives. Which should we pick? Show the math.”

Install

Download the .zip and unzip it. Put its files, in a folder named prioritization-frameworks, here:

Claude Code~/.claude/skills/Every project. For one project only, use .claude/skills/ inside it.
Codex~/.agents/skills/Every project. For one repository only, use .agents/skills/ inside it.
Cursor~/.cursor/skills/Cursor also reads the Claude Code and Codex folders above.

Then start a new session and ask for what the skill does. Other agents that read SKILL.md have their own skills folder; check their docs.

Coming after launch: get skills from inside your agent, no download needed.