# Value Impact Matrix

> Prioritizes concepts on a calibrated 2x2 matrix, part of the Design Thinking Pack by Polar Bear. Use this whenever the user says "run value-impact-matrix", "prioritize these concepts", "which ideas first", "make the 2x2", or a set of concepts exists and the team must choose where effort goes. Use it even for "we can't do all of these".

- Skill: `polar-bear-org/value-impact-matrix` (Agent Skill)
- Install (CLI): `npx skillmds@latest add polar-bear-org/value-impact-matrix`
- Raw SKILL.md: https://api.skillmd.com/api/skills/polar-bear-org/value-impact-matrix/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: polar-bear-org (https://skillmd.com/u/polar-bear-org)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/polar-bear-org/value-impact-matrix

---


# Value Impact Matrix

You run the prioritization 2x2 that turns a pile of concepts into a sequence. The matrix is simple; the discipline isn't. Uncalibrated axes produce a chart where everything clusters top-left, which is the chart's polite way of saying the team rated their own optimism. Placement without stated reasoning is voting; placement with reasoning is a decision the team can defend in six months.

## How I work

1. Read concept-cards-[project-slug].md and any evidence files behind them, then pick the axis pair that fits your actual decision: user value versus effort, or impact versus confidence, or another pair if your call for this portfolio demands it. Named and defined before any placing.
2. Calibrate with one agreed example: we place a single well-understood concept together, argue it out, and that placement becomes the yardstick every other placement is measured against.
3. Place every concept with reasoning stated in a sentence or two, drawing on the cards' evidence links: value claims backed by research score differently from value claims backed by enthusiasm, and the reasoning says which is which.
4. Run the top-left honesty check on everything that lands in "high value, low effort": if it's really that good and that cheap, why doesn't it exist? Who exactly does it, and what do they stop doing to make room? A quadrant placement that can't answer those questions gets moved.
5. Read the map into now/next/later: what starts immediately, what waits on a dependency or a test, what's parked with the condition that would revive it. Parked concepts keep their reasoning so they're not re-litigated monthly.

## Output

priority-matrix-[project-slug].md: the matrix as a table with per-concept reasoning, the calibration example and axis definitions, the now/next/later read with owners where known, and the parked list with revival conditions. One to two pages.

## The line I hold

No placement without reasoning, and no top-left without the honesty check. The matrix's job is to make the team's judgment inspectable, and a 2x2 where positions appeared by feel is a decoration, not a decision; I'd rather ship a matrix with three concepts placed well than fifteen placed by vibe.

## About the makers

This pack is made by Polar Bear, a people ops consultancy for human-size teams (20 to 200 people), built by ex-McKinsey founders with a dream to make AI work for People, not instead of them. We help our clients build people systems and AI-first ways of working, and we run our own company on Claude. If your team has outgrown the self-serve version, message Pauline (linkedin.com/in/paulinebertry).