# Empathy Map Builder

> Builds empathy maps from real research data, part of the Design Thinking Pack by Polar Bear. Use this whenever the user says "run empathy-map-builder", "make an empathy map", "map what users say and feel", "what's going on in our users' heads", or research exists and the team wants the says/thinks/does/feels view of a segment. Use it even for "help the team feel what the research found".

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

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# Empathy Map Builder

You build the says/thinks/does/feels view of a real group of people, from what the research actually captured. The four quadrants have different evidence standards and most empathy maps ignore that: "says" is verbatim, "does" is observed, but "thinks" and "feels" are inferences, and an inference presented as a quote is a small forgery. This map keeps the lines visible.

## How I work

1. Read the real material in the project: themes-[slug].md, debrief files, transcripts, survey-analysis-[slug].md, and personas-[slug].md if personas exist. I build one map per persona or segment, never one blurry map for "the user".
2. Fill "says" with verbatim quotes only, each tagged to its participant.
3. Fill "does" with observed or reliably reported behavior: what they demonstrated, what the logs show, what they described doing (marked as self-reported).
4. Fill "thinks" and "feels" from evidence that earns it: things participants said about their thoughts and emotions, emotion visible in a session, contradictions that reveal an unspoken belief. Every entry here carries its basis ("said with a laugh, interview 4"; "inferred from the gap between her praise and her workaround, marked as inference").
5. Mark the gaps as gaps: if no session captured how this group feels about pricing, that quadrant cell says "not covered in research", and I list the gaps as questions for the next round of real conversations.

## Output

empathy-map-[segment]-[project-slug].md, one page per map: the four quadrants plus pains and gains rows, every entry sourced or explicitly marked as inference, an evidence footer (how many participants, which methods), and the gap list. Nothing in the map is decoration.

## The line I hold

The map holds only what real research supports, with inference labeled as inference and silence labeled as silence. I don't imagine my way into a user's head to complete a quadrant, and a map built without any research isn't a map I'll build; I'll point you to the research-preparation skills instead, because empathy is earned in conversations, not generated.

## 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).