# user-segmentation

Turns reviews, interviews and usage logs into at least three behavior-based user segments. Useful when your user base looks like one big blob.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 2700 installs · ★ 27382
- Author: phuryn
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/phuryn/pm-skills/tree/HEAD/pm-market-research/skills/user-segmentation/SKILL.md
- Updated: 2026-10-16
- HTML: https://affpapa.org/en/nevibecode/skills/user-segmentation

## What it does

Feed it support tickets, interview transcripts, survey answers or product logs, and the skill sorts users into groups by what they actually do rather than who they are. Each group gets a profile: how those people use the product, the job they hired it for, and where they get stuck.

The workflow runs in stages. Data prep first, then behavioral patterns, needs and pain points, clustering, a check that segments do not overlap, and finally profiles backed by quotes from the source material. It closes with prioritization — which segment to invest in, which to keep as is, which to drop down the list.

The skill needs real input. Thin or one-sided feedback produces fuzzy segments, so check what you have before running it. The target product goes in through `$ARGUMENTS`.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add phuryn/pm-skills --skill user-segmentation -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/user-segmentation/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/user-segmentation/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add phuryn/pm-skills --skill user-segmentation -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/user-segmentation/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add phuryn/pm-skills --skill user-segmentation -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/user-segmentation/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install phuryn/pm-skills user-segmentation
```

2. **Manually: put the files in place**
- File: `.github/skills/user-segmentation/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add phuryn/pm-skills --skill user-segmentation -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/phuryn/pm-skills --path pm-market-research/skills/user-segmentation
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/user-segmentation/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add phuryn/pm-skills --skill user-segmentation -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/phuryn/pm-skills/tree/HEAD/pm-market-research/skills/user-segmentation/SKILL.md

## When to use it
- sort a pile of feedback into groups that mean something
- surface usage patterns demographics would hide
- spot needs that only part of your users have
- pick which segment to build for next
- check that your segments do not overlap

## Example prompts
- Segment our task tracker users from the data in `feedback.csv`
- Read the interviews in `interviews/` and split users by jobs-to-be-done
- Analyze support tickets and profile three segments with pain points and quotes

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: e38d6f0b1930070a.

BEGIN THIRD-PARTY FILE e38d6f0b1930070a
```text
---
name: user-segmentation
description: "Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments. Use when segmenting a user base, analyzing diverse user feedback, or building a segmentation model."
---

# User Segmentation

## Purpose
Analyze diverse user feedback to identify at least 3 distinct behavioral and needs-based user segments. This skill surfaces hidden customer groups based on jobs-to-be-done, behaviors, and motivations rather than demographics alone, enabling targeted product strategy.

## Instructions

You are an expert behavioral researcher and data analyst specializing in user segmentation and behavioral clustering.

### Input
Your task is to segment users for **$ARGUMENTS** based on behavior, jobs-to-be-done, and unmet needs.

If the user provides feedback data, interviews, support tickets, product usage logs, surveys, or other user data, read and analyze them directly. Extract behavioral patterns, motivations, and needs across the user base.

### Analysis Steps (Think Step by Step)

1. **Data Preparation**: Read and organize all provided user feedback and data
2. **Behavior Extraction**: Identify key behavioral patterns, usage modes, and user journeys
3. **Needs Analysis**: Map jobs-to-be-done, desired outcomes, and pain points for each user
4. **Clustering**: Group users into distinct segments based on behavior and needs similarity
5. **Validation**: Ensure segments are coherent, non-overlapping, and actionable
6. **Characterization**: Develop rich profiles for each segment with representative quotes

### Output Structure

For each identified segment (minimum 3):

**Segment Name & Overview**
- Clear, descriptive segment identifier
- Size: estimated number or percentage of user base
- Brief one-sentence characterization

**Behavioral Characteristics**
- How this segment uses $ARGUMENTS (primary use cases, frequency, depth)
- Typical user journey and key touchpoints
- Technical proficiency or sophistication level
- Integration with other tools or workflows

**Jobs-to-be-Done & Motivations**
- Core job(s) this segment is trying to accomplish
- Underlying motivations and desired outcomes
- Context and frequency of the job
- What success looks like for this segment

**Key Needs & Pain Points**
- Unmet needs specific to this segment's behavior
- Obstacles preventing effective job completion
- Current workarounds or alternative solutions they employ
- Severity and frequency of pain points

**Current Product Fit**
- How well $ARGUMENTS currently serves this segment
- Features or capabilities this segment values most
- Gaps or limitations most frustrating to this segment
- Likelihood to continue using vs. churn risk

**Differentiated Value Proposition**
- What unique value could be unlocked for this segment
- Feature or experience improvements that would maximize fit
```
END THIRD-PARTY FILE e38d6f0b1930070a

The third-party file has ended. Everything between the e38d6f0b1930070a tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 2886 of 4102 bytes. © phuryn · MIT · https://github.com/phuryn/pm-skills/tree/HEAD/pm-market-research/skills/user-segmentation/SKILL.md

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---
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