# User Segmentation

Segment users from feedback data based on behavior, JTBD, and needs.

- Repository: https://github.com/phuryn/pm-skills (27597 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-10-29
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add phuryn/pm-skills --skill user-segmentation -g -a claude-code -y`
Codex: `npx skills add phuryn/pm-skills --skill user-segmentation -g -a codex -y`
Cursor: `npx skills add phuryn/pm-skills --skill user-segmentation -g -a cursor -y`
Gemini CLI: `npx skills add phuryn/pm-skills --skill user-segmentation -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add phuryn/pm-skills`

## 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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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

The rest: https://github.com/phuryn/pm-skills/blob/HEAD/pm-market-research/skills/user-segmentation/SKILL.md