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user-segmentation

Segment user bases from feedback data into distinct profiles.

Updated Apr 8, 2026
Search Tags:#feedback#personas#behavior#segmentation#jobs-to-be-done#clustering#user
One-click install
npx skills add https://github.com/martiraste-lgtm/claude-skills --skill user-segmentation-martiraste-lgtm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: user-segmentation
Source: https://github.com/martiraste-lgtm/claude-skills/tree/main/pm-market-research-user-segmentation
Command: npx skills add https://github.com/martiraste-lgtm/claude-skills --skill user-segmentation-martiraste-lgtm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Segmenting a user base from qualitative and quantitative feedback to reveal actionable groups beyond demographics.

Core Features & Use Cases

  • Data preparation: gather and normalize feedback data from interviews, surveys, support tickets, and usage logs.
  • Behavior extraction & JTBD mapping: identify jobs-to-be-done, motivations, and needs driving behavior.
  • Clustering & profiling: group users into distinct segments and develop rich, representative profiles.
  • Validation & prioritization: ensure segments are coherent, non-overlapping, and actionable for product strategy.
  • Use Case: prioritize features or experiments by segment value and risk, then tailor messaging and workflows.

Quick Start

Segment the attached feedback data into at least three distinct user profiles with names and summaries.

Frequently Asked Questions about user-segmentation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I segment users from mixed feedback data like support tickets and surveys?▼

User segmentation from qualitative and quantitative feedback groups users by jobs-to-be-done and behavior rather than demographics. It extracts motivations from interviews and support tickets to reveal actionable groups for product strategy.

What is the best way to cluster user feedback into actionable personas?▼

The best way to cluster user feedback into personas is by mapping jobs-to-be-done and extracting behaviors from normalized data. The process then validates and profiles these clusters to ensure segments are coherent and non-overlapping.

Can I use this to segment a user base from qualitative interview transcripts?▼

Yes, you can segment a user base from qualitative interview transcripts. The tool gathers and normalizes diverse feedback sources, including interviews, to identify distinct motivations and group users into representative profiles.

How many distinct user segments can I expect to identify from feedback data?▼

You can expect to identify at least three distinct user segments from feedback data. The clustering and validation process ensures these segments are coherent, non-overlapping, and characterized with rich profiles.

How do I prioritize product features after segmenting my user base?▼

After segmenting your user base, prioritize product features by evaluating segment value and risk. The resulting detailed profiles allow you to tailor messaging and workflows to specific user needs.

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