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pm-personas

Generate customer segments, personas, and early adopter profiles from Voice of Customer research data.

1|Updated May 28, 2026
Search Tags:#user research#personas#product discovery#jtbd#customer segments#early adopters#voc
One-click install
npx skills add https://github.com/ljucask/pureinn-product-development --skill pm-personas-ljucask
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pm-personas
Source: https://github.com/ljucask/pureinn-product-development/tree/main/skills/pm-personas
Command: npx skills add https://github.com/ljucask/pureinn-product-development --skill pm-personas-ljucask

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps product teams transform scattered Voice of Customer data into structured customer segments, personas, and early adopter profiles without inventing unsupported assumptions.

Core Features & Use Cases

  • Customer Segmentation: Synthesizes interviews, surveys, observations, and research notes into prioritized customer groups with needs, pains, and strategic relevance.
  • Persona Development: Creates evidence-based personas with goals, behaviors, frustrations, current solutions, adoption drivers, and research-backed quotes.
  • Early Adopter Profiling: Defines the first target customers, their triggers, discovery channels, and adoption requirements for product validation.
  • Use Case: A product manager can provide interview transcripts from early users and generate discovery artifacts that guide JTBD analysis, validation, feature prioritization, and PRD creation.

Quick Start

Use the pm-personas skill to analyze my customer interview transcripts and create customer segments, personas, and an early adopter profile.

Frequently Asked Questions about pm-personas

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

FAQPage Schema
How do I turn customer interview transcripts into actionable personas?▼

To turn customer interview transcripts into actionable personas, provide Voice of Customer research data to generate evidence-based segments, personas, and early adopter profiles with assumption labeling and conflict detection.

What is the best way to synthesize Voice of Customer data for product discovery?▼

Synthesizing Voice of Customer data for product discovery involves structuring interviews, surveys, and behavioral observations into prioritized customer segments with defined needs, pains, and strategic relevance.

Can I generate early adopter profiles directly from user research notes?▼

Yes, you can generate early adopter profiles directly from user research notes by defining first target customers, their triggers, discovery channels, and adoption requirements for product validation.

How do I avoid unsupported assumptions when creating customer segments?▼

Avoid unsupported assumptions when creating customer segments by applying structured synthesis of research evidence, labeling assumptions, and detecting conflicts within your Voice of Customer data.

Does customer segmentation work for JTBD and PRD activities?▼

Yes, customer segmentation works for JTBD and PRD activities by generating discovery artifacts from research evidence that guide validation, feature prioritization, and product requirements definition.

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