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user-personas

Create three user personas from research data with JTBD, pains, and gains.

Updated Aug 27, 2026
Search Tags:#persona#jobs-to-be-done#user-research#data-synthesis#jtbd#persona-development#user-segmentation
One-click install
npx skills add https://github.com/jupitermoney/pm-superic-skills --skill user-personas-jupitermoney
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: user-personas
Source: https://github.com/jupitermoney/pm-superic-skills/tree/main/pm-market-research/skills/user-personas
Command: npx skills add https://github.com/jupitermoney/pm-superic-skills --skill user-personas-jupitermoney

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Create actionable user personas from real research data to inform product decisions, reducing guesswork and alignment gaps.

Core Features & Use Cases

  • Generate 3 detailed personas with JTBD, pains, gains, and unexpected insights.
  • Provide demographics, motivation, and behavior patterns linked to research findings.
  • Support segmentation and validation against source data to ensure fidelity.

Quick Start

Generate three personas from survey responses and interview transcripts provided in the workspace.

Frequently Asked Questions about user-personas

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

FAQPage Schema
How do I create user personas from interview transcripts and survey responses?▼

Generate three refined user personas by applying the Skill across interview transcripts, survey responses, or CSVs to synthesize distinct profiles with JTBD, pains, gains, and demographics.

What is the best way to extract jobs-to-be-done from raw user research data?▼

Extract jobs-to-be-done by synthesizing research artifacts like CSVs and interview transcripts into structured personas, providing a concise product-fit assessment and behavioral patterns for each segment.

Can I generate user segments from CSV exports without manual analysis?▼

Yes, you can process CSV exports directly to produce three data-grounded personas, segmenting users and validating findings against the source data to ensure fidelity.

Does this user persona generator work with unstructured interview data?▼

It processes unstructured interview transcripts alongside survey responses to identify unexpected insights, motivations, and demographic details, linking behavior patterns directly back to the research findings.

How many personas does this tool generate from the provided research data?▼

It creates exactly three detailed user personas from the input research data, mapping out specific pains, gains, JTBD, and a product-fit assessment to guide product decisions.

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