persona-creation

Convert research data into evidence-based user personas with sourced insights.

13|4|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/henrique-simoes/Istara --skill persona-creation-henrique-simoes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: persona-creation
Source: https://github.com/henrique-simoes/Istara/tree/main/skills/define/persona-creation
Command: npx skills add https://github.com/henrique-simoes/Istara --skill persona-creation-henrique-simoes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthesize evidence-based personas from research data and ensure every claim is supported by sources.

Core Features & Use Cases

  • Evidence-backed personas: Generate personas with direct source references.
  • Structured outputs: Nuggets, facts, insights, and recommendations mapped to each persona.
  • Use Case: A UX team can convert interview transcripts and study results into profiles of typical users for design decisions.

Quick Start

Provide your research data and context, and I will generate evidence-based personas with linked sources.

Frequently Asked Questions about persona-creation

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

FAQPage Schema
How do I create user personas from research interviews?

Evidence-based personas include direct source references for every claim, ensuring design decisions are grounded in actual research data rather than assumptions. This approach generates structured outputs like nuggets, facts, insights, and recommendations with linked sources and confidence scores.

Can I generate UX personas from survey data and field studies?

You provide your research data and project context, and the system generates evidence-based personas. Each persona includes mapped nuggets, facts, insights, and recommendations, with every claim linked to its original source and assigned a confidence score.

What's the best way to synthesize research data into audience profiles?

This approach differs from assumption-based personas by requiring direct source references for every claim. It outputs structured data—nuggets, facts, insights, and recommendations with confidence scores—ensuring your UX personas are verifiable and grounded in actual research evidence rather than intuition.

Does generating evidence-based personas require structured input data?

Every claim within a generated persona is backed by a direct source reference and a confidence score. This means you can trace each nugget, fact, insight, and recommendation back to your original research data, ensuring transparency and reliability for your UX design decisions.