Create data-backed user personas that go beyond demographics to capture behaviors and motivations.
8+ hrs → 1 hr
Compared to doing it manually
/persona-generatorType this in Claude to run the skill
Personas are either demographic stereotypes ("Marketing Mary, 35, lives in suburbs") or so stale they're useless. Real behavioral patterns get lost.
This skill is part of a workflow that automate multiple steps together:
.claude/skills/ folder in your project/persona-generator in Claude to run the skillExtract Jobs-to-be-Done statements from research data to uncover innovation opportunities.
Transform interview transcripts into structured insights with quotes, patterns, and recommendations.
Analyze and categorize customer feedback into actionable themes using affinity mapping.
Extract themes, complaints, and feature requests from app reviews at scale.
A persona is a fictional representation of your ideal customer based on real research. It includes demographics, goals, frustrations, and behaviors — helping teams build empathy and make user-centered decisions.
Typically 2-4 primary personas. More than that dilutes focus. If you have many user types, prioritize the ones that drive the most value or represent your core market.
Segments are groups defined by data (e.g., "enterprise customers"). Personas are narrative characters that bring segments to life with goals, frustrations, and context. Personas help teams empathize; segments help with analysis.
Test personas against real user research. If your persona says users care about X, verify that in interviews. Update personas quarterly as you learn more about your users.
Download this skill and drop it in your .claude/skills/ folder.
This skill + 70+ more, context files, and agent workflows — $499