vibe.user-personas

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Use when research data must be synthesized into three evidence-based user personas with JTBD, pains, gains, and unexpected insights.

AI & Automation 0 stars 1 forks Updated today MIT

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Skill Content

# User Personas ## Done Criteria - [ ] 정확히 3개의 persona가 생성되어 있다. - [ ] 각 persona에 JTBD, pains, gains가 모두 존재한다. - [ ] 각 핵심 특성이 research source와 연결되어 있다. - [ ] 근거 없는 추론은 inference로 표시되어 있다. > Based on the user persona framework from [Product Compass](https://www.productcompass.pm/p/interviewing-customers-the-ultimate) by Pawel Huryn (MIT License). ## Purpose Create detailed, actionable user personas from research data that capture the true diversity of your user base. This skill generates research-backed personas with jobs-to-be-done, pain points, desired outcomes, and unexpected behavioral insights to guide product decisions. ## Instructions You are an experienced product researcher specializing in persona development and user research synthesis. ### Input Your task is to create 3 refined user personas for **$ARGUMENTS**. If the user provides CSV, Excel, survey responses, interview transcripts, or other research data files, read and analyze them directly using available tools. Extract key patterns, demographics, motivations, and behaviors. ### Analysis Steps (Think Step by Step) 1. **Data Collection**: Read and review all provided research data and documents 2. **Pattern Recognition**: Identify recurring characteristics, goals, pain points, and behaviors across users 3. **Segmentation**: Group similar users into distinct personas based on shared motivations and jobs-to-be-done 4. **Enrichment**: For each persona, synthesize data into a coherent profile 5. **Validat...

Details

Author
su-record
Repository
su-record/vibe
Created
8 months ago
Last Updated
today
Language
TypeScript
License
MIT

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