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user-personas

基于研究数据创建精炼的用户画像——3个画像，包含JTBD（用户待完成的工作）、痛点、收益和意外洞见。适用于从问卷数据构建画像、基于研究创建用户档案或为产品决策对用户进行细分。

作者

@phuryn

分类

产品

安装

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name:user-personasdescription:"Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions."

User Personas

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)

  • Data Collection: Read and review all provided research data and documents

  • Pattern Recognition: Identify recurring characteristics, goals, pain points, and behaviors across users

  • Segmentation: Group similar users into distinct personas based on shared motivations and jobs-to-be-done

  • Enrichment: For each persona, synthesize data into a coherent profile

  • Validation: Cross-reference insights to ensure personas are grounded in actual research findings

    • Output Structure

    For each of the 3 personas, provide:

    Persona Name & Demographics

  • Age range, role/title, company size (if B2B), key characteristics

    • Primary Job-to-be-Done

  • The core outcome the persona is trying to achieve

  • Context and frequency of the job

    • Top 3 Pain Points

  • Specific challenges or obstacles preventing job completion

  • Impact and severity of each pain

    • Top 3 Desired Gains

  • Benefits, outcomes, or solutions the persona seeks

  • How they measure success

    • One Unexpected Insight

  • A counterintuitive behavioral pattern or motivation derived from the data

  • Why this matters for product decisions

    • Product Fit Assessment

  • How $ARGUMENTS addresses (or could address) this persona's needs

  • Potential friction points or unmet needs

    • Best Practices

  • Ground all insights in actual data; avoid assumptions

  • Use direct quotes from research when available

  • Identify behavioral patterns, not just demographic categories

  • Make personas distinct and non-overlapping where possible

  • Flag any data gaps or areas requiring additional research

    • Further Reading

  • User Interviews: The Ultimate Guide to Research Interviews

  • Market Research: Advanced Techniques

  • Jobs-to-be-Done Masterclass with Tony Ulwick and Sabeen Sattar (video course)