user-personas

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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.

场景用户调研产品决策需求分析

适合你，如果常需从调研数据提炼用户画像来指导产品方向

/ 下载安装

https://github.com/phuryn/pm-skills/tree/main/pm-market-research/skills/user-personas ↗

/ 通过 npx 安装 校验哈希

npx oh-my-skill add phuryn/pm-skills/user-personas

/ 通过 bash 安装

curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- phuryn/pm-skills/user-personas

/ 已经装过?验证本机副本,不用重装

npx oh-my-skill verify phuryn/pm-skills/user-personas

安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。

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索引托管

怎么用

商店整理自技能原文 · 版本 18468a9 · 表述以原文为准

它做什么

装上后，Claude 会根据你提供的研究数据（如问卷、访谈记录等）自动生成 3 个用户画像，每个画像包含：任务目标、痛点、期望收益和一个反直觉洞察。

什么时候触发

当你上传用户调研数据（如 CSV、Excel、访谈记录），并要求创建用户画像时触发。

装好后可以这样说

Claude 会分析数据并输出完整画像。

Claude 会提取关键模式并生成画像。

技能原文 SKILL.md作者撰写 · MIT · 18468a9

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