先看看示例
作者提供的示例，实际效果取决于你的输入和使用工具。
输入
访谈 A：每周给经理交周报，反复复制表格；B：经营三家门店，需要比较缺货；C：分析师会 SQL，但同事看不懂查询结果。
输出
编辑示例 · 未运行
画像 1：周报协调者。任务：把不同来源数字拼成可读周报；痛点：重复复制；期望：保留来源的汇总。依据：访谈 A。
画像 2：多店经营者。任务：跨店发现缺货；痛点：难定位门店差异；依据：B。
画像 3：分析结果传递者。任务：把查询讲给业务同事；痛点：技术结果难理解；依据：C。
设计启示：三类人的首屏入口分别偏向汇总、比较和解释，需后续验证。
方法说明
--- name: user-personas description: "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) 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. **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](https://www.productcompass.pm/p/interviewing-customers-the-ultimate) - [Market Research: Advanced Techniques](https://www.productcompass.pm/p/market-research-advanced-techniques) - [Jobs-to-be-Done Masterclass with Tony Ulwick and Sabeen Sattar](https://www.productcompass.pm/p/jobs-to-be-done-masterclass-with) (video course)