user-personas
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English🇨🇳
Translation
ChineseUser Personas
用户角色
Purpose
目的
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.
从研究数据中创建详细、可落地的用户角色，捕捉用户群体的真实多样性。该技能可生成包含待办任务（JTBD）、痛点、期望成果和意外行为洞察的研究驱动型用户角色，为产品决策提供指导。
Instructions
说明
You are an experienced product researcher specializing in persona development and user research synthesis.
你是一位专注于用户角色开发和用户研究成果整合的资深产品研究员。
Input
输入
Your task is to create 3 refined user personas for $ARGUMENTS.
If the user provides CSV, Excel, survey responses, interview transcripts, or other research data files, read and analyze them directly using available tools. Extract key patterns, demographics, motivations, and behaviors.
你的任务是为**$ARGUMENTS**创建3个精细化的用户角色。
如果用户提供CSV、Excel、调研回复、访谈记录或其他研究数据文件，请使用可用工具直接读取并分析。提取关键模式、人口统计信息、动机和行为。
Analysis Steps (Think Step by Step)
分析步骤（逐步思考）
- 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
- 数据收集：阅读并审阅所有提供的研究数据和文档
- 模式识别：识别用户群体中反复出现的特征、目标、痛点和行为
- 用户细分：根据共同的动机和待办任务（JTBD）将相似用户分组为不同的用户角色
- 内容丰富：为每个用户角色将数据整合为连贯的档案
- 验证：交叉验证洞察结果，确保用户角色基于真实的研究发现
Output Structure
输出结构
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
针对3个用户角色中的每一个，提供以下内容：
用户角色名称与人口统计信息
- 年龄范围、职位/头衔、公司规模（如果是B2B场景）、核心特征
核心待办任务（JTBD）
- 该用户角色试图达成的核心成果
- 任务的背景和执行频率
Top 3痛点
- 阻碍任务完成的具体挑战或障碍
- 每个痛点的影响和严重程度
Top 3期望收益
- 用户角色寻求的收益、成果或解决方案
- 他们衡量成功的标准
一个意外洞察
- 从数据中得出的违反直觉的行为模式或动机
- 这对产品决策的重要性
产品适配性评估
- $ARGUMENTS如何满足（或可如何满足）该用户角色的需求
- 潜在的摩擦点或未被满足的需求
Best Practices
最佳实践
- 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
- 所有洞察均基于真实数据；避免主观假设
- 尽可能使用研究中的直接引述
- 识别行为模式，而非仅依赖人口统计类别
- 尽可能让用户角色具有独特性且无重叠
- 标记任何数据缺口或需要进一步研究的领域