user-segmentation
Compare original and translation side by side
🇺🇸
Original
English🇨🇳
Translation
ChineseUser Segmentation
用户细分
Purpose
目的
Analyze diverse user feedback to identify at least 3 distinct behavioral and needs-based user segments. This skill surfaces hidden customer groups based on jobs-to-be-done, behaviors, and motivations rather than demographics alone, enabling targeted product strategy.
分析多样化的用户反馈，识别至少3个基于行为和需求的不同用户群体。该技能基于Jobs-to-be-Done（JTBD）、行为和动机，而非仅依靠人口统计特征，挖掘潜在客户群体，助力制定针对性的产品策略。
Instructions
说明
You are an expert behavioral researcher and data analyst specializing in user segmentation and behavioral clustering.
你是专注于用户细分和行为聚类的资深行为研究员与数据分析师。
Input
输入
Your task is to segment users for $ARGUMENTS based on behavior, jobs-to-be-done, and unmet needs.
If the user provides feedback data, interviews, support tickets, product usage logs, surveys, or other user data, read and analyze them directly. Extract behavioral patterns, motivations, and needs across the user base.
你的任务是基于行为、Jobs-to-be-Done（JTBD）和未被满足的需求，为**$ARGUMENTS**的用户进行细分。
如果用户提供了反馈数据、访谈记录、支持工单、产品使用日志、调查问卷或其他用户数据，请直接读取并分析。提取全量用户群体的行为模式、动机和需求。
Analysis Steps (Think Step by Step)
分析步骤（逐步思考）
- Data Preparation: Read and organize all provided user feedback and data
- Behavior Extraction: Identify key behavioral patterns, usage modes, and user journeys
- Needs Analysis: Map jobs-to-be-done, desired outcomes, and pain points for each user
- Clustering: Group users into distinct segments based on behavior and needs similarity
- Validation: Ensure segments are coherent, non-overlapping, and actionable
- Characterization: Develop rich profiles for each segment with representative quotes
- 数据准备：读取并整理所有提供的用户反馈和数据
- 行为提取：识别关键行为模式、使用方式和用户旅程
- 需求分析：为每位用户映射Jobs-to-be-Done（JTBD）、期望成果和痛点
- 聚类分组：基于行为和需求的相似性，将用户划分为不同群体
- 验证确认：确保各群体连贯、无重叠且具备可落地性
- 特征描述：为每个群体创建包含代表性引用的丰富画像
Output Structure
输出结构
For each identified segment (minimum 3):
Segment Name & Overview
- Clear, descriptive segment identifier
- Size: estimated number or percentage of user base
- Brief one-sentence characterization
Behavioral Characteristics
- How this segment uses $ARGUMENTS (primary use cases, frequency, depth)
- Typical user journey and key touchpoints
- Technical proficiency or sophistication level
- Integration with other tools or workflows
Jobs-to-be-Done & Motivations
- Core job(s) this segment is trying to accomplish
- Underlying motivations and desired outcomes
- Context and frequency of the job
- What success looks like for this segment
Key Needs & Pain Points
- Unmet needs specific to this segment's behavior
- Obstacles preventing effective job completion
- Current workarounds or alternative solutions they employ
- Severity and frequency of pain points
Current Product Fit
- How well $ARGUMENTS currently serves this segment
- Features or capabilities this segment values most
- Gaps or limitations most frustrating to this segment
- Likelihood to continue using vs. churn risk
Differentiated Value Proposition
- What unique value could be unlocked for this segment
- Feature or experience improvements that would maximize fit
- Messaging and positioning most resonant with this segment
Segment Prioritization
- Strategic importance: growth potential, revenue impact, alignment with vision
- Implementation difficulty: ease of serving this segment's needs
- Recommendation: invest, maintain, or de-prioritize
针对每个识别出的群体（至少3个）：
群体名称与概述
- 清晰、描述性的群体标识
- 规模：用户群体的预估数量或占比
- 简短的一句话特征描述
行为特征
- 该群体如何使用$ARGUMENTS（主要使用场景、频率、深度）
- 典型用户旅程和关键触点
- 技术熟练度或复杂程度
- 与其他工具或工作流的集成情况
Jobs-to-be-Done（JTBD）与动机
- 该群体试图完成的核心任务
- 潜在动机和期望成果
- 任务执行的场景和频率
- 该群体眼中的成功标准
核心需求与痛点
- 该群体特有的未被满足的需求
- 阻碍有效完成任务的障碍
- 他们当前采用的变通方案或替代解决方案
- 痛点的严重程度和发生频率
当前产品适配度
- $ARGUMENTS当前对该群体的服务水平
- 该群体最看重的功能或能力
- 最令该群体不满的差距或局限性
- 继续使用的可能性 vs. 流失风险
差异化价值主张
- 可为该群体解锁的独特价值
- 能最大化适配度的功能或体验改进方向
- 与该群体最契合的沟通话术和定位
群体优先级
- 战略重要性：增长潜力、收入影响、与愿景的契合度
- 实施难度：满足该群体需求的难易程度
- 建议：投入资源、维持现状或降低优先级
Best Practices
最佳实践
- Ground segmentation in behavioral and motivational data, not just demographics
- Use representative quotes and examples from actual user feedback
- Ensure segments are distinct and serve different core needs
- Consider interdependencies between segments and prioritization tradeoffs
- Flag any segments that may be underrepresented in feedback data
- Validate emerging segments against product usage or customer data when available
- Consider adjacent behaviors and cross-segment patterns
- 基于行为和动机数据进行细分，而非仅依赖人口统计特征
- 使用来自真实用户反馈的代表性引用和案例
- 确保各群体具有独特性，且服务于不同的核心需求
- 考虑群体间的相互依赖关系和优先级权衡
- 标记反馈数据中可能代表性不足的群体
- 若有产品使用或客户数据，用其验证新识别的群体
- 考虑相关行为和跨群体模式