customer-persona by inferen-sh/skills
npx skills add https://github.com/inferen-sh/skills --skill customer-persona通过 inference.sh CLI,结合研究和可视化工具,创建基于数据的客户画像。
需要 inference.sh CLI (
infsh)。安装说明
infsh login
# 研究你的目标市场
infsh app run tavily/search-assistant --input '{
"query": "SaaS product manager demographics pain points 2024 survey"
}'
# 生成画像头像
infsh app run falai/flux-dev-lora --input '{
"prompt": "professional headshot photograph of a 35-year-old woman, product manager, friendly confident expression, modern office background, natural lighting, business casual attire, realistic portrait",
"width": 1024,
"height": 1024
}'
┌──────────────────────────────────────────────────────┐
│ [头像照片] │
│ │
│ 莎拉·陈, 34岁 │
│ B轮融资SaaS初创公司产品经理 │
│ │
│ "我花在做报告上的时间比做决策还多。" │
│ │
├──────────────────────────────────────────────────────┤
│ 人口统计 │ 心理统计 │
│ 年龄: 30-38 │ 价值观: 效率, 数据 │
│ 收入: $120-160K │ 个性: 分析型, 有条理, │
│ 教育: 本科/MBA │ 协作型 │
│ 地点: 美国城市 │ 兴趣: 生产力, 领导力, │
│ 角色: 产品/PM │ AI工具 │
├──────────────────────────────────────────────────────┤
│ 目标 │ 痛点 │
│ • 更快发布功能 │ • 会议太多 │
│ • 数据驱动的决策 │ • 手动报告(每周15小时) │
│ • 团队协调一致 │ • 利益相关者对齐缓慢 │
│ • 职业发展至总监 │ • 工具泛滥(8+个应用) │
│ │ • 没有单一事实来源 │
├──────────────────────────────────────────────────────┤
│ 渠道 │ 购买触发点 │
│ • LinkedIn (每日) │ • 同行推荐 │
│ • Product Hunt │ • 免费试用体验 │
│ • 播客 (通勤时) │ • 与Jira集成 │
│ • Lenny's Newsletter │ • 团队计划定价 │
│ • Twitter/X │ • ROI计算器 │
└──────────────────────────────────────────────────────┘
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
从数据开始,而非假设。
# 市场人口统计
infsh app run tavily/search-assistant --input '{
"query": "product manager salary demographics 2024 survey report"
}'
# 痛点和挑战
infsh app run exa/search --input '{
"query": "biggest challenges facing product managers SaaS companies"
}'
# 工具使用模式
infsh app run tavily/search-assistant --input '{
"query": "most popular tools product managers use 2024 survey"
}'
# 内容消费习惯
infsh app run exa/answer --input '{
"question": "Where do product managers get their industry news and professional development?"
}'
使用范围,而非精确值。 画像代表的是一个细分群体,而非单一个体。
| 字段 | 格式 | 示例 |
|---|---|---|
| 年龄范围 | X-Y | 30-38 |
| 收入范围 | $X-$Y | $120,000-$160,000 |
| 教育背景 | 常见学位 | 计算机科学学士,MBA |
| 地点 | 区域/类型 | 美国城市,主要科技中心 |
| 职位 | 角色级别 | 高级产品经理,产品负责人 |
| 公司规模 | 范围 | 50-500名员工 |
| 行业 | 领域 | B2B SaaS |
他们的想法、价值观和信念。
| 类别 | 需要回答的问题 |
|---|---|
| 价值观 | 对他们来说,职业上最重要的是什么? |
| 态度 | 他们如何看待所在行业的发展方向? |
| 动机 | 工作中的驱动力是什么? |
| 个性 | 分析型还是直觉型?领导者还是协作者? |
| 兴趣 | 他们在职业上阅读/观看/收听什么内容? |
| 生活方式 | 工作与生活的平衡偏好?远程/混合/办公室办公? |
他们想要达成的目标(包括职业和个人两方面)。
职业目标:
- 用更少的会议更快地发布功能
- 做出数据驱动的决策(而非凭直觉)
- 在2年内晋升为产品总监
- 建立一个更自主的产品团队
个人目标:
- 更常在下午6点前下班
- 被视为战略领导者,而非工单管理员
- 跟上行业趋势而不被信息淹没
尽可能量化。 模糊的痛点 = 模糊的画像。
❌ "报告有困难"
✅ "每周花费15小时为4个不同的利益相关者创建手动报告"
❌ "工具太多"
✅ "每天使用8个不同的工具(Jira, Slack, Notion, Figma, Analytics, Sheets, Docs, Email),没有统一视图"
❌ "会议是个问题"
✅ "平均每天6小时会议,只剩下2小时用于深度工作"
三种类型的待完成工作:
| 工作类型 | 描述 | 示例 |
|---|---|---|
| 功能性 | 他们需要完成的任务 | "根据客户影响数据对产品待办事项进行优先级排序" |
| 情感性 | 他们希望感受到什么 | "向高管团队展示时感到自信" |
| 社交性 | 他们希望如何被看待 | "被视为做出数据驱动决策的人" |
| 阶段 | 行为 |
|---|---|
| 认知 | 阅读博客文章,在LinkedIn上看到同行推荐 |
| 考虑 | 比较3-4个工具,阅读G2/Capterra评论,在Slack社区中提问 |
| 决策 | 要求演示,需要IT/安全部门批准,评估团队定价 |
| 影响者 | 工程主管,产品副总裁,CFO(负责预算) |
| 异议 | "我的团队真的会采用它吗?","它能与Jira集成吗?" |
| 触发事件 | 新季度有激进的目标,新副总裁要求更好的报告 |
# 匹配人口统计:年龄、性别、种族、职业背景
infsh app run falai/flux-dev-lora --input '{
"prompt": "professional headshot photograph of a 34-year-old Asian American woman, product manager, warm confident smile, modern tech office background, natural lighting, wearing smart casual blouse, realistic portrait photography, sharp focus",
"width": 1024,
"height": 1024
}'
头像提示:
同样重要的是:谁不是你的客户。
反向画像:"企业版厄尔"
- 5000人以上企业的首席技术官
- 需要SOC 2、HIPAA、本地部署
- 18个月的采购周期
- 需要白手套式入职和专属客户成功经理
- 为什么不是:我们的产品是面向SMB/中型市场的自助式SaaS。
满足企业需求需要2年以上的产品投入。
反向画像可以防止在无法服务的客户上浪费精力。
大多数产品有2-4个画像。超过4个 = 太多以至于无法很好地服务。
| 优先级 | 画像 | 角色 |
|---|---|---|
| 主要 | 主要用户和购买者 | 你为之优化的对象 |
| 次要 | 影响购买决策的人 | 你需要说服的对象 |
| 第三级 | 偶尔使用产品的人 | 你支持但不作为目标的对象 |
基于假设的画像只是虚构。通过以下方式验证:
| 方法 | 你能了解什么 |
|---|---|
| 客户访谈(5-10次) | 真实的语言,真实的痛点 |
| 支持工单分析 | 实际的问题,而非假设的问题 |
| 分析数据 | 实际的行为,而非报告的行为 |
| 调查(50+份回复) | 跨细分群体的量化模式 |
| 销售通话录音 | 异议、购买触发点、语言 |
| 错误 | 问题 | 解决方法 |
|---|---|---|
| 基于假设 | 虚构,而非研究 | 从数据开始 |
| 画像过多(6+) | 无法服务好所有人 | 最多3-4个 |
| 痛点模糊 | 不可操作 | 量化一切 |
| 只有人口统计 | 忽略了动机和行为 | 添加心理统计、待完成工作 |
| 从不更新 | 变得过时 | 每季度审查 |
| 没有反向画像 | 在错误的客户上浪费精力 | 定义你不为谁服务 |
| 单一画像适用所有 | 不同的用户有不同的需求 | 主要/次要/第三级 |
npx skills add inference-sh/skills@web-search
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@prompt-engineering
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Create data-backed customer personas with research and visuals via inference.sh CLI.
Requires inference.sh CLI (
infsh). Install instructions
infsh login
# Research your target market
infsh app run tavily/search-assistant --input '{
"query": "SaaS product manager demographics pain points 2024 survey"
}'
# Generate a persona avatar
infsh app run falai/flux-dev-lora --input '{
"prompt": "professional headshot photograph of a 35-year-old woman, product manager, friendly confident expression, modern office background, natural lighting, business casual attire, realistic portrait",
"width": 1024,
"height": 1024
}'
┌──────────────────────────────────────────────────────┐
│ [Avatar Photo] │
│ │
│ SARAH CHEN, 34 │
│ Product Manager at a Series B SaaS startup │
│ │
│ "I spend more time making reports than making │
│ decisions." │
│ │
├──────────────────────────────────────────────────────┤
│ DEMOGRAPHICS │ PSYCHOGRAPHICS │
│ Age: 30-38 │ Values: efficiency, data │
│ Income: $120-160K │ Personality: analytical, │
│ Education: BS/MBA │ organized, collaborative │
│ Location: Urban US │ Interests: productivity, │
│ Role: Product/PM │ leadership, AI tools │
├──────────────────────────────────────────────────────┤
│ GOALS │ PAIN POINTS │
│ • Ship features │ • Too many meetings │
│ faster │ • Manual reporting (15 │
│ • Data-driven │ hrs/week) │
│ decisions │ • Stakeholder alignment │
│ • Team alignment │ is slow │
│ • Career growth to │ • Tool sprawl (8+ apps) │
│ Director │ • No single source of │
│ │ truth │
├──────────────────────────────────────────────────────┤
│ CHANNELS │ BUYING TRIGGERS │
│ • LinkedIn (daily) │ • Peer recommendation │
│ • Product Hunt │ • Free trial experience │
│ • Podcasts (commute) │ • Integration with Jira │
│ • Lenny's Newsletter │ • Team plan pricing │
│ • Twitter/X │ • ROI calculator │
└──────────────────────────────────────────────────────┘
Start with data, not assumptions.
# Market demographics
infsh app run tavily/search-assistant --input '{
"query": "product manager salary demographics 2024 survey report"
}'
# Pain points and challenges
infsh app run exa/search --input '{
"query": "biggest challenges facing product managers SaaS companies"
}'
# Tool usage patterns
infsh app run tavily/search-assistant --input '{
"query": "most popular tools product managers use 2024 survey"
}'
# Content consumption habits
infsh app run exa/answer --input '{
"question": "Where do product managers get their industry news and professional development?"
}'
Use ranges, not exact values. Personas represent a segment, not one person.
| Field | Format | Example |
|---|---|---|
| Age range | X-Y | 30-38 |
| Income range | $X-$Y | $120,000-$160,000 |
| Education | Common degrees | BS Computer Science, MBA |
| Location | Region/type | Urban US, major tech hubs |
| Job title | Role level | Senior PM, Product Lead |
| Company size | Range | 50-500 employees |
| Industry | Sector | B2B SaaS |
What they think, value, and believe.
| Category | Questions to Answer |
|---|---|
| Values | What matters most to them professionally? |
| Attitudes | How do they feel about their industry's direction? |
| Motivations | What drives them at work? |
| Personality | Analytical vs intuitive? Leader vs collaborator? |
| Interests | What do they read/watch/listen to professionally? |
| Lifestyle | Work-life balance preference? Remote/hybrid/office? |
What they're trying to achieve (both professional and personal).
Professional:
- Ship features faster with fewer meetings
- Make data-driven decisions (not gut feelings)
- Get promoted to Director of Product within 2 years
- Build a more autonomous product team
Personal:
- Leave work by 6pm more often
- Be seen as a strategic leader, not a ticket manager
- Stay current with industry trends without information overload
Quantify whenever possible. Vague pain = vague persona.
❌ "Has trouble with reporting"
✅ "Spends 15 hours per week creating manual reports for 4 different stakeholders"
❌ "Too many tools"
✅ "Uses 8 different tools daily (Jira, Slack, Notion, Figma, Analytics, Sheets, Docs, Email) with no unified view"
❌ "Meetings are a problem"
✅ "Averages 6 hours of meetings per day, leaving only 2 hours for deep work"
Three types of jobs:
| Job Type | Description | Example |
|---|---|---|
| Functional | The task they need to accomplish | "Prioritize the product backlog based on customer impact data" |
| Emotional | How they want to feel | "Feel confident presenting to the exec team" |
| Social | How they want to be perceived | "Be seen as the person who makes data-driven decisions" |
| Stage | Behavior |
|---|---|
| Awareness | Reads blog posts, sees peer recommendations on LinkedIn |
| Consideration | Compares 3-4 tools, reads G2/Capterra reviews, asks in Slack communities |
| Decision | Requests demo, needs IT/security approval, evaluates team pricing |
| Influencers | Engineering lead, VP of Product, CFO (for budget) |
| Objections | "Will my team actually adopt it?", "Does it integrate with Jira?" |
| Trigger event | New quarter with aggressive goals, new VP demanding better reporting |
# Match demographics: age, gender, ethnicity, professional context
infsh app run falai/flux-dev-lora --input '{
"prompt": "professional headshot photograph of a 34-year-old Asian American woman, product manager, warm confident smile, modern tech office background, natural lighting, wearing smart casual blouse, realistic portrait photography, sharp focus",
"width": 1024,
"height": 1024
}'
Avatar tips:
Equally important: who is NOT your customer.
ANTI-PERSONA: "Enterprise Earl"
- CTO at a 5,000+ person enterprise
- Needs SOC 2, HIPAA, on-premise deployment
- 18-month procurement cycles
- Wants white-glove onboarding and dedicated CSM
- WHY NOT: Our product is self-serve SaaS for SMB/mid-market.
Enterprise needs would require 2+ years of product investment.
Anti-personas prevent wasted effort on customers you can't serve.
Most products have 2-4 personas. More than 4 = too many to serve well.
| Priority | Persona | Role |
|---|---|---|
| Primary | The main user and buyer | Who you optimize for |
| Secondary | Influences the buying decision | Who you need to convince |
| Tertiary | Uses the product occasionally | Who you support, not target |
Personas based on assumptions are fiction. Validate with:
| Method | What You Learn |
|---|---|
| Customer interviews (5-10) | Real language, real pain points |
| Support ticket analysis | Actual problems, not assumed ones |
| Analytics data | Actual behavior, not reported behavior |
| Survey (50+ responses) | Quantified patterns across segments |
| Sales call recordings | Objections, buying triggers, language |
| Mistake | Problem | Fix |
|---|---|---|
| Based on assumptions | Fiction, not research | Start with data |
| Too many personas (6+) | Can't serve everyone well | Max 3-4 |
| Vague pain points | Not actionable | Quantify everything |
| Demographics only | Misses motivations and behavior | Add psychographics, JTBD |
| Never updated | Becomes outdated | Review quarterly |
| No anti-persona | Wasted effort on wrong customers | Define who you're NOT for |
| Single persona for all | Different users have different needs | Primary/secondary/tertiary |
npx skills add inference-sh/skills@web-search
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@prompt-engineering
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