--- id: sm-customer-persona name: "customer-persona" url: https://skills.yangsir.net/skill/sm-customer-persona author: inferen-sh domain: marketing tags: ["market-research", "user-research", "target-audience", "marketing-strategy", "buyer-personas"] install_count: 6468 rating: 4.50 (259 reviews) github: https://github.com/inferen-sh/skills --- # customer-persona > 深入分析并创建详细的客户画像，帮助企业精准定位目标受众，优化营销策略。 **Stats**: 6,468 installs · 4.5/5 (259 reviews) ## Before / After 对比 ### 精准构建用户画像与营销策略 ## Readme # customer-persona # Customer Persona Create data-backed customer personas with research and visuals via [inference.sh](https://inference.sh) CLI. ## Quick Start Requires inference.sh CLI (`infsh`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md) ``` 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 }' ``` ## Persona Template ``` ┌──────────────────────────────────────────────────────┐ │ [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 │ └──────────────────────────────────────────────────────┘ ``` ## Building a Persona Step-by-Step ### Step 1: Research 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?" }' ``` ### Step 2: Demographics **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 ### Step 3: Psychographics 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? ### Step 4: Goals 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 ``` ### Step 5: Pain Points **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" ``` ### Step 6: Jobs-to-be-Done (JTBD) 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" ### Step 7: Buying Process 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 ### Step 8: Generate Avatar ``` # 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:** - Match the age range, ethnicity representation, and professional context - Use "professional headshot photograph" for realistic results - Friendly, approachable expression (not stock-photo-stiff) - Background suggests their work environment - Business casual or industry-appropriate attire ## The Anti-Persona 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. ## Multiple Personas 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 ## Validation 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 ## Common Mistakes 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 ## Related Skills ``` 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 ``` Browse all apps: `infsh app list` Weekly Installs4.4KRepository[inferen-sh/skills](https://github.com/inferen-sh/skills)GitHub Stars159First Seen6 days agoSecurity Audits[Gen Agent Trust HubPass](/inferen-sh/skills/customer-persona/security/agent-trust-hub)[SocketWarn](/inferen-sh/skills/customer-persona/security/socket)[SnykWarn](/inferen-sh/skills/customer-persona/security/snyk)Installed onclaude-code3.5Kgemini-cli3.1Kcodex3.1Kamp3.1Kgithub-copilot3.1Kkimi-cli3.1K --- *Source: https://skills.yangsir.net/skill/sm-customer-persona* *Markdown mirror: https://skills.yangsir.net/api/skill/sm-customer-persona/markdown*