OpenClaw

jtbd-analyzer

Uncover the real "job" customers hire your product to do. Goes beyond features to understand functional, emotional, and social motivations. Use when user says "jobs to be done", "jtbd", "why do customers", "what job", "customer motivation", "what problem", "user needs", "why do people buy".

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install artyomx33/jtbd-analyzer

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Jobs-To-Be-Done Analyzer

The Core Concept

Customers don't buy products. They HIRE products to do a job.

"People don't want a quarter-inch drill. They want a quarter-inch hole." Actually: They want a shelf → to display photos → to feel proud of family.

The Three Job Dimensions

Dimension	Question	Format
Functional	What task needs doing?	"Help me [verb] [object]"
Emotional	How do I want to feel?	"Make me feel [emotion]"
Social	How do I want to be seen?	"Help me be seen as [quality]"

The Process

Job Statement: "When [situation], I want to [motivation], so I can [outcome]"
Map all 3 dimensions for each user type
Find real competition: What ELSE could do this job?
Prioritize: Which jobs are most critical and underserved?

Output Format

PRODUCT: [What you're analyzing]

For [User Type]:
JOB: "When [situation], I want [motivation], so I can [outcome]"

📋 FUNCTIONAL: [Task to accomplish]
💜 EMOTIONAL: [Feeling desired]
👥 SOCIAL: [Perception desired]

ALTERNATIVES: [What else could do this job?]
UNDERSERVED: [What part isn't done well?]
PRIORITY: Critical / Important / Nice-to-have

Key Questions

"What were you trying to accomplish when you [action]?"
"Walk me through the last time you needed to [job]"
"What would you do if [product] didn't exist?"
"What's frustrating about how you currently [job]?"

Integration

Compounds with:

first-principles-decomposer → Decompose job to atomic need
cross-pollination-engine → Find how others solve similar jobs
app-planning-skill → Use JTBD to inform features

See references/examples.md for Artem-specific JTBD analyses

来源信息

Source: github
Repository: openclaw/skills
Path: skills/artyomx33/jtbd-analyzer
Version: —
Commit: 8e9a27e855f0e44082736f5e955f3919ab9565bd
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Jobs-To-Be-Done Analyzer

## The Core Concept

Customers don't buy products. They HIRE products to do a job.

"People don't want a quarter-inch drill. They want a quarter-inch hole."
Actually: They want a shelf → to display photos → to feel proud of family.

## The Three Job Dimensions

| Dimension | Question | Format |
|-----------|----------|--------|
| **Functional** | What task needs doing? | "Help me [verb] [object]" |
| **Emotional** | How do I want to feel? | "Make me feel [emotion]" |
| **Social** | How do I want to be seen? | "Help me be seen as [quality]" |

## The Process

1. **Job Statement:** "When [situation], I want to [motivation], so I can [outcome]"
2. **Map all 3 dimensions** for each user type
3. **Find real competition:** What ELSE could do this job?
4. **Prioritize:** Which jobs are most critical and underserved?

## Output Format

```
PRODUCT: [What you're analyzing]

For [User Type]:
JOB: "When [situation], I want [motivation], so I can [outcome]"

📋 FUNCTIONAL: [Task to accomplish]
💜 EMOTIONAL: [Feeling desired]
👥 SOCIAL: [Perception desired]

ALTERNATIVES: [What else could do this job?]
UNDERSERVED: [What part isn't done well?]
PRIORITY: Critical / Important / Nice-to-have
```

## Key Questions

1. "What were you trying to accomplish when you [action]?"
2. "Walk me through the last time you needed to [job]"
3. "What would you do if [product] didn't exist?"
4. "What's frustrating about how you currently [job]?"

## Integration

Compounds with:
- **first-principles-decomposer** → Decompose job to atomic need
- **cross-pollination-engine** → Find how others solve similar jobs
- **app-planning-skill** → Use JTBD to inform features

---
See references/examples.md for Artem-specific JTBD analyses

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