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".

7 stars

Best use case

jtbd-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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".

Teams using jtbd-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/jtbd-analyzer/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/artyomx33/jtbd-analyzer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/jtbd-analyzer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How jtbd-analyzer Compares

Feature / Agentjtbd-analyzerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

Related Skills

Portfolio Risk & Optimization Analyzer

7
from Demerzels-lab/elsamultiskillagent

**AI-powered crypto portfolio risk analysis with automated $BANKR buyback monetization.**

tiktok-video-analyzer

7
from Demerzels-lab/elsamultiskillagent

Analyze any video by dropping a URL.

crypto-market-analyzer

7
from Demerzels-lab/elsamultiskillagent

Cryptocurrency market analysis for Bitcoin and Ethereum.

akkadian-noun-analyzer

7
from Demerzels-lab/elsamultiskillagent

Akkadian noun analyzer using regex-based feature extraction. Use when working with ancient languages, linguistic analysis, or building morphological analyzers for historical languages.

log-analyzer

7
from Demerzels-lab/elsamultiskillagent

Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.

video-ad-analyzer

7
from Demerzels-lab/elsamultiskillagent

Extract and analyze content from video ads using Gemini Vision AI. Supports frame extraction, OCR text detection, audio transcription, and AI-powered scene analysis. Use when analyzing video creative content, extracting text overlays, or generating scene-by-scene descriptions.

sonarqube-analyzer

7
from Demerzels-lab/elsamultiskillagent

Analisa projetos no SonarQube self-hosted, obtém issues e sugere soluções automatizadas.

repo-analyzer

7
from Demerzels-lab/elsamultiskillagent

GitHub repository trust scoring and due diligence.

data-analyzer

7
from Demerzels-lab/elsamultiskillagent

Analyze data efficiently

config-analyzer

7
from Demerzels-lab/elsamultiskillagent

Analyze configuration files for validation and best practices

shelly-seo-analyzer

7
from Demerzels-lab/elsamultiskillagent

Analyze any webpage URL for SEO issues and get actionable recommendations.

shelly-competitor-analyzer

7
from Demerzels-lab/elsamultiskillagent

Analyze any company's competitive position in minutes.