Jobs-to-be-Done Extractor with AI

# Jobs-to-be-Done Extractor — SoloStack Skill File
> Drop this file into your SoloStack repo and Claude Code will use it as
> context to run this workflow automatically.
---
## Overview
Turn raw customer research into Jobs-to-be-Done statements that reveal what users are really trying to accomplish — beyond surface-level feature requests.
## Capabilities
1. **JTBD statement extraction** — Properly formatted "When [situation], I want to [action], so I can [outcome]" statements pulled from interview transcripts, survey responses, or support tickets.
2. **Functional / emotional / social jobs** — Separates jobs into three layers so you see what users do, how they want to feel, and what they want others to think.
3. **Opportunity scoring** — Importance + (Importance - Satisfaction) to show which jobs are underserved — where you can win.
4. **Feature → need translation** — Maps what users asked for to what they actually need. Stops you building the wrong thing politely.
5. **Evidence tracking** — Every JTBD statement linked back to the quote or behaviour that supports it. No invented insights.
## Pipeline
## Use Cases
- **Reframe feature requests:** Take 20 customer feature requests and surface the 3 underlying jobs they're really asking you to solve.
- **Find innovation opportunities:** In a saturated market, the unmet jobs are where the next wave of products will be built.
- **Train your team to think in jobs:** Onboard new PMs and designers on how to interview for jobs instead of features.
## Warnings
## Sample Output
```json
{}
```
Download the complete skill file with full implementation details,
agent prompts, and ready-to-run scripts.