jtbd-extractor

Provide interview transcripts or notes, and the Skill identifies statements revealing what users are trying to accomplish, then formats each as "When [situation], I want to [action], so I can [outcome]." It looks beyond literal requests to the underlying goal.

Opportunity equals Importance plus (Importance minus Satisfaction), based on the Christensen/Ulwick framework. Higher scores indicate underserved jobs worth prioritizing, though scores inferred from limited qualitative data should be validated with quantitative research.

You need interview transcripts or notes, open-ended survey responses, support tickets, feature requests, or customer feedback. The Skill will not generate placeholder output without actual research data, and it can read files from your context folder.

Yes. If you maintain a personas.md context file, the analysis compares newly extracted jobs against existing persona JTBD statements and reports which jobs confirm, expand, or contradict your current understanding.

Importance and satisfaction scores estimated from a small set of interviews are directional only. The Skill flags low-confidence scores and recommends validating them with quantitative surveys before making prioritization decisions.