jtbd-analysis

To extract Jobs-to-be-Done statements from UX research interviews, provide your qualitative research data to the skill. It processes interview transcripts and survey notes to surface clear JTBD statements, transforming raw anecdotes into structured customer needs.

Functional, emotional, and social jobs in JTBD analysis represent distinct customer need categories. Functional jobs describe task execution, emotional jobs capture feelings, and social jobs relate to perception, enabling teams to classify and map identified jobs to specific product opportunities.

Yes, you can analyze survey data and ethnographic notes to identify customer jobs. The skill ingests diverse qualitative research data, including surveys and ethnographic inputs, to extract structured jobs-to-be-done statements and categorize them by job type.

To prioritize customer needs when mapping JTBD to product opportunities, the skill attaches a confidence score to each identified job. This confidence scoring evaluates functional, emotional, and social jobs to help teams focus on the highest priority requirements.

The best way to classify qualitative research data into job types is through automated JTBD extraction. The skill categorizes raw research inputs into functional, emotional, and social jobs, providing structured outputs with confidence scores for systematic analysis.

No specific data format dependencies are required for research ingestion. The skill processes qualitative text from UX research, interviews, and surveys to extract job statements, requiring only raw qualitative data to begin the end-to-end analysis process.