empathy-mapping

To map interview transcripts into Says/Thinks/Does/Feels quadrants, provide your qualitative research data and context to generate structured outputs with source references, identified contradictions, and confidence scores.

Empathy mapping in qualitative UX research organizes interview data into Says/Thinks/Does/Feels quadrants to surface contradictions, translating ethnographic datasets into actionable insights with structured sources and confidence scores.

To detect contradictions between what users say and do, apply empathy mapping to your interview transcripts to identify inconsistencies across Says/Thinks/Does/Feels quadrants and generate structured insights with confidence scores.

You can use this for customer interview analysis by providing raw interview transcripts and context; the process automatically structures findings into Says/Thinks/Does/Feels quadrants with source references and confidence scores.

The best way to organize ethnographic datasets into actionable insights is mapping data into Says/Thinks/Does/Feels quadrants, which surfaces contradictions and produces structured outputs with sources, insights, and confidence scores.

You need to provide interview transcripts and context to generate empathy map insights; the process extracts findings directly from this qualitative data to produce structured Says/Thinks/Does/Feels outputs with source references.