affinity-mapping

Cluster qualitative research notes into themes by running an affinity-mapping pass that automatically groups transcripts and findings into thematically related clusters. This process organizes scattered qualitative data into structured Nuggets, Facts, and Insights.

Affinity mapping is a technique that auto-clusters qualitative data like notes and transcripts into thematically organized groups. It applies a plan-execute-validate-report workflow to iteratively refine groupings and preserve source provenance.

Yes, you can interactively refine thematic groupings after auto-clustering your research notes. The workflow supports iterative refinement, allowing you to adjust groupings and re-score associations as new qualitative data arrives.

The best way to organize qualitative transcripts into insights is using an affinity-mapping workflow that outputs Nuggets, Facts, Insights, and Recommendations. This approach preserves source references and attaches confidence scores to validate themes.

Yes, affinity mapping preserves source references for research nuggets. It maintains provenance throughout the clustering process and attaches confidence scores to themes and insights, ensuring traceability back to original qualitative data.