Design
Accelerating thematic analysis after interviews
AI supports early thematic clustering after interviews, helping speed up the first pass of qualitative analysis in the UX research workflow.
Why the human is still essential here
The researcher explicitly keeps ownership of the real interpretation, deciding what insights matter and how they should shape design decisions.
How people use this
First-pass theme extraction
AI scans interview transcripts and proposes early themes so researchers can move faster into deeper analysis and validation.
Dovetail AIAffinity clustering of highlights
AI groups notes and key quotes into rough affinity clusters that researchers can refine into defensible findings.
MarvinRepository-wide pattern detection
AI searches across multiple studies to surface repeated themes and recurring pain points that may not be obvious in a single project.
Condens AI