What problem does it solve?
Converts scattered qualitative and quantitative research artifacts into clear, evidence-backed findings and prioritized opportunity areas so product teams can make confident decisions faster.
Core Features & Use Cases
- Thematic analysis: Systematic coding of interview notes, survey responses, and support tickets to surface recurring themes and contradictions.
- Affinity mapping & persona building: Cluster observations into meaningful groups and derive evidence-based personas that guide design and prioritization.
- Qual-Quant integration & opportunity sizing: Triangulate across methods, estimate addressable users, frequency, severity, and confidence, and produce ranked opportunities with assumptions and supporting evidence.
- Use Case: Turn a set of 20 interviews, 300 open-ended survey responses, and product analytics into a one-page synthesis of top themes, 3 personas, and a ranked list of product opportunities with estimated impact ranges.
Quick Start
Synthesize these interview notes, survey responses, and analytics into a prioritized list of themes, evidence-backed personas, and opportunity scores with clear assumptions and recommended next steps.