AI User Research Repository
A searchable research workspace that turns interviews, notes, and observations into tagged insights, evidence trails, and product decisions.
What it does
The repository, tagging, search, evidence linking, and AI summarization are practical MVP features. High-fidelity transcription at scale, longitudinal participant identity resolution, and statistically rigorous research synthesis need specialized integrations and careful validation.
The repository, tagging, search, evidence linking, and AI summarization are practical MVP features. High-fidelity transcription at scale, longitudinal participant identity resolution, and statistically rigorous research synthesis need specialized integrations and careful validation.
Build prompt
Build an AI user research repository for product designers, founders, and researchers. Include projects, interview uploads or pasted notes, searchable atomic insights, tags for themes and customer segments, evidence links back to source notes, an affinity-map style board, and a decision log. Add AI to transcribe or summarize interviews, suggest themes, cluster duplicate insights, surface contradictions, and draft opportunity statements. Make the UI feel like a premium research tool: dense but calm, with split-pane reading, colored insight tags, source citations, and excellent filtering.
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