AI User Research Repository
A searchable research workspace that turns interviews, notes, and observations into tagged insights, evidence trails, and product decisions.
The 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.
FAQ
Can AI build AI User Research Repository?
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.
How hard is it to build AI User Research Repository with AI?
It's rated Intermediate. Medium
What tools do I need to build AI User Research Repository?
We recommend building it with Base44.
How long does it take to build AI User Research Repository with AI?
Estimated build time: 4-6 hours.
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