Product Research
Upload customer research — interviews, surveys, feedback, analytics — and let AI analyze it to generate feature proposals with full technical specifications.
Product Research Overview
Video coming soon
Three Tabs
Library
Upload and manage your research documents. Supports text, PDF, CSV, and JSON files. Tag each document with a type for better organization.
Analyze
Select documents from your library, ask a question, and the AI generates insights along with 3 actionable feature proposals.
Proposals
Browse, vote on, track status, and build from AI-generated proposals. Each proposal is a complete feature specification.
What You Get Per Proposal
- Title and description — Clear feature definition
- Strategic rationale — Why this feature matters
- Supporting evidence — Direct quotes from your research documents
- Impact assessment — High, Medium, or Low impact rating
- Technical sketch — UI changes, data model, and API changes
- Development tasks — Ordered list of implementation steps
How to Use
- Open your workspace and click Research in the sidebar
- Upload research documents in the Library tab
- Select documents, then switch to the Analyze tab
- Enter a question like "What should we build next?"
- Choose an AI model and click Generate (~1-4 credits depending on document size)
- Review proposals → Vote → Change status → Create Project to start building
Document Types
| Type | Best For |
|---|---|
| Interview | User interview transcripts |
| Survey | Survey responses and results |
| Analytics | Usage data and metrics reports |
| Feedback | Customer feedback and reviews |
| Support Ticket | Support conversations and complaints |
| Other | Any other research material |
Proposal Workflow
Each proposal follows a status workflow: Proposed → Approved → In Development → Completed (or Rejected).
Use voting to prioritize proposals across your team, then move the best ones into development.
Tips
- Upload diverse sources: Combine interviews, surveys, and analytics for richer insights
- Ask specific questions: "What onboarding improvements do users want?" beats "What should we build?"
- Run multiple analyses: Different questions on the same documents surface different insights
Product Research Walkthrough
Video coming soon