InsightKeeper is an AI-powered platform that helps UX, product, and research teams capture, manage, and share user research insights more effectively. Instead of letting valuable feedback and discovery data remain scattered in docs, recordings, or slide decks, InsightKeeper transforms it into a searchable, shareable, and collaborative knowledge base.
Whether you’re conducting customer interviews, usability tests, or product discovery, InsightKeeper ensures that your research translates into actionable insights—accessible to everyone across your organization. The platform uses AI to extract key takeaways from transcripts, link related insights, and help teams make faster, evidence-based decisions.
Features
AI Insight Extraction: Automatically identify and summarize user insights from research transcripts and notes.
Centralized Repository: Keep all qualitative data in one searchable workspace, including interviews, observations, and quotes.
Tagging and Theming: Organize insights using custom tags, themes, and personas for better synthesis and navigation.
Highlight and Annotate: Quickly highlight quotes or moments and convert them into insights.
Collaborative Workflows: Share insights across teams with links, dashboards, and Slack or Notion integrations.
Search and Filter: Use keyword, tag, or theme-based filtering to quickly locate relevant insights.
Data-Backed Decision Making: Link product decisions to real user feedback and make research traceable.
How It Works
Upload Your Research: Import transcripts, notes, or recordings from interviews, user tests, or discovery sessions.
AI Insight Generation: The AI scans your content and surfaces key insights, themes, and quotes.
Tag and Organize: Add custom tags, link insights to personas, or cluster findings into thematic groups.
Share Across Teams: Generate insight reports, share via URLs, or integrate with Slack and Notion.
Search and Reference: Use the repository as a single source of truth for future product or UX decisions.
This process helps teams move from data collection to decision-making faster and more collaboratively.
Use Cases
UX Researchers: Analyze interviews and usability studies to extract and share findings efficiently.
Product Managers: Align product roadmaps with real user needs and evidence-backed insights.
Customer Experience Teams: Centralize NPS, feedback, and survey results for cross-team access.
Designers: Use verbatim user quotes and pain points to inform UI/UX iterations.
Founders and Growth Teams: Validate product ideas and prioritize features based on real feedback.
Pricing
As listed on InsightKeeper’s official website:
Free Plan
Up to 5 insights
Basic AI summary tools
Single workspace
Ideal for small teams or solo UX researchers
Pro Plan – $29/month per user
Unlimited insights and tagging
Full access to AI-powered extraction
Team collaboration and sharing tools
Slack and Notion integration
Designed for product and design teams
Enterprise Plan – Custom Pricing
Multiple workspaces and team roles
Advanced permissions and audit logs
API access
Priority support and onboarding
Suitable for large organizations and research departments
A 14-day free trial is available for Pro and Enterprise plans.
Strengths
Purpose-built for user research and product discovery
AI summarizes research quickly and accurately
Enables faster alignment between research and product teams
Centralizes fragmented research in one place
Offers excellent team collaboration and visibility tools
Drawbacks
Currently focused on qualitative data—quantitative integrations are limited
Best suited for research-heavy organizations, less useful for casual use
Pricing may be high for small startups with minimal research operations
Limited export options beyond platform sharing
Comparison with Other Tools
InsightKeeper vs Dovetail
Dovetail is a comprehensive research repository platform. InsightKeeper provides faster AI-driven extraction and simpler workflows, ideal for fast-moving teams.
InsightKeeper vs Notion
Notion is flexible for documentation but lacks native research-specific features like tagging, insights, and AI extraction. InsightKeeper fills that niche.
InsightKeeper vs Condens
Condens offers tagging and repository features similar to InsightKeeper but requires more manual effort. InsightKeeper emphasizes speed via AI assistance.
Customer Reviews and Testimonials
Early users have shared strong feedback about InsightKeeper’s time-saving capabilities:
“I used to spend hours manually tagging interviews—now I get usable insights in minutes.”
“InsightKeeper helps our whole team stay in sync with what users are saying.”
“This tool bridges the gap between research and product decisions.”
These testimonials highlight its growing popularity among agile research teams and product-led startups.
Conclusion
InsightKeeper is a next-generation tool for research-driven teams who want to centralize, extract, and act on user insights faster. By turning raw interviews and feedback into clear, tagged, and shareable knowledge, it closes the loop between research and decision-making.
Whether you’re running a UX research sprint, aligning product direction with user needs, or synthesizing customer interviews, InsightKeeper offers the tools to help you do it smarter, faster, and with greater clarity.
