UserBit Research Repository is a centralized system for capturing, organizing, and analyzing UX research. It securely stores interviews, surveys, notes, and research artifacts in one structured workspace—so teams can preserve context, collaborate effectively, and build on past research instead of starting from scratch. UserBit enhances raw research with accurate AI-powered transcription, automatically converting audio and video sessions into taggable text. Research data is further enriched through AI-driven tagging and categorization, helping teams quickly surface themes, patterns, and evidence across studies. With insight automations, UserBit assists in identifying key findings, grouping related observations, and keeping insights connected to their original sources—ensuring traceability and trust. Each UserBit workspace also includes a Client Portal—a dedicated, shareable knowledge base for stakeholders. Product teams can publish research findings and insights in a clear, structured format, giving stakeholders easy access to evidence and outcomes without requiring them to learn a new tool or workflow. The result is a research repository that doesn’t just store data, but actively helps teams turn qualitative research into clear, actionable insights that remain accessible and reusable over time.