Compress the research operations cycle — recruiting, scheduling, transcription, tagging, and cross-study pattern detection — so researchers spend time on judgment and synthesis rather than logistics.
Great Question screens and schedules research participants through an AI-assisted flow, eliminating back-and-forth calendar coordination. Concurrent Maze prototype tests analyze task paths in real time, generating friction maps before the interview series ends. Great Question feeds recordings into Dovetail, which auto-transcribes, applies the research tagging taxonomy, and surfaces cross-study patterns including connections to 7-month-old studies. BuildBetter.ai adds signals from support tickets and NPS verbatims to strengthen the research case.
Dovetail replaces the spreadsheet-and-shared-folder approach most teams use. It's designed to be the single repository for all research artifacts with AI making the archive searchable and connectable across studies. Teams typically migrate entirely from Confluence-based research libraries.
Dovetail is the strongest purpose-built option for qualitative interview analysis, particularly for teams doing ongoing research who need cross-study pattern detection. For primarily unmoderated prototype testing, Maze is the more focused tool.
Great Question is designed to work well for individual researchers. The Starter plan at $49/month covers recruiting, scheduling, and basic repository features. The operational overhead it removes — calendar management, screener distribution, reminder emails — is most impactful for solo researchers without a research ops coordinator.