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Agentic Moderation
✓ live now for interviews, surveys and prototype tests
Great Question now has its own agentic moderator
An agentic moderator that holds a real conversation, adapts to what participants say, and returns the recording and transcript to the study you already work in. Live now for interviews, surveys and prototype tests.


Great Question AI: the research platform your AI can actually run
Great Question AI is a GPT-4-powered assistant that helps level up your research synthesis and simplify your research operations. Try it free for 30 days.
Changelog
See allNew: a dedicated Questions tab breaks a study down question by question with an outline rail, report themes under open-ended questions, and completion counts for prototype tests and tasks
the research assistant can cut and revise highlight reels in chat and search transcripts for quotes on any topic; study analysis reports are now available on every account. Improved: quote citations seek the recording to the cited moment; long searches no longer trigger a false stall notice. Fixed: partial responses kept out of analysis surfaces, skips recorded as real skips, required screen share restored mid-session, recordings no longer clipped at the start, multi-segment recordings joined in full, screen-share sessions play as video, failed reels marked failed, AI-moderated highlights add to reels, recording waits for consent, chat scroll steadied, and spoken 'continue' requests advance the session.
New: AI moderated interviews and AI moderated prototype tests (beta) can be launched from the study creation page
integrations can subscribe to a participation.booked webhook and read the moderator from the participant API; a combined recruitment and incentive spend report exports per-study fees, incentives spent, and unspent allocations in one CSV. Improvements: large participation CSV exports complete reliably; Google Meet and Microsoft Teams links are created before calendar invites go out; the AI moderated participant table shows live recording status. Fixes: bulk invite batches keep custom messages, duplicate participations from self-scheduling, recruitment credit refunds on study close, Edit booking on externally recruited sessions, transcript deep-links, public recording playback, livestream rescheduling, highlight reel processing, recording re-imports, manual interview locations, candidate ordering, and team assignment on new studies.
New: keep multiple AI chats on one study and switch between them from the top bar
the study workspace adds dedicated Setup, Results, and Report tabs with a shareable report URL; report highlight reels can now stitch multiple clips into a single video; the researcher chat can read your study report. Improved: reports place charts and reels inline beside the findings they support, draw on your research plan, and are easier to scan with scaled headings, numbered citations, and an evidence carousel; AI-moderated sessions resume after a dropped connection; the sidebar remembers its collapsed state. Fixed: sub-steps can be removed from the workflow outline; moderation waits for prototypes to load; device-setup speech is kept out of transcripts; background moderation hiccups no longer mark sessions as no-shows; voice defaults off outside AI-moderated studies; report evidence slideouts focus the clicked theme; new chats show their title without a refresh; teammates' studies no longer replay the research goal as a first chat message.
Moderator in the participants API
GET /v1/studies/:id/participants now returns a moderator object (user_id, name, email) for each participant, so API and MCP consumers can see who is running a session without a second lookup. The field is nullable and returns null when no moderator is assigned. The user_id matches the id returned by GET /v1/interviews/:id/moderators, so you can join the two endpoints directly.
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