Why it matters
Ask AI surfaces insights you didn’t know existed, it searches all of your studies automatically, so you don’t need to know which study to check. Every claim is tied to a verbatim participant quote with a link to the source session, so you can hover to preview and click to jump to that moment in the recording. You can synthesize across studies in seconds, asking big-picture questions and getting structured themes with supporting quotes spanning multiple studies and time periods. And because product managers, designers, and executives can self-serve simple questions, research stays accessible to your whole team.Who is it for?
How to access Ask AI
- Navigate to the Repository and open the Ask AI tab in the header.
- Check the scope of your query. By default, Ask AI searches the entire repository, use the source filter to narrow to specific teams, studies, or sessions.
- Type a focused question (for example, “What onboarding issues did users mention?”).
- Review the response, including linked quotes and study context.
You can multi-select teams, studies, or sessions to focus your query on exactly the interviews you want the AI to consider.
What kinds of questions can I ask?
How Ask AI works
Ask AI is an agentic system that thinks strategically, not just a keyword search tool. When you ask a question, it develops a search strategy, chooses the right approach, and executes multiple searches from different angles to find the best answer, up to a handful of search rounds per question. It’s discovery-first: rather than demanding filters upfront, it searches broadly and shows you what exists, revealing temporal patterns, coverage gaps, and refinement options based on what it finds. It uses semantic understanding to match intent, not just keywords, ask about “checkout problems” and it finds mentions of “payment failed,” “couldn’t complete order,” and “card was declined.” And it performs cross-study synthesis, identifying patterns across studies and time periods and reporting prevalence counts (for example, “8 of 12 participants mentioned this”) so you can gauge how widespread a theme is. At the repository level, Ask AI searches transcripts and study summaries. When you’re chatting from inside a specific study or session, it also has access to that study’s highlights.Key features
Citations linked to recordings. Every answer includes verbatim quotes with full source attribution, session ID, study name, date, and participant context. Click any quote block to jump directly to that moment in the recording.
Cut a highlight reel from chat
When you’re chatting in a study’s scope, you can ask the assistant to cut a highlight reel: a short stitched video of several participants making the same point in their own voices. Ask in plain language, for example “make a highlight reel of the frustration around pricing” or “cut a supercut of the moments people got stuck at checkout.” Here’s what happens:- The assistant scans the study’s transcripts for quotes that express the theme you described. Every candidate quote is checked word-for-word against the transcript before it’s used, so a quote the assistant can’t find verbatim never makes it into a reel.
- It curates a short composition, spreading clips across participants so the theme reads as several voices rather than one person three times. A reel holds up to 6 clips and 90 seconds of video. If your request could mean several different reels, the assistant shows you the shortlist and asks you to pick the moments.
- Great Question derives each clip’s timing from the recording’s own transcript and re-checks every participant’s consent before their video is used.
- A reel card appears right in the conversation. While the video stitches, the card shows the title, the theme you asked for, and every clip going in. Stitching takes a few minutes, and the card swaps to a playable video in place when it’s ready. You don’t need to keep the chat open, the card catches up when you come back.
Why some quotes are skipped
Quotes that can’t be included aren’t silently dropped. The assistant reports each skipped quote with its reason:Revising a reel
A stitched video can’t be edited, so a revision is a new reel, not an edit. Ask the assistant to swap, add, or remove clips and it cuts a fresh video with the revised composition, linked to the reel it revises. The earlier version stays in the conversation and keeps playing. Cutting or revising a reel requires edit access to the study. Anyone with view access to the study can watch a reel and ask the assistant about its composition. Reels built manually from tagged highlights work differently — see Reels.Best practices
Start specific, then broaden, ask topic-based questions first rather than “summarize everything,” and you’ll get tighter results. Use follow-ups to refine, since Ask AI maintains context across the conversation. Always review the linked quotes to validate a finding before sharing it. Scope your search with the source filter when you know where to look, and use the full repository scope when you’re exploring. If results feel off, check transcript quality, Ask AI is only as good as the transcripts it searches.Trust and security
Repository-level vs. study-level Ask AI
Ask AI (repository-level) searches across all interviews in scope to surface patterns and quotes spanning multiple studies. Use it when you’re synthesizing, exploring, or don’t know which study has the answer. Ask AI in a study or session answers questions within a single study or session, and additionally has access to that scope’s highlights. Use it when you’re deep in one interview and want to find specific moments or themes within that context.Troubleshooting
Frequently asked questions
How does Ask AI prevent hallucinations? Every answer is grounded in your actual research data, with each claim tied to a specific verbatim quote from a specific session. If the evidence isn’t in your repository, Ask AI tells you “not found” rather than making something up. Can my whole team use Ask AI? Yes. It’s designed for researchers, product managers, designers, and executives alike, and granular role-based permissions let you control exactly who has access to which data and features. How is participant privacy protected? Speaker identification uses handles only, so real names never surface in AI responses. Does Ask AI work with all research methods? It works across studies that have transcribed sessions, interviews, unmoderated tests, and standalone recordings. Research methods without spoken content, like a pure card sort or tree test with no narration, don’t have a transcript for it to search. What sessions can I access? Ask AI respects all existing team permissions and study visibility settings; you can only search studies and sessions you already have permission to view. Your chat history is private to you — teammates don’t see the list of conversations you’ve had. Individual chats become viewable only when you share their link with someone on your account.Still need help? Contact us at support@greatquestion.co — median response time is 19 minutes during support hours.