You get a summary, but can you trust it? Is it hallucinating? Is it just telling you what you wanted to hear?
That’s only half the problem. User interview analysis shouldn’t mean hunting through transcripts. Your product manager opens Claude, your designer opens Vercel, and none of them have access to what customers actually said.
Great Question gives you research-grade AI you can trust, and connects it to the tools where decisions happen.
Why aren’t users adopting our AI features?
All backed by verbatim quotes you can verify in one click. This is what AI-powered user interview analysis actually looks like.
AI-tagged, transcribed, and searchable from day one.
AI generates a summary with key takeaways, video chapters, and tagged highlights the moment a session wraps. Skip the manual review entirely.
Explore AI Insights
An overview of what you learned: key insights by theme, quotes linked to their source, and a highlight reel of the top moments.
Explore AI Insights
Ask AI finds patterns across studies and backs every answer with verbatim quotes you can verify in one click.
Explore AI Insights
Connect your repository to Claude, Cursor, and the AI tools your team builds with. Ground every workflow in customer evidence.
Explore MCPGreat Question’s AI repository turns your UX research repository into a self-serve knowledge base, so everyone on your team makes research-backed decisions with confidence. That’s research democratization without the overhead.
“What do users say about navigation?”
Surface patterns across studies you didn’t know existed. Get the evidence you need to back your design decisions with confidence.
“Has feedback on Feature X changed since the update?”
Compare Q3 vs Q4 automatically. See if complaints dropped. Get the quotes to back it up in your next sprint planning.
“What did customers say about pricing?”
Stakeholders self-serve simple questions while you focus on strategic work. AI research synthesis amplifies your impact without adding to your workload.
“What evidence supports this product direction?”
Quick answers with proof for stakeholder presentations. Every insight backed by real customer quotes.
Research delivered 6x faster, 300+ studies annually, 10,000+ end users
“We’ve been connected with Great Question for about four years… Seeing that vision come to life has built tremendous trust.”
From single-digit contributors to 100+ people running research in year one
“One of the goals when we brought on Great Question was to grow the number of people comfortable running research. In that first year alone, we grew it from single digits to over 100 people running research at Brex.”
One ops person serves 45 teams as their “customer concierge”
“We went from this kind of long-ranging or highly strategic UXR work, and very little kind of day-to-day customer conversation, to immediate and constant customer conversation.”
2 of the Fortune 5 use Great Question
Every safeguard built in from the start, so you can share findings with confidence.
Every claim backed by verbatim quotes from your actual research. If the evidence isn’t there, Ask AI tells you instead of inventing something.
Speaker identification uses handles only. Real names never surface in AI responses.
AI validates that retrieved content actually answers your question before including it. No filler, no tangential results.
Ask something vague and Ask AI asks clarifying questions first. It helps you ask better questions, not just find convenient answers.
Granular visibility controls and data retention policies keep your research accessible to the right people.
SOC 2, GDPR, and HIPAA compliant with enterprise-grade infrastructure and audit-ready certifications.
More than a repository. Lightning-fast recruitment, every research method, and centralized research repository.
Find the right participants from CRM or external panels
Launch prototype tests, card sorts, surveys, or interviews with human or AI moderation
AI-powered synthesis, tagging, and query on all data
Distribute insights instantly across your org
Every project compounds value, helping you plan smarter, go deeper, and deliver insights faster at scale.
Ask AI supports a wide range of query types, so you can explore your research from virtually any angle.
Topic-based: “What feedback have users given about dashboard navigation?”
Time-based: “What usability issues came up in the last 6 months?”
Comparative: “How has sentiment about our onboarding changed over time?”
Prevalence: “How commonly do users mention the export feature as a pain point?”
Participant filtering: “What did enterprise customers say about pricing?”
Trend spotting: “What new themes are emerging in recent customer interviews?”
You can also scope questions to specific teams, studies, or time periods for more targeted results.
Comparing repository tools? Read our guide to UX research repository tools for a side-by-side breakdown of 8 platforms.
Every answer Ask AI generates is grounded in your actual research data. It ties each claim to a specific verbatim quote from a specific session, so you can verify any finding in one click. If the evidence isn’t in your repository, Ask AI tells you “not found” rather than making something up. It also validates that retrieved content actually answers your question before including it, so you never get filler or tangential results.
Yes. Ask AI is designed for researchers, product managers, designers, and executives alike. Researchers can use it for deep synthesis across studies, while stakeholders can self-serve simple questions without needing to wait. Granular role-based permissions let you control exactly who has access to which data and features.
Participant privacy is built into the foundation. Speaker identification uses handles only, so real names never surface in AI responses. Great Question is SOC 2, GDPR, and HIPAA compliant, with fine-grained visibility controls and data retention policies to keep your research secure and audit-ready.
Ask AI works across every research method supported by Great Question, including interviews, prototype tests, card sorts, surveys, and unmoderated tests. It searches transcripts, summaries, highlights, and tags from all of these study types. The more research you run, the more valuable Ask AI becomes as your repository grows.
A centralized, governed system where interviews, usability tests, surveys, and their insights are stored, tagged, and searchable across product, design, and research, with the permissions and taxonomy controls large organizations need to scale research without losing quality. Check out our comparison of the top research repository platforms for ResearchOps.
A research repository tool stores every study, transcript, insight, and artifact your team produces in one searchable place. Without one, insights decay, they live in individual Google Docs, Slack threads, and slide decks that nobody can find six months later. With one, every new study builds on everything that came before.
Every product manager, designer, and researcher on your team gets AI-powered customer insights they can trust. Backed by evidence from your entire UX research repository, available in any AI tool they already use.
