Trusted by 320,000+ designers, marketers, researchers, and product leaders to validate their decisions
Put your research to work
Ground your AI tools in real response data from your Lyssna studies, not the model's best guess.
Ask a question across multiple studies
No more digging through past studies one by one. Ask a question and get an answer pulled from across all of them.
Cross-study synthesis
Grounded in your actual research data
Your research data, wherever you're working
A stakeholder asks a question on short notice, you no longer have to open every study to answer it. Your assistant already has access to your results.
Conversationally query any of your results
Lyssna access permissions maintained
One connection, and your data is in the conversation
No more downloading a CSV and re-uploading it into your AI tool. Connect once, and your studies are already there.
One-time connection
No repository to maintain
Turn findings into action, alongside the tools you already use
Your research doesn't have to stay in its own tab. By connecting via MCP, a finding can become a task, a summary, or an update without the manual work.
Automate reporting
Every month, pull any new study responses and post a summary straight to the relevant Slack channel.
Spin up tickets from insights
Turn your study findings into a Linear project or task – customer quotes, and context included.
Share a written summary
Export a report summary straight to Notion for the rest of the team to reference, or create a deck.
See Lyssna's MCP in action
Trusted by industry leaders
From startups to global enterprises, leading teams rely on Lyssna to validate ideas, run studies, and make product decisions.
Get more from AI in your research
Resources for using AI throughout your research process.
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MCP for AI research
The Model Context Protocol (MCP) lets AI assistants answer questions using your real research data. Here's what MCP is and how to use it for user research.
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AI at Lyssna: Empowering researchers, not replacing them
Discover Lyssna’s approach to AI in user research and our guiding principles for building AI tools.
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AI UX research
AI UX research can turn weeks of analysis into hours, but not every task is ready to hand over. See where AI helps in 2026, and where judgment still wins.
