Third Ear is an AI-powered voice research platform that helps you create interviews faster, collect richer qualitative responses, and turn them into traceable insights.
Generate an interview from a prompt, then edit and refine.
Voice-first responses with optional text mode.
Themes and summaries linked back to the source.
We're building the Craigslist for research: a simple place where anyone can create an interview, share it with respondents, and get transcripts back, without enterprise contracts, sales calls, or complicated tooling.
Our users are casual researchers: grad students, independent researchers, NGOs, policy teams, community organizers, and everyday decision-makers who need to make a case with real human input. Sometimes you're running a real study. Sometimes you're just trying to pick a date for a party and get consensus from friends. Either way, the goal is the same: hear from people quickly and clearly.
There are slicker tools out there. But most are built for enterprises: closed platforms, long contracts, expensive minimums.
Whether you want a quick summary or a rigorous dataset you can export and analyze yourself, Third Ear helps you go from question → interviews → insights in hours, not weeks.
Create, test, and deploy interviews faster — then turn responses into usable, shareable insights for your next decision.
Start from a prompt, then refine your questions.
Choose the response format that fits your audience.
Get structured data you can review and share.
Themes, summaries, and breakdowns at scale.
Our team believes that good research starts with thoughtful questions and ends with clear, reliable evidence you can confidently understand and trust.
Collect rich qualitative data and turn responses into traceable insights.
Have questions about Third Ear, want to explore a collaboration, or need help choosing the right research setup? We're always open to thoughtful conversations.
Reach out to discuss research use cases, product feedback, or partnership opportunities.