Listen Labs

Listen runs video conversations with participants and adjusts its follow-up questions on the fly. The moderator reads cues like a pause or a change in tone and digs into them, which is closer to what a trained interviewer does than a fixed survey script. You can feed it background on your field first so it behaves like a subject matter expert. The same setup scales to hundreds of interviews running at once, in more than a hundred languages according to the company. That scale is the point.

You don't have to find participants yourself. Listen qualifies respondents from its own network, which it describes as tens of millions of people, including audiences that are usually hard to reach. If you already have a list, you can skip the panel and share a direct link instead. Mixing both is allowed, which helps when you want a broad sample plus a few known customers. No recruiting spreadsheet required.

The study builder drafts objectives, questions, and probing context from a short brief. You can describe your goal in plain language and get a usable guide in minutes, or upload an existing guide and let the AI parse it. That front-loaded step is where a lot of manual research time usually disappears. Type a goal. Get a guide.

Once interviews finish, Listen reviews the transcripts and produces themes, ranked findings, and highlight reels, plus boardroom-ready slide decks. It also surfaces things like emotional signals and the gap between what people say and what they actually do. Every claim links back to a real interview, so you can check the source when a number gets questioned. No more hand-coding transcripts at midnight.

Past studies don't disappear into a folder. Listen stores them so you can search across previous projects and reuse themes and reports. The company frames it as compounding knowledge: the more you run, the richer the workspace gets, and over time a team can search across months of past studies instead of rebuilding its understanding of a market from scratch every single quarter. Ask yourself how much of last year's research your team can actually find right now.

Studies aren't limited to one region or one language. The platform fielding works around the clock across many languages, which suits brands testing several markets at once. When you need the same question answered in Tokyo, Sao Paulo, and Berlin before your Monday standup, one study can cover all three. Cross-market comparison is baked in rather than bolted on after translation.

Survey tools count votes. Listen Labs is closer to qualitative research software, because it chases the why behind an answer. It captures hesitation, emotion, and the gap between what people say and do, then lets you trace any theme back to the interview that produced it.