Listen Labs is an AI research platform that conducts interviews with real people and converts the conversations into structured findings. Instead of a plain transcript, results show which concept customers prefer, how they felt while answering, how long they hesitated when they saw a price, and where stated opinions diverge from actual choices. Outputs include insight quotes tied to each question, ranked-choice breakdowns and a Say/Do gap score that points to the widest mismatches, such as sustainability or brand loyalty claims against purchase behavior. Access starts with a demo request.
The product fits insights teams, market researchers, product managers and brand strategists who need the depth of interviews without scheduling and moderating every call by hand. It also suits consumer goods, retail, travel and software companies testing messaging, packaging, pricing or layouts before launch. Agencies that run studies for several clients can use it to compare concepts quickly, and founders without a research department can get structured answers from real customers instead of guessing from survey checkboxes.
Typical scenarios include testing two ad or product concepts and seeing the percentage of participants who prefer each, ranking features such as legroom, boarding priority or luggage space for an airline, and checking whether shoppers who say they value privacy still accept every cookie. Teams also use it to measure emotional reactions to a new design, find the second-long pause when a price appears, and pull verbatim quotes for a readout deck. Findings help decide which concept to ship, what to change and what customers will actually pay for.
