


What is Listen Labs?
Listen Labs is an AI-powered customer research platform that conducts interviews and analyzes customer feedback. It recruits participants, asks personalized follow-up questions, and creates detailed reports that help market researchers and product teams understand customer needs in hours instead of days.
What sets Listen Labs apart?
Listen Labs distinguishes itself through its fraud detection system that reduces invalid research responses from 20% to nearly zero, saving research leaders countless validation hours. The platform's visual feedback feature captures authentic customer reactions on video, allowing product developers to see their items in use across different body types and demographics. Research teams can conduct simultaneous studies across multiple global markets in their native languages, expanding research reach without the traditional barriers of translation or local recruitment.
Listen Labs Use Cases
- AI customer interviews
- Survey analysis automation
- Product concept testing
- Market research insights
Who uses Listen Labs?
Features and Benefits
- Conduct personalized customer interviews at scale through an AI interviewer that asks follow-up questions and adapts to responses.
AI-Moderated Interviews
- Transform interview data into actionable insights with automatic generation of key takeaways, personas, and theme identification.
Instant Research Analysis
- Access millions of pre-qualified participants across demographics and geographies or integrate your own recruitment sources.
Global Participant Recruitment
- Collect customer feedback through video, audio, or text responses in over 50 languages with automatic translation.
Multi-Format Responses
- Test various stimuli including videos, images, landing pages, and Figma prototypes to gather comprehensive user feedback.
Multimedia Testing
Listen Labs Pros and Cons
Large variety of voice options available for text-to-speech conversion
Easy to create voiceovers for videos and presentations
Helpful for creating content in multiple languages
Founder historically very responsive to user feedback
Lack of technical support when issues arise
Platform appears abandoned with minimal updates
Reliability issues with text-to-speech conversion
Limited voice options for certain languages