Listen vs Remesh
Remesh and Listen take different approaches to scaling qualitative research. Remesh runs live group sessions where participants vote on each other's responses. Listen runs thousands of parallel 1:1 AI-moderated interviews, async across video, voice, and text, preserving individual depth while matching group-format scale.
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Individual depth, not group consensus
Remesh's group voting aggregates consensus, averaging out the personal story behind each opinion. Listen interviews each participant 1:1, in parallel, so you walk away with hundreds of complete narratives instead of voted-up themes.
Curated recruitment, not commodity panels
Remesh recruits through panel partners; quality varies. Listen's recruitment ops team builds custom, pre-vetted audiences from a 30M+ verified network across 190+ markets, with real-time fraud detection.
Async, not scheduled sessions
Remesh's signature Live format requires participants to join a scheduled group session. Listen runs every interview async across video, voice, and text, so participants respond on their own time and you can run studies across timezones without coordinating calendars.
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“Listen Labs has been a welcomed addition to our team. It compresses hours of work into minutes, reaches a broader audience than our schedule allows and uncovers qual/quant insights in real time.”
Lauren Haugh Neville
Director of Product Insights, Chubbies Shorts
"Our leadership team was thrilled — not just by the speed and scale, but by how Listen brought the human stories to life. It’s removed the drudgery of research and brought the fun and joy back into my work.”
Romani Patel
Director of Data Science, Microsoft
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