Listen vs Marvin

Marvin organizes your research. Listen answers your questions.

Marvin organizes your research. Listen answers your questions.

Marvin organizes your research. Listen answers your questions.

While Marvin centralizes qual research, Listen is an AI-native intelligence tool built for end-to-end enterprise-grade research. Listen assists with interview guide creation, handles recruitment from a pool of 30M+ verified participants, conducts AI-moderated interviews, and instantly delivers quant & qual insights.

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We’re trusted by industry leaders & innovators.

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Top 3 Reasons Teams Pick Listen vs Marvin

Top 3 Reasons Teams Pick Listen vs Marvin

Enterprise-grade qual + quant at scale

Marvin supports up to 30 concurrent sessions, limiting reach and speed. Listen runs thousands of AI-moderated interviews simultaneously, enabling global studies to be completed in hours, not weeks, and empowering enterprises to move fast.

Quality assured, end-to-end workflow

Listen ensures confidence in every insight by recruiting participants from a 30M+ verified pool, performing real-time fraud detection that validates identity and response quality, linking insights back to exact quotes and interview moments, and compliance with enterprise security standards.

Deliverables that drive decisions

Listen goes beyond summaries and theme identification by producing stakeholder-ready memos, slide decks, and highlight reels. Analysis is supported by an AI research assistant as well as expert researchers, enabling teams to move from insights to action quickly and confidently.

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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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