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    AI-Moderated User Research & Customer Insights Platform
    Freemium
    Free Trial
    Sponsored

    Listen Labs

    AI-Moderated User Research & Customer Insights Platform

    Listen Labs is an AI research platform that recruits participants, conducts in-depth moderated interviews, and analyzes results automatically, compressing weeks of qualitative research into hours. Its AI interviewer asks personalized, adaptive follow-up questions across video, audio, or text, then generates themes, personas, and executive-ready reports. The platform grew out of a Harvard research project and is used by consumer insights, UX research, and product teams at large enterprises.

    Alternatives & similar tools

    Related picks from editorial notes.

    Also mentioned

    • Outset.ai (similar AI-moderated interview approach)
    • User Intuition (per-interview pricing
    • more transparent cost structure)
    • dscout (established diary-study and in-context research platform)

    Features & details

    Full overview from our catalog (read-only reference).

    Category (short)
    AI-Moderated User Research & Customer Insights Platform
    Category
    AI-Moderated User Research & Customer Insights Platform
    Pricing (CSV)
    Free Trial
    Directory pricing
    Freemium
    Sponsored note
    no
    Target audience
    Enterprise consumer insights, UX research, and product teams running frequent qualitative studies who can justify a five-figure annual research budget. Not ideal for: solo researchers, startups, or teams that want transparent self-serve pricing without a sales/demo process.
    Best for
    Enterprise consumer insights, UX research, and product teams running frequent qualitative studies who can justify a five-figure annual research budget. Not ideal for: solo researchers, startups, or teams that want transparent self-serve pricing without a sales/demo process.
    Pricing notes
    Verified July 2026 at listenlabs.ai. Listen Labs does not publish fixed pricing; the site offers a free self-serve signup and demo-based enterprise sales. Buyer-reported estimates from third-party reviews place typical enterprise entry pricing around a $20,000 annual base plus $300-$400 per interview session in participant/panel costs, scaling with study volume.

    Pros & cons

    Editorial notes to help compare fit before opening the vendor site.

    Pros

    • Dramatically faster turnaround than traditional research agencies
    • Deep, adaptive follow-up questioning beyond static surveys
    • Strong enterprise compliance posture (SOC 2, GDPR, ISO certifications)
    • Large built-in participant network spanning 100+ languages

    Cons

    • No public pricing
    • requires a sales demo to get a quote
    • Reported entry cost (around $20K+/year) is out of reach for small teams
    • AI-moderated interviews still require human review for nuance and edge cases
    • Quality depends heavily on discussion guide setup and participant screening

    Review notes

    Context from the listing review and editorial research.

    Built on a Harvard research project; case studies cite usage by Anthropic, Microsoft, Cognition, and Sweetgreen. The company has raised a Series B with $100M raised to date as of mid-2026. Pricing opacity and demo-gated buying are the most consistent complaints in third-party reviews.

    Extended features

    In-depth description and capability notes.

    AI-moderated interviews with dynamic, personalized follow-up questions Built-in participant recruitment from a 30M+ B2B/B2C panel, or bring your own Automatic translation and transcription across 50+ languages Supports video, image, and Figma prototype stimuli testing Automated theme, persona, and highlight-reel generation from interview data Video, audio, or text-based interview formats SOC 2, GDPR, ISO 27001/27701/42001 certified for enterprise procurement Emotional intelligence layer that reads tone and word choice, not just transcripts

    Use cases

    Product and insights teams use Listen Labs to replace traditional focus groups and manual interview studies for usability testing, concept testing, brand tracking, and multi-market segmentation, getting synthesized findings back in under a day instead of weeks.