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Listen Labs

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AI-led user interviews deliver actionable insights in hours, not weeks.

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Coverage from TechCrunch Business Insider The Next Web
12 press mentions

The Bottom Line

Price
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Key facts

  • Automates user interviews from recruitment to reporting using AI.
  • Delivers actionable user insights and reports in hours, not weeks.
  • Recruits participants from a global network and conducts AI-moderated interviews.

Pros

  • Significantly reduces time from study creation to insight delivery (hours instead of weeks)
  • Provides access to a broad and diverse participant pool
  • Automates repetitive research tasks, freeing up researcher time
  • Delivers comprehensive, executive-ready reports with actionable insights
  • Supports various research methodologies including usability and concept testing

Cons

  • Reliance on AI for moderation might lack the nuanced human touch in some complex interactions
  • Specific pricing details are not publicly available, requiring a demo request

What is Listen Labs?

Listen Labs is an AI-powered platform designed to streamline the user research process, from participant recruitment to insight delivery. It automates the entire qualitative research workflow, enabling product teams, researchers, and marketers to quickly understand user needs, validate concepts, and identify friction points. The platform is built on methodological integrity, originating from a Harvard research project, and aims to provide comprehensive, executive-ready reports overnight. This tool is ideal for product managers, UX researchers, and anyone involved in product development or marketing who needs to gather deep user insights efficiently. It helps teams make data-driven decisions by providing rapid feedback loops, reducing the time and effort traditionally associated with user interviews and usability testing. By leveraging AI for moderation and analysis, Listen Labs allows organizations to scale their research efforts and integrate user understanding directly into their development cycles.

Available on: Web

how we evaluate Source listenlabs.ai ↗

Preview

Key Features

  • AI-powered discussion guide creation
  • Participant recruitment from a global network of 30M+ people
  • AI-moderated in-depth interviews with intelligent follow-ups
  • Automated insight packaging into executive-ready reports
  • Key themes and highlight reels generation
  • Slide deck creation for presentations
  • Task-based usability testing scenarios
  • Screen sharing for real-time navigation observation

Pricing

Paid

Listen Labs offers paid plans. Visit their website for current pricing details.

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Reviews

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

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Listen Labs FAQ

How does Listen Labs ensure the quality of its AI-moderated interviews?

Listen Labs' AI researcher is designed to conduct in-depth interviews, ask context-aware follow-up questions, and understand the full context of participant responses, ensuring comprehensive and relevant data collection.

What kind of reports does Listen Labs generate?

Listen Labs generates executive-ready reports that include key themes, highlight reels from interviews, and even slide decks, providing a complete overview of the research findings.

Can Listen Labs recruit specific types of participants for a study?

Yes, Listen Labs can find and qualify the right participants from its global network of over 30 million people, allowing filtering by demographics, behavior, and job title to match specific study requirements.

What security and compliance standards does Listen Labs adhere to?

Listen Labs is SOC 2 and GDPR compliant, ensuring data security and privacy for all user research activities.

How does Listen Labs support usability testing?

For usability testing, Listen Labs allows users to assign specific tasks, watch participants complete them via screen sharing, and capture unfiltered user reactions to identify friction points and improve product ease-of-use.

Source: listenlabs.ai

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