Listen

Listen

Listen Labs
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About

Listen is an AI-driven research platform that helps businesses conduct customer interviews at scale, replacing traditional methods like surveys and focus groups. With its AI-moderated interviews, Listen provides fast, qualitative, and quantitative insights from millions of participants, all in real-time. The platform supports various use cases, including concept testing, brand perception, creative testing, and usability testing, and can handle video, audio, and text-based formats. Whether you’re testing new ideas, gauging customer sentiment, or evaluating brand value, Listen Labs provides actionable results within hours, not weeks.

About

User Intuition is a customer intelligence platform that conducts AI-moderated market research interviews via chat, voice, or video. The platform replaces traditional text surveys with natural conversations that uncover why customers buy, churn, or stay. The software uses AI interview technology to ask intelligent follow-up questions based on customer responses, employing laddering methodology to reveal emotional drivers and hidden motivations behind customer decisions. User Intuition achieves 98% participant satisfaction through conversational interactions that encourage candid feedback. Organizations use the platform to track brand health, gather shopper insights, obtain competitive intelligence, and test concepts with real consumers or vetted panel participants.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Product managers, marketers, user researchers, and businesses looking for a fast, scalable solution to gather customer insights through AI-powered qualitative and quantitative research

Audience

Consumer insights, market researchers, product managers, customer success teams, and UX researchers at consumer product companies, subscription businesses, e-commerce brands, SaaS companies, and research agencies. Any organization that needs to understand why customers buy, churn, or stay—and requires insights fast enough to inform product decisions, marketing campaigns, and retention strategies.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$200 per study
$20 per interview including:
Access to 4M+ vetted respondents with industry-leading fraud detection—or bring your own customers
AI-moderated interviews via chat, audio, or video
Automated analysis and reporting for each study
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • We conduct quantitative and qualitative research for healthcare and pharmaceutical organizations. We needed an AI-moderated research platform that could support between 1,000 and 3,000 conversations per month, work across multiple languages and meet the privacy and security demands of the healthcare industry. We evaluated several providers, including Listen Labs and Conveo and Stella, before choosing User Intuition. Through the User Intuition API, we can create and launch studies, recruit participants, conduct interviews, and analyze the results. The AI moderator’s voice feels natural, and we found that participants were willing to open up and provide considerably more detail than we would typically capture through a quantitative survey alone. We have also built an ontology on top of the research, allowing us to re-query previous studies and quickly surface relevant insights for our clients. In one project, we studied how uninsured and cash-paying patients would respond to fixed prices for primary and urgent care. We recruited 50 US adults, tested reactions to different price points, explored what services they expected to be included, and compared several ways of framing tiered prices. We completed the study end to end in a week, at roughly one-third of the cost quoted by competitors, and won the client’s business.
  • We started using user intuition a few months ago when we realized customers didn't need the automation engine we had in mind. A few interviews in, we realized they needed to see where an approval was stuck. Three people said that without being led there. Most had started with some version of "sounds useful," but the follow-up questions got into when they would use it, what they did today, and who else had to sign off. We spoke with eight admins, six end users, and three buyers in a week. I started with a half-page brief on Tuesday and had conversations by Friday. We cut the MVP down to a status view and saved a ton of time.
  • A brand manager Slack'd me at four about our new resealable pouch and I answered before standup the next morning with quotes from a study we'd run six weeks earlier. Searched the hub and that was it. Used to mean a panel export, a Qualtrics export, and digging through Dovetail. We've pretty much collapsed those three into User Intuition now. Broad U.S. grocery study asked for forty and filled in a few hours. I was skeptical an AI would dig past "I like it." It did. Project pricing also meant I didn't need an annual platform fight just to pilot.
  • We used User Intuition to test our messaging and a few concepts after a few of our prospects said they understood the idea, but talked about using it someday. We ended up testing four screens and a concept image for a shared-lists idea that design was falling in love with. Fourteen video interviews later, we paused the build and saved a sprint on something people didn't connect with. We loved that the report separated the assumptions that held up from the ones that looked shaky, with quotes under each. And Chloe from support walked us through setup and helped with the readout slides.
  • We learned that about a third of our users don't think setup is their job. It was kind of like a throwaway comment: one person said they'd just ask ops to do that part. The moderator followed up on who "ops" meant, why they would hand it off, and what might make them do it themselves. We had already seen people pause on step three of the invite-teammate flow. The heatmap showed exactly where, but not why. Twelve interviews on that flow gave us the missing context around expectations and confidence.

Cons

  • User Intuition handles the qualitative AI-moderated portion of our work, but some engagements still require a separate quantitative phase.
  • Zapier and HubSpot already cover our current automation, integration, and customer relationship management needs, making additional tools unnecessary at this time
  • Three brand teams share the workspace and I'd like tighter role locks before someone junior can launch a huge study unsupervised.
  • Two of fourteen participants never turned on their video, which made it difficult to gauge their real-time engagement and feedback during the session.
  • No facial-expression scoring on the video. We watch the clips ourselves. Fine for us

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Listen Labs
Founded: 2023
United States
listenlabs.ai/

Company Information

User Intuition
Founded: 2025
United States
www.userintuition.ai/

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Categories

Categories

Integrations

ChatGPT
Claude
Cursor
Goldfish
HubSpot CRM
Stripe
Zapier

Integrations

ChatGPT
Claude
Cursor
Goldfish
HubSpot CRM
Stripe
Zapier
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