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About

Frank is a cloud-based customer research platform that helps product and growth teams collect qualitative feedback through AI-moderated voice interviews. Teams create interview guides, share interview links, and embed an interview widget on a website or app. During a conversation, Frank asks follow-up questions based on a participant’s responses, then transcribes and organizes discussions into summaries, themes, sentiment, and highlights linked to source conversations. Teams use it for customer discovery, product and concept research, onboarding, feature feedback, customer experience, and churn research. Interviews can be conducted in more than 30 languages. Frank also provides a REST API and an MCP connector for compatible AI tools, allowing teams to access research data from supported tools.

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 Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Frank is built for SaaS founders, product managers, UX researchers, product marketers, and growth managers who need direct customer feedback to guide product and business decisions.

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 Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$59/month
Starter is $59/month billed monthly, or $49/month billed annually. A free plan includes 60 voice minutes per month. Paid plans include a 14-day free trial.
Free Version Supported
Free Trial Not Supported

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 Not Supported
Free Trial Supported

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

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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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Frank
Founded: 2026
United States
www.hifrank.ai/

Company Information

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

Alternatives

Listen

Listen

Listen Labs

Alternatives

Pulse

Pulse

Bougainvillea Technologies LLP
Questly AI

Questly AI

Questly
Listen

Listen

Listen Labs

Categories

AI Interviewing Supported
User Research Supported

Categories

Market Research Supported

Integrations

ChatGPT Supported
Claude Supported
Cursor Supported
Claude Duet Not Supported
Claude for Legal Not Supported
Codex CLI Supported
Gemini Supported
HubSpot CRM Not Supported
Microsoft Copilot Supported
Model Context Protocol (MCP) Supported
Stripe Not Supported
Zapier Not Supported

Integrations

ChatGPT Supported
Claude Supported
Cursor Supported
Claude Duet Supported
Claude for Legal Supported
Codex CLI Not Supported
Gemini Not Supported
HubSpot CRM Supported
Microsoft Copilot Not Supported
Model Context Protocol (MCP) Not Supported
Stripe Supported
Zapier Supported
Claim Frank and update features and information
Claim Frank and update features and information
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Claim User Intuition and update features and information