ChatD&B vs. User Intuition Comparison


ChatD&B Dun & Bradstreet	User Intuition	+	+
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About ChatD&B by Dun & Bradstreet is an AI-powered conversational platform that helps you quickly access, analyze, and act on company data through a simple chat interface. Users can obtain firmographics, financial details, risk indicators, and other insights by typing natural language queries, saving time and improving decision-making accuracy. The platform leverages Dun & Bradstreet’s Data Cloud to provide real-time, up-to-date company information. It also tracks data sources and allows users to reference previous queries for compliance and verification. ChatD&B supports customer service by answering questions about Dun & Bradstreet’s products and services. Overall, it streamlines business research and boosts productivity through an intuitive, conversational experience.		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 Ideal for business professionals in sales, finance, and risk management who need fast, reliable company data and insights delivered via an intuitive AI chat interface		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 Not Supported Online Supported		Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported		API Offers API Supported
Screenshots and Videos View more images or videos		Screenshots and Videos View more images or videos
Pricing Contact vendor for pricing Free Version Supported Free Trial 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: Review this Software		Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
		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 Dun & Bradstreet Founded: 1841 United States www.dnb.com/en-us/products/chatdnb.html		Company Information User Intuition Founded: 2025 United States www.userintuition.ai/
Alternatives SAP Ariba Spend Analysis SAP Ariba		Alternatives Aptitude
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CIAL 360 Credit CIAL Dun & Bradstreet		Listen Listen Labs
D&B Rev.Up ABX Dun & Bradstreet		Strella
Invstr View All		Questly AI Questly View All
Categories AI Finance Supported AI Tools Supported Financial Research Supported Market Research Supported		Categories Market Research Supported

Integrations ChatGPT Not Supported Claude Not Supported Cursor Not Supported HubSpot CRM Not Supported Stripe Not Supported Zapier Not Supported		Integrations ChatGPT Supported Claude Supported Cursor Supported HubSpot CRM Supported Stripe Supported Zapier Supported View All 6 Integrations
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