User Intuition Description

User Intuition is an innovative customer intelligence platform that facilitates AI-driven market research interviews through chat, voice, or video formats. This platform transforms conventional text surveys into engaging conversations aimed at understanding the reasons behind customer behaviors such as buying, leaving, or remaining loyal.

By leveraging advanced AI interview technology, it poses insightful follow-up questions based on participants' replies, utilizing laddering techniques to uncover the emotional drivers and underlying motivations that shape customer choices. User Intuition boasts an impressive 98% satisfaction rate among participants, thanks to its conversational approach that fosters open and honest feedback.

Businesses utilize this platform for a variety of purposes, including monitoring brand health, extracting valuable shopper insights, gaining competitive intelligence, and testing concepts with actual consumers or carefully selected panel members. Additionally, the platform's ability to engage customers in meaningful dialogues sets it apart as a leader in the market research field.

Pricing

Pricing Starts At:
$200 per study
Pricing Information:
$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 Trial:
Yes

Integrations

API:
Yes, User Intuition has an API

Reviews - 5 Verified Reviews

Total
ease
features
design
support

Company Details

Company:
User Intuition
Year Founded:
2025
Headquarters:
United States
Website:
www.userintuition.ai/
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Training Videos
Customer Support
Online Support

User Intuition Features and Options

Market Research Software

Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management

User Intuition User Reviews

Write a Review
  • Name: Lilian O.
    Job Title: Procurement Lead
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 26 - 99
    Features
    Design
    Ease
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Three vendors down to one login

    Date: Aug 19 2026

    Summary: Collapsed our stack without giving up interview depth, which was the fear. Recruiting, conversations, and the archive live in one place now. Brand questions get answered from what we already know instead of another fielding cycle.

    Positive: 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.

    Negative: Three brand teams share the workspace and I'd like tighter role locks before someone junior can launch a huge study unsupervised.

    Read More...
  • Name: Gloria K.
    Job Title: Project Manager
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Great tool

    Date: Aug 11 2026

    Summary: The best use I've found is prioritization. Request counts can be misleading, and AEs tend to repeat the loudest version of a problem. This helped us find the smaller issue underneath before we burned a sprint. I trust it for kill decisions as much as build decisions.

    Positive: 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.

    Negative: Zapier and HubSpot cover us. Zapier and HubSpot already cover most of our automation and CRM needs, so there is limited room for additional tools.

    Read More...
  • Name: VINCENT M.
    Job Title: Project Manager
    Length of product use: 6-12 Months
    Used How Often?: Monthly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Product — concept vs urgency

    Edited: Aug 10 2026

    Summary: Clarity and urgency are not the same finding. This was the first tool that separated them clearly enough for me to pause a concept the design team was already attached to. Support was hands-on during our first run, which helped.

    Positive: 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.

    Negative: Two of fourteen participants never turned on their video, which made it difficult to gauge their real-time engagement and feedback during the session.

    Read More...
  • Name: Mary M.
    Job Title: Project Manager
    Length of product use: 1-2 Years
    Used How Often?: Weekly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Good for UX Research

    Date: Jul 29 2026

    Summary: I still use quick unmoderated tests for task metrics. User Intuition is better for understanding the reasons behind those metrics. Using both made the redesign much easier to defend.

    Positive: 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.

    Negative: No facial-expression scoring on the video. We watch the clips ourselves. Fine for us

    Read More...
  • Name: Anonymous (Verified)
    Job Title: Project manager
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Churn analysis rootcause

    Edited: Aug 13 2026

    Summary: User Intuition helped me understand what customers went through before they left. The direct quotes we’re able to get from there usually move the conversation forward faster than another dashboard screenshot.

    Positive: We thought most of our churn happened because of price and in fact we’d heard it 90% of the time. The follow-up questions from User Intuition uncovered that most of those customers never connected a datasource so didn’t see much value from our product. As evidence, I even downloaded and shared five quotes in Slack with the team to show them the findings.

    We’re now actively solving cancels and downgrades by focusing on the integration steps instead of discounting.

    Negative: None

    Read More...
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