UX Research Platform: Validate Decisions With the Panel in Hours, Not Weeks
Sprint cycles don't wait for research. AI-moderated depth interviews recruit from the panel, interview, and synthesize in 24 hours — evidence before design review, not after ship.
From individual interviews to a clearer picture.
Users abandon the onboarding flow at step 3 — not because of complexity, but because the value prop is unclear...
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A UX research platform is software that helps UX researchers run and synthesize research — recruitment, moderation, testing, transcript libraries, and pattern synthesis — historically requiring 4-6 weeks per study, longer than most sprint cycles can absorb. User Intuition is a UX research platform powered by AI-moderated interviews, probing 5-7 levels deep into motivations, expectations, mental models, and friction points while compressing the panel recruit-moderate-synthesize cycle to 24 hours. Across 30,000+ interviews on the platform, User Intuition has delivered evidence that task-based usability tests miss entirely — the why behind every observed behavior. Behavioral data shows what users did; only conversational depth captures what they expected and why. A User Intuition UX study starts at $150, returns design-decision evidence from the panel in 24 hours, and is backed by 4.9/5 on G2 and 5/5 on Capterra. The output is practical: mental-model evidence, friction maps, JTBD signals, and validated user journeys for UX researchers, product designers, and design leadership operating at sprint speed.
What is User Intuition as a UX research platform?
User Intuition is a UX research platform that recruits from its panel, interviews and synthesizes in 24 hours, so evidence lands before the design review, not after the feature ships. AI-moderated 20–30 minute interviews ladder 5–7 levels into mental models, expectations and friction around your concepts, prototypes and flows, with participants from a 4M+ vetted panel across 58 countries or your own users, interviewed in parallel as they respond.
Which UX researchers use User Intuition?
UX researchers in-house and at research and design agencies, plus the designers and PMs they support, who need depth evidence inside a two-week sprint.
How does User Intuition work for UX research?
Upload your guide plus the prototype, wireframe or concept. The AI moderator interviews participants in voice, video or chat, and every finding links back to its recording.
What do UX researchers get from each study?
Friction maps, mental-model themes with verbatims, prioritized opportunities, an editable presentation, and every transcript and recording, ready for the next design review.
Why can't most UX research platforms keep pace with the sprint?
Sprints run two weeks; a recruit-moderate-synthesize cycle runs four to six. Here's what UX researchers tell us, and how User Intuition closes each gap.
- Sound familiar?
By the time I've recruited eight participants, the design has moved on.
Panel participants recruited in hours, not weeks
Draw from a 4M+ vetted panel across 58 countries or invite your own users, and fieldwork starts the day you launch.
- Sound familiar?
The sprint is two weeks. A proper study is six. I get to pick fast-and-shallow or rigorous-and-late.
UX evidence inside the sprint
200+ panel depth interviews in 24 hours, so findings reach the design review while the design can still change.
- Sound familiar?
They completed the task and still don't trust the feature. The usability test called it a pass.
The why behind every click
20–30 minute interviews ladder 5–7 levels into expectations, mental models and motivations, so you learn why users hesitate, not just whether they finished.
- Sound familiar?
Engineering starts building on Monday, and I haven't put the prototype in front of a single user.
Concept and prototype validation before build
Show wireframes, prototypes or concept boards in the interview and hear reactions while changing course is still cheap. Stimulus stays confidential and never trains AI models.
- Sound familiar?
I can interview eight users or survey 500. Never both.
Depth at a sample size you can segment
Every interview runs the same non-leading laddering, so you compare segments and markets across hundreds of conversations, in 80+ languages, without moderator drift.
- Sound familiar?
A PM asks what we know about onboarding friction, and the answer is buried in someone's synthesis doc.
A searchable UX research repository
Every study lands in one hub, so designers and PMs query past findings, verbatims and recordings directly.
From research question to validated insight
Define Your Research Question
Describe what you need to learn — user motivations, design feedback, concept validation. Bring your own guide, or our AI builds the discussion guide and recruits from a 4M+ panel matched to your user profile.
AI Conducts Depth Interviews
Each participant completes a 20–30 minute AI-moderated voice interview. The AI probes into motivations, expectations, and friction — not just whether they completed the task, but why they hesitated.
Synthesized Insights Delivered
Receive structured findings with themes, user segments, verbatim quotes, and clear design implications. Every insight links back to the actual conversation so your team can verify the evidence.
Research Repository Grows
Every study feeds a searchable research repository. PMs and designers query past research directly — 'what do we know about onboarding friction?' — so insights compound across the organization.
How UX Researchers use
User Intuition
UX Research
Conduct deep qualitative research that fits sprint cycles. Understand user motivations, mental models, and unmet needs, with panel results in 24 hours.
Product Innovation
Validate new product concepts and feature ideas before engineering invests. Test early, iterate fast, build what users need.
Concept Testing
Test wireframes, prototypes, and design concepts with 50-300 users. Get structured feedback on appeal, clarity, and usability before committing to build.
NPS & CSAT Deep Dives
Go beyond scores to understand why users rate you the way they do. Probe into satisfaction drivers, friction points, and loyalty motivations.
Win-Loss Analysis
Understand why users chose your product — or a competitor. Interview churned users and prospects to identify experience gaps that drive switching.
Consumer Insights
Understand user needs, behaviors, and decision processes at depth and scale. Build empathy across the entire product organization.
Why researchers choose User Intuition
User Intuition is an AI-moderated interview platform that gives research teams and agencies the depth of a senior researcher at the scale of a survey, with vetted respondents, your own methodology and evidence you can trace to the verbatim. Quality is built in: a person vets every panelist by hand, every session is screened for fraud, and you pay only for interviews that pass.
Senior-researcher depth
The moderator ladders 5–7 levels deep by default, using Reynolds and Gutman's laddering method, so you hear the reasons behind the reasons.
Your methodology, run as written
Bring your discussion guide and frameworks. Required questions stay pinned in order, word for word if you need it, study rules keep the moderator inside your compliance lines, screeners and hard quotas fill every cell to plan, and you decide how far it probes.
Every finding traces to its source
Click any theme through to the verbatim, the transcript and the recording. Every claim in the deliverable traces to what a participant said.
Respondents you can stand behind
A 4M+ vetted panel across 58 countries: a person listens to every panelist's interviews before they're accepted, then every session is screened for AI-generated or coached answers and panelists are tracked across studies. Or bring your own: customer lists, your panel provider, or respondents straight from your survey.
Deliverables ready to present
Themes, verbatims and an editable presentation for every study, plus every transcript, recording and screener answer to export into your own tools. Put your own brand on them when you need to.
Survey scale, quality-only billing
200+ panel interviews in 24 hours, with no cap on parallel conversations. Each one is scored on length, depth and coverage, and you pay only for those that pass.
- Isolated workspaces
- Confidential stimulus
- Never used to train AI models
- GDPR & CCPA compliant
- SOC 2 Type II examination underway
- Security →
How Does User Intuition Compare to Unmoderated Tools, Analytics Platforms, and Traditional Qualitative Research for UX Research Teams?
| Dimension | User Intuition | Unmoderated Tools (Maze / Lyssna) | Analytics (Hotjar / FullStory) | Traditional Qualitative Research |
|---|---|---|---|---|
| Depth of Insight | 20–30 min · 5-7 laddering levels into user motivations | 5-15 min task-based clips, surface reactions | Behavioral data — what users do, not why | Deep but limited to 15-30 interviews per project |
| Time to Insights | 24 hours from panel recruit to structured findings | 24 hours for task completion data | Real-time heatmaps and session replays | 6–12 weeks per project |
| Cost per Study | From $150 ($30/interview) | Per-study panel fees | Monthly platform subscription | $15K–$75K per project |
| Scale | 50-300+ depth interviews per study | 50-500 task completions, no depth probing | All users tracked, no individual understanding | 5-12 moderated sessions typical |
| Sprint Compatibility | Results within same sprint cycle | Fast turnaround, limited depth | Always available, no causal insight | Research finishes after the sprint ships |
| Insight Type | WHY users behave, plus WHERE they click, in the same session | WHAT users do — task completion, click paths | WHERE users go — scrolls, clicks, rage clicks | Why users behave, but small sample and slow |
| Language Coverage | 80+ languages, same methodology | English-primary, limited international | Language-agnostic but no qual depth | Requires local moderators per market |
| Knowledge Base | Searchable intelligence hub across all UX studies | Individual test results, no synthesis | Dashboard data, no cross-study search | Decks in shared drives, findings siloed |
Hear the interviews. See the presentation.
Explore calls and a sample presentation from our 43-participant Walmart shopper study.
Grocery top-up, supercenter
“Basically, because we use those things all a lot We try to always have you know, certain things in the house at all times because we use them very frequently. So we don't like to run out of them.”
What was making you want those specific things right then? Beyond just being out? Was it about being able to make certain meals or something else?
Basically, because we use those things all a lot We try to always have you know, certain things in the house at all times because we use them very frequently. So we don't like to run out of them.
Phone replacement, unplanned and urgent
“It made me feel so safe so relieved, and it brightened my day.”
Sounds like you knew exactly what you want. A Google Pixel 6 Pro. What was it about that phone that made it the right choice for you, especially in that moment?
Yeah. Thank you. So the the the phone had a lot of features. I I heard friends were talking about this phone. So in terms of the camera setting, it can take pictures and refine them into good quality. It has its own internal scanner, like I don't need to download other apps to scan to do scans. And of course, it has high quality for recording, which has been helping me in my meetings. In the office. So it's really amazing, and I love festival the quality of the phone in terms of the camera, because the previous phone I had was a Samsung. And the quality was really frustrating. And it had it has a very good processor speed as well. It's very fast. It's very efficient, and I like it. I like it. I'm enjoying the features.
Sample presentation
Preview three slides, or download the full 15-slide presentation.
Bring your own sample
$30 per quality voice interview
Use our 4M+ vetted panel
$60 per quality voice interview
What researchers say
"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."
"We used User Intuition to conduct user research when people signed up for our product as part of the onboarding flow. This consisted of 50 interviews per week across different languages and countries: where the biggest drop-offs were and what people's initial reaction to our product was. It helped us understand where to streamline the onboarding flow."
Common questions
UX research that fits
inside your sprint cycle
With panel results in 24 hours, understand why users behave the way they do. Validate designs with hundreds of depth interviews before engineering invests.
Start with an editable research brief. Review your plan and discussion guide before inviting participants.
See how UX teams embed continuous research into sprint cycles. We'll show you the full workflow from question to validated insight.
Your methodology · Your sample · No monthly fee on Starter
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