User Research Platform: Democratize Research Without Losing Quality
Too many research requests, too few researchers. Let PMs and designers run studies on your standards, with one laddering method and one searchable repository.
From individual interviews to a clearer picture.
Research team serving 4x more product teams without additional headcount...
Trusted by teams at
A user research platform is software that helps researchers conduct and synthesize studies — most support recruitment, transcripts, and synthesis but leave interview depth dependent on whichever researcher happens to run it. User Intuition is a user research platform powered by AI-moderated interviews, with the methodology built into the platform itself — 5-7 levels of laddering depth applied consistently across every conversation, scaled across the org. Across 30,000+ interviews on the platform, User Intuition has enabled non-researchers to launch rigorous studies because the platform enforces methodology that previously required senior practitioners to apply consistently. That democratization scales research capacity without diluting rigor. A User Intuition study starts at $150, returns methodology-rigorous evidence as participants respond, and is backed by 4.9/5 on G2 and 5/5 on Capterra. The output is practical: rigorous laddering depth at scale, validated study designs, themed transcripts and verbatim libraries, and a Customer Intelligence Hub for user researchers, ResearchOps leaders, and product orgs democratizing research access.
What is User Intuition as a user research platform for research operations?
User Intuition is a user research platform with the method built in: research operations sets the standards, and every AI-moderated interview applies the same 5–7 level laddering, whoever launches the study. PMs and designers run governed 20–30 minute interviews, 200+ panel interviews in 24 hours or their own users in parallel, and every finding lands in one searchable research repository.
Which user research teams use User Intuition?
Research operations leads and user research teams, in-house and at research agencies, who need to extend research to PMs and designers without losing quality control.
How does User Intuition work for democratized user research?
Researchers set the guide and the standards; PMs and designers launch studies within them. The AI moderator interviews in voice, video or chat, and every finding links back to its recording.
What do user research teams get from each study?
Themes with verbatims, segment reads, an editable presentation, every transcript and recording, and a repository the whole org can query before requesting new research.
Why do user research platforms lose rigor when research is democratized?
Requests outgrow the research team, and handing studies to non-researchers usually trades quality for throughput. Here's what research operations leads tell us, and how User Intuition closes each gap.
- Sound familiar?
Our request queue is six weeks deep. Half those decisions get made before we field.
Clear the user research backlog
200+ panel interviews in 24 hours per study, so bounded requests run when they come in and your team keeps its capacity for strategic research.
- Sound familiar?
We let PMs run their own interviews. They asked leading questions, talked to three users and called it validated.
Methodology enforced in every interview
The AI moderator applies the same non-leading, adaptive 5–7 level laddering to every study, so a PM-launched study meets the standard your team set.
- Sound familiar?
Internal panels are exhausted, and external recruiting adds a week to every study.
Recruiting without the friction
Recruit from a 4M+ vetted panel across 58 countries or your own customer list, and pay only for interviews that pass quality scoring.
- Sound familiar?
Tracking perception across releases means I personally run every wave to keep the method consistent.
Consistent tracking studies across waves
The same guide and probing run identically each wave, in 80+ languages, so a change reflects your users, not a different moderator.
- Sound familiar?
We built a research repository. Nobody uses it, and PMs re-run studies that already exist.
A user research repository people query
Every study lands in a searchable hub, so teams find what's already known, cited to the interviews behind it, before requesting new research.
- Sound familiar?
Tactical requests eat most of my week, and the foundational research never happens.
Researchers back on strategic work
Feature validation and usability follow-ups run on the platform, so your team spends its time on standards, synthesis and the foundational research that shapes the roadmap.
From research request to org-wide insight
Design the Study
Define the research question and target users. Bring your own guide, or our AI builds the interview guide with 5-7 level laddering — embedding your methodology into every conversation. Non-researchers can launch studies because the rigor is in the platform, not the person.
AI Conducts the Interviews
Each user completes a 20–30 minute AI-moderated voice interview. The AI probes deeper on pain points, workflows, and motivations — surfacing the why behind user behavior at a scale that would take your team months.
Get Actionable Research Findings
Receive structured analysis with user segments, theme clusters, and evidence-traced findings. Every insight links to the exact user verbatims — so product teams can see the evidence, not just the recommendation.
Build Institutional Research Knowledge
Every study feeds a searchable intelligence hub. Product teams query past research before launching new studies. Patterns emerge across projects. Your research compounds instead of sitting in forgotten repositories.
How User Researchers use
User Intuition
Self-Serve Studies for PMs and Designers
Let product teams run feature evaluations and experience assessments with 50-300 users on the same 5-7 level laddering method your researchers use. Go beyond 5-person tests to enough conversations to compare segments.
Research Standards at Scale
Every democratized study runs the same non-leading, 5-7 level laddering method, so quality holds no matter which team launches it.
Concept Testing
Test design concepts, feature configurations, and UX patterns with real users. Multi-concept studies with consistent methodology.
Insight Repository
Every study feeds one searchable intelligence hub, so PMs find past research before commissioning a new study.
Longitudinal Tracking Programs
Track how perception and needs shift across releases with the same methodology in every wave, without a researcher re-running each one.
Foundational Research Time
Hand tactical requests to the platform and put senior researchers on the foundational studies that shape next year's product direction.
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: our team reviews a video identity interview with every panelist, every voice interview is screened for AI-generated or coached answers, and panelists are tracked across studies. Or bring your own customers, panel provider or survey respondents. Either way, you can watch any interview live.
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 compliant
- Security →
Every interview is checked before you pay for it
Interview checks run on every study, including studies with your own customers. Panel checks apply on top whenever we recruit for you.
Every interview
- Laddering 5–7 levels deep, which is hard to fake
- Watch and steer any interview live
- AI checks on every voice and video interview
- Scored on length, depth and coverage; Poor or Fair is never billed
- Our team listens to every panelist call, and a sample of yours
- Every recording and transcript yours to review and reject
How Does User Intuition Compare to Unmoderated Platforms, In-House Moderation, and Traditional Qualitative Research for User Research Teams?
| Dimension | User Intuition | Unmoderated Platforms (Maze / Lyssna) | In-House Moderation | Traditional Qualitative Research |
|---|---|---|---|---|
| Depth of Insight | 20–30 min · 5-7 laddering levels per user | 5-15 min task-based clips, surface reactions | Deep but limited by researcher capacity | Deep but limited to 15-30 interviews per project |
| Time to Insights | 24 hours from design to structured findings on panel studies; your own users run in parallel | 24 hours for task completion data | 2-6 weeks (recruit + conduct + synthesize) | 6–12 weeks per project |
| Cost per Study | From $150 ($30/interview) | Per-study panel fees | Internal team cost (salary + opportunity cost) | $15K–$75K per project |
| Scale | 50-300 in-depth interviews per study | 50-500 task completions, shallow depth | 5-12 interviews per study (capacity limited) | 15-30 interviews per project |
| Democratization Quality | Methodology built into the platform — PMs launch rigorous studies | Low barrier but low depth — task-based only | Quality depends entirely on researcher skill | Quality depends on the team assigned |
| Recruiting | 4M+ panel + CRM import, no sourcing delay | Built-in panel, limited to platform users | Internal panels exhaust, external recruit takes weeks | Recruiting adds weeks and cost |
| Methodological Consistency | Identical probing methodology every interview | Consistent tasks, no adaptive probing | Varies by researcher energy and approach | Varies by moderator assigned to project |
| Knowledge Retention | Searchable Intelligence Hub across all studies | Individual test results, no cross-study search | Confluence pages and notebooks nobody finds | Decks in shared drives, knowledge walks out the door |
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
"It's quick to set up, the AI interviews actually hold up, and everything we've ever learned is searchable in one place. That's the direction consumer insights should have gone years ago."
"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."
Common questions
Go from research bottleneck
to research force multiplier
Enable your entire org to run rigorous research. Every study builds a searchable knowledge base that compounds over time.
Start with an editable research brief. Review your plan and discussion guide before inviting participants.
See how user research teams are scaling impact across their orgs. We'll design a pilot around your highest-priority research question.
Your methodology · Your sample · No monthly fee on Starter
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