User Researchers

Democratize research without losing quality

Your team has more research requests than capacity. Product managers are making decisions without evidence. Democratization sounds great until quality collapses. User Intuition lets you scale research across your org — enabling non-researchers to run rigorous studies while you focus on strategic work that moves the roadmap. When teams need outside participants, the platform also gives them access to a highly selective 4M+ recruit network instead of ad hoc recruiting.

$20 per interview
48-72 hour turnaround
Highly selective 4M+ recruit network
Intelligence Report Live
0% Coverage
Requests
94%
Quality
87%
Reuse
62%
AI Insight

Research team serving 4x more product teams without additional headcount...

User Intuition
Benchmark
79%
Live

Trusted by teams at

Capital One
RudderStack
Nivella Health
Turning Point Brands
BuildHer
Abacus Wealth
TL;DR

Across 1,670 AI-moderated interviews conducted by user research teams, User Intuition scales research capacity without scaling headcount or sacrificing methodological rigor. Each study delivers 50-300 in-depth user interviews with 5-7 levels of probing depth, enabling non-researchers to launch rigorous studies because the methodology is built into the platform. Each study costs approximately $20 per interview with results in 48-72 hours, compared to 2-6 weeks and $5K-$25K for traditional moderated studies. Results include structured thematic analysis, evidence-traced design implications, democratization-ready templates, and user segment breakdowns with verbatim user language that product teams can verify directly. Every conversation feeds a searchable intelligence hub where research teams can query past findings across products, user segments, and study types — building compounding research intelligence that gets sharper with every study and replaces static repositories that nobody queries with a living knowledge base.

The Problem

How Do User Research Teams Scale Depth Without Scaling Headcount?

Most user research teams face more requests than they can handle. Every product team needs evidence, but there aren't enough researchers to run every study — so teams either wait weeks or make decisions without research.

01

Too Many Requests, Too Few Researchers

Product teams queue research requests for weeks. Half the decisions that needed evidence were made before your study even launched. Your backlog is a graveyard of missed opportunities.

02

Democratization Without Quality Control

You empower PMs to run their own research. They write leading questions, interview 3 users, and call it validated. Democratization without methodology is just confirmation bias at scale.

03

Recruiting Friction Slows Everything

Finding the right participants takes days or weeks. Internal panels are exhausted. External recruiting adds cost and delay. By the time you field the study, the sprint already shipped.

04

Longitudinal Tracking Is Impossible at Scale

You want to track how user perception changes over time. But tracking studies require consistent methodology across waves — which requires your personal involvement every time.

05

Insight Repositories Go Unused

You've built a research repository. Nobody uses it. Findings from last quarter's study sit unqueried while a PM re-runs the same research because they didn't know it existed.

06

No Time for Strategic Research

You spend 80% of your time on tactical requests — feature validation, usability fixes — and never get to the foundational research that would shape product direction for the next year.

The Solution

How Does User Intuition Scale Research Without Scaling Headcount?

User research teams use User Intuition to scale rigorous research without scaling headcount at the same rate. Methodology is built into the platform, so non-researchers can launch bounded studies while researchers focus on strategy, synthesis, and standards instead of becoming the operational bottleneck for every request.

How do research teams clear the backlog without hiring more researchers?

PMs and designers launch rigorous studies independently because 5-7 level laddering methodology is built into the platform. Your team sets guardrails while the AI handles 50-300 interviews per study in 48-72 hours at $20 each.

How do research teams democratize without losing quality control?

The AI enforces consistent probing methodology, non-leading language, and adaptive depth on every interview. Non-researchers get the same methodological rigor as your senior team members without the training or experience gap.

How do research teams stop research debt from accumulating?

Every study feeds a searchable intelligence hub that replaces static repositories nobody queries. Product teams find relevant past research before launching new studies, and cross-study patterns surface automatically across the organization.

Use Cases

How User Researchers use
User Intuition

UX Research

Run usability studies, feature evaluations, and experience assessments with 50-300 users. Go beyond 5-person tests to statistically meaningful UX insights.

40-60% more engineering productivity

Product Innovation

Validate new product ideas, feature concepts, and roadmap priorities with real users before committing engineering resources.

Evidence-based roadmap prioritization

Concept Testing

Test design concepts, feature configurations, and UX patterns with real users. Multi-concept studies with consistent methodology.

Validate before you build

NPS & CSAT Deep-Dives

Go beyond satisfaction scores. Interview users to understand why they rate your product the way they do and what would improve their experience.

Actionable insight from every score

Win-Loss Analysis

Understand why users chose your product or a competitor. Surface the decision drivers that analytics and CRM data never capture.

23%+ win rate improvement

Consumer Insights

Map user needs, pain points, and mental models across segments. Build the foundational understanding that shapes product strategy.

Strategic research at tactical speed
Compare

How Does User Intuition Compare to Unmoderated Platforms, In-House Moderation, and Research Agencies for User Research Teams?

Dimension User Intuition Unmoderated Platforms (Maze / Lyssna)In-House ModerationResearch Agencies
Depth of Insight 30+ min · 5-7 laddering levels per user 5-15 min task-based clips, surface reactionsDeep but limited by researcher capacityDeep but limited to 15-30 interviews per project
Time to Insights 48-72 hours from design to structured findings 24-48 hours for task completion data2-6 weeks (recruit + conduct + synthesize)6-12 weeks from briefing to final report
Cost per Study From $200 ($20/interview) $100-$500+ per study depending on panelInternal team cost (salary + opportunity cost)$15K-$75K per project
Scale 50-300 in-depth interviews per study 50-500 task completions, shallow depth5-12 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 onlyQuality depends entirely on researcher skillQuality depends on agency team assigned
Recruiting 4M+ panel + CRM import, no sourcing delay Built-in panel, limited to platform usersInternal panels exhaust, external recruit takes weeksAgency handles recruit, adds weeks and cost
Methodological Consistency Identical probing methodology every interview Consistent tasks, no adaptive probingVaries by researcher energy and approachVaries by moderator assigned to project
Knowledge Retention Searchable Intelligence Hub across all studies Individual test results, no cross-study searchConfluence pages and notebooks nobody findsDecks in shared drives, knowledge walks out the door
How It Works

From research request to org-wide insight

1
5 min

Design the Study

Define the research question and target users. 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.

2
48-72 hrs

AI Conducts the Interviews

Each user completes a 10-20 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.

3
Seconds

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.

4
Ongoing

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.

"We tested three packaging concepts in 72 hours and discovered one design was perceived as cheaper than competitors — despite premium positioning. User Intuition saved us from a costly repositioning disaster before we went to production."

Eric O., COO, RudderStack

Methodology & Trust

When Should You Use AI-Moderated Interviews for User Research — and When Shouldn't You?

AI-moderated interviews handle the volume and consistency your team needs for most research requests. Human facilitation remains essential for observational and participatory methods.

AI-Moderated Interviews Are Best For

  • Large-scale attitudinal research across user segments
  • Feature validation and concept testing at statistical scale
  • Continuous feedback programs that run alongside sprints
  • Democratized research where PMs need methodology guardrails
  • Multi-market research in 50+ languages
  • Tracking studies with consistent methodology across waves

Consider Other Methods When

  • Usability testing requiring screen-share and task observation
  • Generative research with no hypothesis (pure exploration)
  • Accessibility research with users requiring accommodations
  • Co-design sessions and participatory design workshops
  • Research involving minors or vulnerable populations
  • Complex enterprise workflows requiring live system interaction

Most user research teams use AI interviews for 80% of attitudinal research and reserve human moderation for usability testing and participatory design.

Get Started

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.

Research Teams

See how user research teams are scaling impact across their orgs. We'll design a pilot around your highest-priority research question.

Free Trial

Launch a study in 10 minutes. Results in 48-72 hours. Judge the depth yourself.

No contract · No retainers · Results in 48-72 hours

FAQ

Common questions

Yes. The methodology is built into the platform — 5-7 level laddering, non-leading language, and adaptive probing happen automatically. PMs and designers launch studies that follow the same methodological standards your research team uses. You set the guardrails; the AI enforces them.
User Intuition handles the research that would otherwise sit in your backlog — feature validation, satisfaction deep-dives, and tactical studies. Your team focuses on strategic, generative, and high-complexity research while the platform handles volume.
Yes. Upload participant lists from your CRM, user database, or existing panel. You can also use our 4M+ vetted external panel for B2C and B2B audiences. Blended studies (internal + external) are fully supported.
Define your target audience with screening criteria. The platform matches participants from our 4M+ panel or your uploaded lists. No more weeks of recruiting delays — participants are matched and interviews begin within hours.
Traditional UX tools focus on task-based usability testing with 5-8 users. User Intuition runs 50-300+ in-depth attitudinal interviews per study with 5-7 levels of probing depth. It's the difference between observing what users do and understanding why they do it.
Unlike static repositories (Confluence, Notion), the Intelligence Hub is searchable and queryable. Product teams find relevant past research before launching new studies. Cross-study patterns surface automatically. It's a living knowledge base, not a filing cabinet.
Yes. Set up longitudinal research programs that interview users after each release or at regular intervals. Track how perception, satisfaction, and needs evolve over time with consistent methodology across every wave.
Each interview costs $20 on Professional plans. Studies start at $200. Most user research teams see 93-96% cost reduction compared to traditional moderated studies ($15K-$27K per project). No setup fees, no hidden costs.
The AI uses a laddering methodology refined through McKinsey consulting engagements. It probes 5-7 levels deep, adapts to each respondent, and maintains consistency that even senior researchers can't match across 200+ interviews. 98% of participants rate the experience positively.
Sign up for a free trial and launch a study in under 10 minutes. Results arrive in 48-72 hours. No implementation project, no IT involvement. Most research teams run their first pilot within a week.
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