Market Researchers

Market Research Tools That Deliver Depth at Quant Scale

Stop choosing between depth and speed. Run 200+ AI-moderated panel interviews in 24 hours with 5-7 levels of probing depth — qual rigor at quant scale.

200+ panel interviews in 24 hours
5-7 levels of probing depth
Qual rigor at quant scale
Researcher using User Intuition AI-moderated research platform
Research findings Example
Data Quality

From individual interviews to a clearer picture.

Depth
Scale
Speed
AI insight

Cross-segment analysis reveals price sensitivity varies 3x between cohorts...

Every theme links to its source interviews

Trusted by teams at

Capital One
RudderStack
Nivella Health
Turning Point Brands
Procter & Gamble
Microsoft
CHG Healthcare
TL;DR

Market research tools are software platforms that help researchers design studies, recruit participants, collect data, and synthesize findings — historically split between quantitative tools that scale without depth and qualitative tools that go deep without scale. User Intuition is market research software powered by AI-moderated interviews that eliminate the tradeoff, running 50-300 conversations per study with 5-7 levels of laddering depth in every interview. Across 30,000+ interviews on the platform, User Intuition has combined depth and scale in a single methodology rather than splitting them across separate qual and quant fielding cycles. Depth at scale becomes possible only when AI moderates every conversation with senior-researcher rigor. A User Intuition study starts at $150, returns depth-at-scale 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: themed transcripts at scale, segment-level qualitative cuts, methodologically rigorous laddering depth, and cross-study queries for market researchers, syndicated research firms, and quantitative methodologists.

At a glance

What makes User Intuition different from other market research tools?

User Intuition is a market research tool that runs AI-moderated in-depth interviews at quant scale: 20–30 minute conversations that ladder 5–7 levels into the why, with 200+ panel interviews in 24 hours. Recruit from a 4M+ vetted panel across 58 countries or bring your own sample, and every theme links back to its recording, so depth and sample size stop being a tradeoff.

Which market researchers use User Intuition?

Research agencies running qual and mixed-method projects for CPG, tech, pharma and retail brands, and in-house market research and insights teams who need interview depth at sample sizes that surveys usually own.

How does User Intuition work for market researchers?

You set the objectives and approve the guide and stimulus. The AI moderator runs every interview in voice, video or chat with the same non-leading laddering, and every finding links to its recording and transcript.

What do market researchers get from each study?

Coded themes with verbatims, segment-level cuts, an editable presentation, and every transcript and recording to export for your own analysis.

The problem, and how we fix it

Why do market research tools force a choice between depth and scale?

Qual goes deep on 20 people; surveys reach 2,000 and stop at the score. Here's what market researchers tell us, and how User Intuition closes each gap.

  1. Sound familiar?

    I can run 20 IDIs or 2,000 surveys. Nobody lets me run 200 IDIs.

    200+ in-depth panel interviews in 24 hours

    AI moderation runs hundreds of 20–30 minute conversations in parallel, each laddering 5–7 levels, so qual reaches a sample you can cut by segment, market or wave.

  2. Sound familiar?

    The quant read picked concept A. Explaining why means a follow-up qual wave and double the timeline.

    Qual depth and quant-scale patterns in one study

    Every interview probes the reasons behind the choice, and themes are counted across the full sample, so the why and the how-many arrive together for concept, message and packaging work.

  3. Sound familiar?

    We lose days coding transcripts, and the decision gets made before the analysis is done.

    Automated thematic coding, traced to evidence

    First-pass themes, verbatims and segment reads are ready when fieldwork closes, and every code links to the transcript behind it for your review.

  4. Sound familiar?

    Professional respondents and bots creep into every sample. I spend more time cleaning data than analyzing it.

    Vetted participants, and you pay only for interviews that pass

    Recruit from a 4M+ vetted panel across 58 countries, including senior B2B roles recruited to order, or bring your own sample. Every interview is quality-scored, and you pay only for those that pass.

  5. Sound familiar?

    Our concept tests rotate stimulus order, hold hard quotas and lock the wording. The design has to survive the move to AI moderation.

    A market research platform that runs your design

    Show images, video or prototypes, run a parallel study cell for each stimulus order (A then B, B then A) and analyze each separately, set hard quotas and screeners, and keep required questions pinned in order with wording locked verbatim.

  6. Sound familiar?

    My director isn't asking which AI tool to buy. The question is whether AI should moderate our interviews at all.

    Rigor you can show stakeholders

    The same non-leading laddering runs in every interview, in 80+ languages, with no moderator drift or fatigue. Every finding links to the verbatim, transcript and recording, so a skeptic can check any claim against what was said.

User Intuition in practice

Carevoices

Read the Case Study →
The question
How should a healthcare client price primary and urgent care?
The evidence
AI-moderated patient interviews within an agency-led research program.
The outcome
Carevoices delivered the study in under two weeks and reports more than 3× the concurrent study capacity.
How It Works

From research question to evidence-backed findings

1
5 min

Design the Study

Define your research question, target audience, and any stimulus materials. Bring your own guide, or our AI builds the discussion guide with 5-7 level laddering structure — designed to surface the depth you need with the consistency traditional moderation can't match.

2
24 hrs (panel)

AI Conducts the Interviews

Each participant completes a 20–30 minute AI-moderated voice interview. The AI adapts dynamically to each respondent while maintaining methodological consistency across every conversation — no moderator drift, non-leading language throughout.

3
Seconds

Analyze Evidence-Backed Findings

Receive structured thematic analysis with segment breakdowns, consumer verbatims, and evidence-traced findings. Every insight links back to the exact respondent quotes — so your stakeholders can verify the evidence themselves.

4
Ongoing

Build Compounding Research Knowledge

Every study feeds a searchable intelligence hub. Cross-study patterns emerge across projects. Your team builds on prior research instead of repeating it. New researchers onboard by querying institutional knowledge.

Use Cases

How Market Researchers use
User Intuition

Consumer Insights

Map purchase motivations, brand perception, and unmet needs with 200+ in-depth interviews per study. Enough conversations to compare segments and count how often a theme appears.

Growth opportunities from real evidence

Concept Testing

Test product concepts, packaging, and messaging with real consumers. Multi-concept A/B/C studies with consistent methodology.

Go/refine/kill evidence per concept

Brand Health Tracking

Monitor brand perception, awareness, and consideration continuously — not just in quarterly waves. Detect shifts as they happen.

Perception shifts caught as they happen

Market Intelligence

Continuous competitive intelligence across markets. Understand how consumers perceive your brand vs. competitors in real time.

Continuous competitive intelligence

Competitive Intelligence

Run head-to-head perception studies. Understand switching triggers, competitive positioning gaps, and share-of-mind dynamics.

Evidence-backed competitive strategy

Shopper Insights

Map shopper missions, purchase triggers, and brand switching behavior at the shelf. Go beyond transaction data to understand intent.

The intent behind the transaction
Why User Intuition

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.

5–7 levels by default

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.

Your guide, your probing

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.

Quote → transcript → recording

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.

Vetted by hand, tracked over time

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.

Editable deck, report, transcripts

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.

200+ panel interviews in 24 hours
  • Isolated workspaces
  • Confidential stimulus
  • Never used to train AI models
  • GDPR & CCPA compliant
  • SOC 2 Type II compliant
  • Security →
Compare

How Does User Intuition Compare to Online Surveys, Traditional Qualitative Research, and DIY Interview Tools for Market Researchers?

Dimension User Intuition Online SurveysTraditional Qualitative ResearchDIY Interview Tools (Zoom + NVivo)
Depth of Insight 20–30 min · 5-7 laddering levels per respondent Closed-ended, surface-level responsesDeep but limited to 15-30 IDIs per projectDeep but inconsistent across moderators
Time to Insights 24 hours from design to structured findings on panel studies 2-4 weeks fielding + analysis6–12 weeks per project4-8 weeks including recruit, conduct, and manual coding
Cost per Study From $150 ($30/interview) $2-$5 per response, large samples needed$15K-$75K per project$5K-$20K (moderator time + tools + recruit)
Scale 200+ depth interviews at 20–30 min each 2,000+ responses, shallow depth20 IDIs or 4-6 focus groups typical15-30 interviews before researcher fatigue
Coding and Analysis Automated thematic coding in seconds Pre-coded closed questions, limited analysisManual coding, days of workManual transcript coding in NVivo, days of work
Sample Quality Multi-layer fraud prevention, 98% satisfaction Panel fatigue, speeders, botsHigh quality but small sampleHigh quality but small sample, recruit delays
Methodological Consistency Identical probing across every interview Consistent questions, no probingVaries by moderator skill and energyVaries by researcher, day, and interview fatigue
Knowledge Retention Searchable Intelligence Hub across all studies Raw data exports, no synthesisDecks in shared drives, filed and forgottenFiles scattered across tools, no cross-study search
Sample Research

Hear the interviews. See the presentation.

Explore calls and a sample presentation from our 43-participant Walmart shopper study.

W10
10 min

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.”

Routine top-upOne-stop shopperPrice aware
W30
14 min

Phone replacement, unplanned and urgent

“It made me feel so safe so relieved, and it brightened my day.”

Urgent replacementStaff-assistedNew to the area

Sample presentation

Preview three slides, or download the full 15-slide presentation.

Title slide: How Walmart shoppers decide. 43 shoppers, 7.6 hours of interview, 34 who hit an obstacle, 36 who will return anyway.

1 / 3How Walmart shoppers decide

Download PDF

Bring your own sample

$30 per quality voice interview

Use our 4M+ vetted panel

$60 per quality voice interview

Customer stories

What researchers say

"User Intuition gave us something we'd never had before — the ability to have hundreds of deep conversations with our consumers in days, not months, and actually use those insights to make decisions in real time. That's not incremental improvement. That's a fundamentally different way of building brands."
Eric O. Eric O., Chief Commercial Officer, Turning Point Brands
"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."
Lilian O., Procurement Lead, Small Business Verified review on SourceForge
FAQ

Common questions

The AI uses a 5-7 level laddering technique validated across 30,000+ AI-moderated research interviews. It adapts dynamically to each respondent — probing deeper on interesting threads while maintaining non-leading language calibrated against research standards.

Yes, and in some dimensions better. AI moderation removes moderator drift and fatigue and keeps the language non-leading in every interview. Every interview follows the same probing discipline. 98% of participants rate the experience positively, and completion rates run 30-45% (3-5x higher than surveys).

Multi-layer fraud prevention, starting with a human check: our team reviews a video identity interview with every prospective panelist before accepting them onto our 4M+ panel. Panelists are then verified at signup and tracked across studies, and every voice interview is screened for AI-generated or coached answers, with bot detection, duplicate suppression, and professional-respondent filtering. You can also blend panel respondents with your own first-party customer lists.

Yes. Export full transcripts, structured theme codes, segment data, and verbatims. The platform handles automated analysis, but you always have access to the raw data for your own methodological approach.

Every finding is evidence-traced to specific respondent quotes. Stakeholders can verify any insight by reading the exact words participants used. The methodology is transparent, auditable, and consistent. Agencies use the same evidence trail in client readouts: see how agencies deliver with User Intuition.

That's exactly what User Intuition enables. Each interview delivers qual depth (20–30 minutes, open-ended probing) at quant scale (200+ respondents). You get thematic richness and enough conversations to compare segments, with every theme counted and traced to the people who said it.

80+ languages with the same laddering methodology. No need to hire local moderators or translate discussion guides manually. The AI conducts native-language interviews with culturally appropriate probing.

Your first 3 interviews with your own participants are free, then each quality interview costs $30 on Starter. A traditional qualitative project runs $15K–$75K and 6–12 weeks; a 200-interview study on User Intuition costs $6,000 with your own sample, interviewed in parallel as participants respond, or $12,000 with panel recruitment and back in 24 hours.

A searchable knowledge base where every study compounds. Cross-study pattern recognition surfaces themes across projects, segments, and time periods. Your research builds on itself instead of each study sitting in isolation.

Yes. Set up continuous research programs that interview the same or similar audiences over time. Track how perceptions shift, measure the impact of interventions, and build trend data — all at $30 per quality interview with your own sample, or $60 with standard panel recruitment.

User Intuition only bills for quality interviews — sessions that pass automatic Length, Depth, and Coverage checks. Misses aren't charged, no refund request required. Kantar reports researchers discard 38% of survey data on average due to quality concerns. User Intuition customers don't pay for that waste.

Use in-person or human-moderated methods for ethnographic and in-context observation, taste, scent and other sensory evaluation, research that needs physical product interaction, live co-creation and generative design sessions, and trauma-related topics that need a clinician present. AI-moderated interviews cover large-scale qual, concept, message and packaging evaluation, tracking and longitudinal studies, and senior B2B audiences recruited to order, in 80+ languages.

Yes. Connect Prolific, Cint / Lucid or CloudResearch through the integrations, bring another provider through a custom link, upload your own customer list, or send respondents from your own survey straight into the interview through a link. Or recruit from the 4M+ vetted panel across 58 countries. Every transcript, recording and screener answer exports as CSV, with translated verbatims alongside the original language, for analysis in the tools you already use.

For market researchers running qual for clients or in-house, the deciding difference is depth. User Intuition ladders 5–7 levels on every 20–30 minute interview by default, where Listen Labs lets the researcher set 0–3 follow-ups per question, Conveo allows up to five and Strella leaves depth to the researcher. User Intuition recruits from its own 4M+ vetted panel, where a person vets every panelist by hand, while Outset and Strella use partner panels and Conveo is not a panel provider. User Intuition publishes $30 per quality voice interview ($60 with standard panel recruitment) with no subscription required; Outset sells custom subscriptions and Strella sells annual plans.

Yes. Agencies running qual and mixed-method projects for CPG, tech, pharma and retail clients run their studies on User Intuition under their own methodology. Each client gets an isolated workspace, unreleased stimulus stays confidential, and your discussion guide runs as written, with your own probes and quotas. Recruit from the client’s lists, where interviews run in parallel as participants respond, or from the 4M+ vetted panel across 58 countries, where a person vets every panelist by hand. Every theme in the deliverable traces to the verbatim and the recording. See how agencies deliver client work on User Intuition.
Get Started

Research that compounds
with every study you run

With 200+ panel interviews in 24 hours, get the depth of qual at the scale of quant. Every study adds to a searchable knowledge base your team can reuse anytime.

3 free interviews with your own participants

Start with an editable research brief. Review your plan and discussion guide before inviting participants.

Enterprise / Research Teams

See AI-moderated interviews in action. We'll walk through methodology, sample quality controls, and how the Intelligence Hub works.

Your methodology · Your sample · No monthly fee on Starter

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