Consumer Insights Teams

The customer insights platform that builds compounding intelligence

Answer more research questions with the same team. Keep your methodology, bring your own sample or use our 4M participant panel, and build a searchable history of interviews and evidence.

Your methodology and sample
Evidence-linked findings
Searchable intelligence hub
Researcher using User Intuition AI-moderated research platform
Live
Research findings Preview
78%
Coverage

From individual interviews to a clearer picture.

Depth85%
Speed92%
Breadth71%
AI insight

Cross-study synthesis reveals premium perception drivers consistent across 3 prior brand studies...

Linked to participant evidence

Trusted by teams at

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

A customer insights platform helps research teams collect, organize, and retrieve evidence for business decisions. User Intuition combines AI-moderated qualitative interviews with a searchable Customer Intelligence Hub, so each new study adds context that colleagues can review and reuse. Your researchers set the learning goals, approve the discussion guide, and assess the findings; AI moderation expands interviewing capacity and supports first-pass analysis. Bring your own sample or recruit through User Intuition's 4M participant panel, then inspect recordings, transcripts, and participant quotations alongside the themes. Starter voice interviews cost $30 per quality call with your sample or $60 with standard panel recruitment, with no monthly fee; specialty audiences are quoted separately. Thirty interviews cost $900 or $1,800 before any incentives you arrange for your own sample. This supports small follow-up studies as well as larger programs, while research teams retain methodology, judgment, and the decision about what evidence is sufficient.

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.
The Problem

How Do Insights Teams Build Knowledge That Compounds?

Most insights teams run high-quality research that quietly disappears after the readout. Each study gets filed, summarized in a deck, and forgotten by the time the next question arises. One-off studies never compound.

01

Knowledge Silos Across Studies

Findings from last quarter's brand study sit in a deck nobody opens. The team running concept testing this quarter has no way to access or build on prior learnings.

02

More Briefs Than Fieldwork Capacity

Your team balances new briefs, ongoing programs, and evidence review. Interview scheduling and first-pass analysis can limit how many questions fit inside a research cycle.

03

Turnaround Kills Relevance

When fieldwork takes longer than the decision window, stakeholders may act before the evidence is ready. Parallel interviewing helps when participants are available.

04

Quantitative Surveys Miss the Why

Surveys tell you 68% prefer option A. They can't tell you why — or what to do about the 32% who didn't. You're making decisions on incomplete evidence.

05

Turnover Erases Institutional Memory

When a senior researcher leaves, years of accumulated understanding walk out the door. The replacement starts from zero with no searchable record of what's already been learned.

06

No Cross-Study Synthesis

You've run 40 studies this year but can't answer 'what do we know about premium perception across all our research?' There's no way to query findings across projects.

The Solution

How Does User Intuition Build Intelligence That Compounds?

Insights teams use User Intuition to turn one-off studies into a searchable intelligence system. Every AI-moderated study feeds the same hub, so findings accumulate, cross-study patterns emerge, and institutional knowledge survives turnover instead of disappearing into slide decks that nobody reopens six months later.

How do insights teams stop losing knowledge between studies?

Every study feeds a permanent, searchable intelligence hub. Cross-study patterns surface automatically, and new team members query the full history of past research instead of starting from zero when they join.

How can research teams answer more questions with the same team?

Keep researchers focused on design and judgment while AI handles parallel interviewing and first-pass analysis. Starter voice interviews cost $30 with your sample or $60 with standard panel recruitment, per quality interview. Recruitment timing and specialist costs depend on the audience.

How do insights teams ensure research knowledge survives turnover?

The intelligence hub stores every finding, verbatim, and theme permanently. When a senior researcher leaves, nothing is lost. Replacements query years of accumulated evidence instead of rebuilding institutional memory from scratch.

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

Explore all 15 slides, from shopper evidence to recommendations.

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

1 / 15How Walmart shoppers decide

Download PDF

Bring your own sample

$30 per quality voice interview

Use our 4M panel

$60 per quality voice interview

Use Cases

How Consumer Insights Teams use
User Intuition

Brand Health Tracking

Track brand perception, awareness, and consideration continuously with AI-moderated depth interviews instead of shallow tracking surveys.

Always-on brand intelligence

Concept Testing

Validate concepts, messaging, and packaging with 50-300 consumers in 24 hours. Iterate fast enough to test multiple rounds before launch.

Test-learn-refine in days

Consumer Insights

Uncover purchase motivations, unmet needs, and decision drivers through 30+ minute AI-moderated conversations that probe 5-7 levels deep.

Understand the why behind behavior

Competitive Intelligence

Interview competitor customers to understand switching triggers, unmet needs, and perception gaps you can exploit.

Win on evidence, not assumptions

Shopper Insights

Map shopper missions, decision hierarchies, and in-store vs. online dynamics through conversational depth research.

Decode the path to purchase

Market Intelligence

Build continuous competitive and market intelligence that compounds over time instead of point-in-time snapshots.

Intelligence that compounds
Compare

How Does User Intuition Compare to Survey Platforms, Research Agencies, and Syndicated Data for Insights Teams?

Dimension User Intuition Survey Platforms (Qualtrics / SurveyMonkey)Research AgenciesSyndicated Data (Nielsen / Mintel)
Depth of Insight 30+ min · 5-7 laddering levels per consumer Closed-ended questions, shallow open-endsDeep but limited to 15-30 interviews per projectCategory-level trends, no custom depth
Time to Insights 24 hours from brief to structured findings 1-2 weeks for fielding + analysis6-12 weeks from RFP to final reportMonthly or quarterly data releases
Cost per Study Starter: $30/call BYO; $60 with standard panel recruitment $5K-$20K per wave depending on sample$25K-$75K per project$50K-$200K/year subscription
Scale 50-1,000+ depth interviews per week High volume, low depth per response8-12 per focus group, limited by moderatorBroad market data, no individual depth
Cross-Study Synthesis Built-in · query across all past research instantly Separate datasets per survey, no synthesisDecks in shared drives, manual reviewPre-packaged reports, no custom queries
Institutional Knowledge Permanent searchable intelligence hub Data silos per projectKnowledge walks out with the researcherSubscriptions expire, data access ends
Language Coverage 80+ languages, same methodology Translation needed for each marketRequires local partners per marketCoverage varies by region and category
Customization Fully custom studies launched in 5 minutes Custom survey design requiredCustom but slow — weeks of scopingPre-defined categories, limited customization
How It Works

From brief to boardroom-ready insights

1
5 min

Brief Your Study

Define your research objectives, target audience, and key questions. Our AI builds the discussion guide and screener — no RFP, no vendor onboarding, no 3-week scoping process.

2
24 hrs

AI Conducts the Interviews

Each participant completes a 10-20 minute AI-moderated voice interview. The AI probes 5-7 levels deep on motivations, perceptions, and decision drivers — not surface-level reactions.

3
Seconds

Intelligence Synthesizes

Receive structured findings with evidence-traced insights, segment breakdowns, and verbatim quotes. Every finding links back to the actual consumer conversation that generated it.

4
Ongoing

Knowledge Compounds

Every study feeds your searchable intelligence hub. Cross-study patterns emerge automatically. New team members query past research instead of starting from scratch. Your insights function gets smarter with every study.

"That shift from research as a project to research as a habit is what actually matters. The cumulative picture you build is way more valuable than any single study — every new study builds on what you already know."
Eric O. Eric O., Chief Commercial Officer, Turning Point Brands
"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."
Lilian O., Procurement Lead, Small Business Verified review on SourceForge
Methodology & Trust

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

AI-moderated interviews deliver scalable consumer understanding for the research that drives most business decisions. Human moderation adds value in exploratory and sensory contexts.

AI-Moderated Interviews Are Best For

  • Scalable consumer research across segments and markets
  • Continuous brand and category tracking programs
  • Multi-concept and multi-message testing at speed
  • Cross-study pattern recognition and synthesis
  • Building permanent institutional knowledge bases
  • Consistent methodology across 80+ languages

Consider Other Methods When

  • Ethnographic and in-context observation research
  • Sensitive topics requiring high emotional intelligence
  • Executive stakeholder workshops and alignment sessions
  • Early-stage exploratory research with undefined hypotheses
  • Physical product interaction and sensory evaluation
  • Co-creation sessions requiring real-time facilitation

N=3,420 AI-moderated consumer interviews on User Intuition (2024-2026), using 5-7 level laddering (Gutman 1982). Best for 80% of consumer research; reserve human moderation for ethnographic and early-stage exploratory work.

Get Started

Build an insights function that
gets smarter every quarter

Start with a live research question. Review the calls and findings, then build on the evidence in your next study.

3 free interviews with your own participants

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

Enterprise / Strategic

See how leading insights teams are building compounding intelligence. We'll design a program tailored to your research cadence.

Your methodology · Your sample · No monthly fee on Starter

FAQ

Common questions

Compounding intelligence means every study your insights team runs adds to a searchable knowledge base instead of disappearing into a slide deck. Over time, cross-study patterns emerge automatically, new team members onboard by querying past research, and each project builds on prior findings rather than starting from zero.

Teams approve a discussion guide, choose their sample, run interviews in parallel, and review source evidence before sharing findings. Prior studies remain searchable in the Intelligence Hub. Timing depends on participant availability and scope; research design and judgment stay with your team.

Budget by sample source: 30 Starter voice interviews cost $900 with your sample or $1,800 with standard panel recruitment. Starter has no monthly fee. Add any incentives you arrange for your own sample; specialty recruitment is quoted separately. Compare Professional terms on the pricing page for ongoing programs.

Yes. A small research team can run interviews and review findings directly, using its own sample or the 4M participant panel. The team still defines the research design and checks the evidence. Agencies and specialist researchers can remain useful partners for study design, interpretation, and sensitive work.

Every study, finding, and verbatim lives permanently in the Intelligence Hub. When a senior researcher departs, nothing is lost because new team members query the full history of past research instead of starting from scratch. This solves the institutional memory problem that plagues insights organizations relying on tribal knowledge.

Insights leaders typically track three metrics. Cost per insight drops 80-90% against traditional agency rates. Time-to-decision compresses from 6-12 weeks down to 24 hours. Research utilization rate — how often past findings get reused in new decisions — rises as the searchable Customer Intelligence Hub turns prior studies into a queryable asset. The compounding intelligence model means ROI improves with every study, because prior research becomes a reusable asset rather than a sunk cost.

User Intuition integrates with HubSpot (Salesforce via Zapier), supports Zapier connections to 5,000+ tools, and works alongside existing survey platforms and BI dashboards. Most insights teams layer it on top of their quantitative tools to add the qualitative depth that surveys and analytics miss.

Yes. Blended studies combine your first-party CRM data with the 4M+ global panel in a single project with consistent AI-moderated methodology. This lets insights teams validate internal customer feedback against independent market perspectives in one 24-hour study.

Insights leaders query the Intelligence Hub with questions like 'what do we know about premium perception across all studies this year?' and get evidence-traced answers in seconds. The platform automatically surfaces recurring themes, shifting sentiment, and emerging patterns that no individual study report would reveal on its own.

Most insights teams launch their first study within a day of signing up. There is no vendor onboarding, no RFP process, and no contract required to start. Teams typically begin with a single pilot study of 10-50 interviews, see results in 24 hours, and move to a continuous monthly research cadence within 60 days.

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 — competing platforms bill regardless. User Intuition customers don't pay for that waste.

Last updated