Consumer Insights Teams

The customer insights platform that builds compounding intelligence

Stop losing learnings to filed-and-forgotten decks. AI-moderated interviews feed a searchable intelligence hub — every study makes the next one sharper, faster, and cheaper.

5-7 levels of laddering depth
Highly selective 4M+ recruit network
$25 per interview
24-hour turnaround
Researcher using User Intuition AI-moderated research platform
Live
Intelligence Report Live
78% Coverage
Depth
85%
Speed
92%
Breadth
71%
AI Insight

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

User Intuition
Benchmark
78%
Live

Trusted by teams at

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

A customer insights platform is software that centralizes, organizes, and analyzes customer research and feedback so insights teams can deliver decision-ready evidence to the business — most platforms organize what's already collected and stop there. User Intuition is a customer insights platform powered by AI-moderated interviews, generating new customer evidence and structuring every conversation into a Customer Intelligence Hub that any team member can search in plain language. Across 3,420 AI-moderated interviews conducted for consumer insights teams, User Intuition replaced agency-dependent workflows that cost $25K-$75K per project and took 6-12 weeks to deliver. The shift turns insights from a cost center into a capability that compounds over years. A User Intuition insights study starts at $150, returns hub-ready evidence in 24 hours, and is backed by 5/5 ratings on G2 and Capterra. The output is practical: themed studies, cross-study queries, segment libraries, on-demand insight retrieval, and MCP integration for direct corpus queries — for insights teams, research operations, and strategy leaders.

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

Agency Dependency Drains Budget

You spend $25K-$75K per project and wait 6-12 weeks for agencies to deliver. Most of that cost is project management overhead, not research quality.

03

Turnaround Kills Relevance

By the time agency results arrive, the business has moved on. Decisions get made without evidence because the research timeline doesn't match the decision timeline.

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 do insights teams break free from slow, expensive agency cycles?

At $25 per interview with results in 24 hours, any team member launches a study in 5 minutes without RFPs or vendor onboarding. Run 8-12 continuous studies per year instead of 2-3 large agency projects.

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.

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 From $150 ($25/interview) $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 50+ 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., COO, RudderStack

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 50+ 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

In 24 hours, get the depth of qualitative research at the scale of surveys. Every study compounds into a searchable knowledge base your team reuses forever.

Enterprise / Strategic

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

Free Trial

Launch a study in 10 minutes. Results in 24 hours. No contract, no agency onboarding required.

You only pay for quality interviews.

Every interview is automatically scored against your brief. Misses aren't charged.

No contract · No retainers · Results in 24 hours

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.

An AI research platform for insights teams eliminates the RFP-vendor-wait cycle entirely. Any team member can launch a study in five minutes, receive structured findings in 24 hours, and feed results into the Intelligence Hub. This shifts the insights function from a project-based service desk to an always-on intelligence operation.

At $25 per AI-moderated interview, most insights teams reallocate agency spend into 8-12 continuous studies per year instead of 2-3 large projects. A typical quarterly program of four 50-interview studies costs under $5,000 total, freeing budget for strategic initiatives while increasing research output by 3-4x.

Yes. User Intuition handles participant recruitment from a 4M+ panel, AI moderation with 5-7 levels of probing, and automated synthesis, so even a two-person insights team can run continuous research programs. Brand managers and category leads launch studies independently without needing research methodology training.

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.

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