Concept Tests

Concept Tests That Go Deeper Than the First Reaction

User Intuition runs concept tests as AI-moderated interviews — show video, image, or product stimulus, then probe 5–7 layers deep into the reasoning, identity, and motivations behind each reaction. From 5 to 300+ interviews per study, with 200+ panel interviews in 24 hours.

Panel results in 24 hours
5 to 300+ interviews per study
5-7 levels of laddering depth
Researcher using User Intuition AI-moderated research platform
Interview preview Voice
AI interviewer

Walk me through the last time you made this choice. What tipped it?

Recording 11:42
AI insight

The deciding reason surfaced four follow-ups deep, not in the first answer.

Every finding links to the recording

Trusted by teams at

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

Concept testing usually captures one of two things: a survey score (people rate it 8/10) or a first reaction (the eyebrow-raise on initial view). Neither tells you why. User Intuition runs concept tests as AI-moderated in-depth interviews — show the stimulus, then probe 5–7 layers deep into the reasoning, identity claims, and social context behind each reaction. Layer 1 is the surface ("I'd buy it"). Layers 2–3 reveal decision criteria ("it reminds me of X"). Layers 5–7 surface the identity and emotional drivers ("my sister would think I'm crazy for getting this"). User Intuition concept tests run from 5 to 300+ interviews per study, return panel results in 24 hours, and recruit from a 4M+ vetted panel across 58 countries, interviewing in 80+ languages. The output isn't a rating — it's the verbatim chain of reasoning that determines whether a concept ships, iterates, or dies.

At a glance

What is a concept testing platform?

A concept testing platform captures reactions to unreleased packaging, ad creative, product concepts, positioning and pricing before launch. User Intuition shows the actual image, video, product or in-context stimulus inside 20–30 minute AI-moderated interviews and ladders 5–7 levels into the reasoning behind each reaction, with 200+ panel interviews in 24 hours from a 4M+ vetted panel across 58 countries, or your own sample, run in parallel as participants respond.

Who uses the User Intuition concept testing platform?

Research agencies testing concepts for brand clients, and in-house insights, innovation and creative teams that need the reasoning behind a score before a concept ships.

How does AI-moderated concept testing work?

Upload your guide and image, video, product or in-context stimulus. Participants see the actual concept inside the interview in voice, video or chat, you compare up to 5–7 concepts per study, and every finding links back to the recording.

What do you get from a concept test?

Themed verbatims, friction maps showing where each concept loses momentum, identity drivers, competitive mentions, a ship-or-iterate recommendation, an editable presentation, and every transcript and recording.

The problem, and how we fix it

Why do concepts that win on survey-based concept testing platforms still fail in market?

Rating scales capture preference, not the friction that kills a launch on shelf, in feed or on a sales call. Here's what researchers tell us, and how User Intuition closes each gap.

  1. Sound familiar?

    The concept scored 8 out of 10. Six months later it was sitting on shelf, unsold.

    The reasoning behind every concept score

    Each reaction is laddered 5–7 levels into identity, social context and hesitation, the friction a Likert scale never records, so you see why a concept gets repeat-bought or scrolled past.

  2. Sound familiar?

    The synthetic personas loved every concept. Our actual shoppers didn't.

    Real consumers, not synthetic personas

    Every interview is a verified person from a 4M+ panel across 58 countries, reacting in real time in 80+ languages, not an LLM simulation of your buyer.

  3. Sound familiar?

    Whichever concept people saw first scored best, and we couldn't untangle preference from order.

    Separate cells with rotated order

    Show each concept on its own or several in sequence, and run parallel cells that rotate the order, one seeing A then B and another B then A. Each cell has its own screeners and hard quotas, and you read every cell separately before comparing them.

  4. Sound familiar?

    We describe the concept in a paragraph of copy, and people react to the paragraph.

    Native image, video, product and in-context stimulus

    Show the actual mock with its price tag, shelf context and competing brands beside it, directly in the interview flow, so consumers react to the concept, not a description of it.

How It Works

From Concept to Decision in 4 Steps

Upload stimulus, let the AI probe, and get ship-or-iterate evidence from the panel in 24 hours.

1
5 min

Upload Concept Stimulus

Upload image, video, product mockup, or in-context layout. Define your target audience from a 4M+ vetted global panel. Choose interview mode — voice, video, or chat. Bring your own guide, or the AI builds the discussion guide and screener automatically.

2
Instant

AI Shows + Probes Reaction

Each participant joins on their own time. The AI presents the stimulus, captures the immediate reaction, and ladders 5-7 levels deep into the reasoning — identity claims, social context, friction, and competitive comparisons.

3
24 hrs (panel)

Verbatim Reasoning Synthesized

As interviews complete, findings are processed through a structured ontology — extracting reactions, identity drivers, friction patterns, and competitive mentions. Quantified themes emerge with verbatim evidence behind every claim.

4
Ongoing

Decision-Ready Output in the Intelligence Hub

Each study returns a ship-or-iterate recommendation with evidence trails. Findings feed your Customer Intelligence Hub — searchable across studies, with cross-concept patterns surfacing as the catalog grows.

Stimulus Types

Test Any Concept Format in the Interview Flow

Show participants the actual concept — not a description of it — and capture reactions that survey-based testing can't access.

Image Concept Testing

Show packaging mocks, ad creative, logo concepts, or any static visual stimulus. Participants react to the actual artifact — color, framing, claims, and price tag together.

Diagnostic feedback on packaging and creative before production spend

Video Concept Testing

Show TV ads, product demos, brand films, or social-media-style creative. Capture reactions to specific moments and the reasoning behind drop-off, replay, or share intent.

Catches the second-viewing fatigue and skip-points that pre-test panels miss

Product + In-Context Testing

Show physical product mockups, app screens, comparative shelf layouts, or in-context shopping scenarios. Capture how the concept lands when it's surrounded by competitors or category cues.

Surfaces the in-shelf and in-feed friction that lab settings hide

Multi-Concept Comparison

Show A vs B vs C in the same interview. Capture stated preference, revealed reasoning, and the specific feature, frame, or visual cue that drove the choice — not just the winning concept.

Tells you why one concept won, not just that it won — informing the next iteration
Methodology & Trust

Visual Stimulus + Adaptive Laddering

Survey-based concept testing returns scores. User Intuition combines visual stimulus presentation with 5-7 levels of structured laddering — surfacing the identity-driven reasoning, social context, and category-specific friction that determine whether a concept ships or iterates.

How User Intuition Tests Concepts

  • Visual stimulus shown natively in the interview — image, video, product, in-context
  • 5-7 levels of structured laddering on every reaction (not just the first few interviews)
  • Multi-concept comparison in a single session — captures the why behind preference, not just the winner
  • Identity-driver extraction: who would buy this, who wouldn't, and what each signals about the buyer
  • Friction-pattern mapping across participants — where the concept loses momentum, and why
  • Competitive mentions captured automatically — what the concept reminds participants of, for better or worse

Built-In Quality Controls

  • Panelists vetted and tracked longitudinally; every session screened for AI-generated or coached answers
  • Attention and engagement monitoring throughout every interview
  • Professional respondent filtering across all panel sources
  • Evidence trails for every finding — cite the exact verbatim
  • Methodology transparency: see why the AI asked each question
  • GDPR & CCPA compliant; customer data is never used to train AI models

Methodology validated across 30,000+ AI-moderated interviews. Visual stimulus + adaptive laddering — not a survey with a logo on it.

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: a person listens to every panelist's interviews before they're accepted, then every session is screened for AI-generated or coached answers and panelists are tracked across studies. Or bring your own: customer lists, your panel provider, or respondents straight from your survey.

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 examination underway
  • Security →
Compare

How does User Intuition compare to Zappi, Quantilope, and Nielsen BASES?

User Intuition is built for early-stage diagnostic depth; Zappi and Quantilope for fast quant concept screening; Nielsen BASES for late-stage volumetrics.

Dimension User Intuition Nielsen BASES Zappi / Quantilope
Methodology AI-moderated in-depth interviews with visual stimulus Volumetric forecasting + survey panel Automated survey panel
Turnaround 24 hours for panel audiences 6-12 weeks Fast automated fielding
Output type Verbatim reasoning, friction maps, identity drivers Volume forecast (units, share) Concept scores + segment cuts
Visual stimulus Image, video, product, in-context Limited (static print) Image-led survey
Design control Monadic or sequential monadic cells with hard quotas Standardized volumetric design Standardized survey templates
Best for Diagnostic refinement, early-stage exploration Late-stage volumetric gate Fast quant concept screening
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

"What surprised me was the moderator. In one pack study people kept saying a concept felt "more premium," and instead of logging that and moving on it kept asking what premium meant to them, until it came out that they meant the front wasn't cluttered, they could find the ingredients, and it looked like something they'd actually put in their cart. I'd normally only get that from a good human moderator."
Aldrin M., Operations Lead, Computer Software Verified review on Capterra
"We ended up testing four screens and a concept image for a shared-lists idea that design was falling in love with. Fourteen video interviews later, we paused the build and saved a sprint on something people didn't connect with."
Vincent M., Project Manager, Mid-Market Verified review on SourceForge
FAQs

Frequently Asked Questions

A concept testing platform is research software that captures consumer reactions to unreleased ideas — packaging, ad creative, product concepts, brand positioning, pricing tiers — before launch. User Intuition is a concept testing platform that runs AI-moderated in-depth interviews with visual stimulus, surfacing not just preference scores but the reasoning consumers can't put on a Likert scale.

Zappi and Quantilope are built for fast quant concept screening. User Intuition runs AI-moderated in-depth interviews with visual stimulus — 5-7 levels of reasoning per participant instead of fixed survey questions. Output is verbatim reasoning and friction maps rather than concept scores, so the two work together: screen with quant, diagnose with depth.

Up to 5-7 concepts per study without diluting the laddering depth. For larger concept pools, User Intuition recommends a staged approach: a fast diagnostic round across 10-15 concepts to find the top contenders, then a deeper study on the 3-5 finalists. The Customer Intelligence Hub stores reactions across studies for cross-concept search.

Yes. User Intuition supports native-language AI interviews in 80+ languages — English, Spanish, Portuguese, French, German, Chinese, and more. Concept tests can run in parallel across markets with localized stimulus, and results auto-translate while preserving original transcripts.

Concept tests start from $150 for a 5-interview study ($30 per interview using your own audience). Larger studies scale linearly — 30 interviews = $900, 50 = $1,500. With standard panel recruitment, interviews are $60 each. There are no platform fees on self-serve.

Concept tests on the panel return 200+ interviews in 24 hours, and tests with your own customers run in parallel as participants respond. Panel participants join on their own time from a 4M+ vetted global panel; the AI moderator runs interviews around the clock. Findings synthesize as interviews complete, with the final report available within hours of fieldwork ending.

The best concept testing platform depends on the decision stage. For early-stage diagnostic refinement — surfacing the reasoning behind preference — User Intuition runs AI-moderated interviews with visual stimulus, from 5 to 300+ interviews per study, with 200+ panel interviews in 24 hours. For fast quant concept screening, Zappi and Quantilope fit; for late-stage volumetric forecasting, Nielsen BASES remains the industry default. The most effective programs combine them: diagnostic depth from User Intuition first, volumetric gating from BASES on finalists.

Synthetic concept testing uses LLM-generated personas to simulate consumer reactions. The reactions are plausible but converge on training-data averages — they miss outliers, refusals, and the category-specific signals real shoppers bring. User Intuition's published research on synthetic interviews (running the same guide through 117 real participants and 90 LLM-generated synthetic interviews) found that synthetic outputs scored 100% engagement-positive and missed every outlier. Real participants surfaced a 55% disengagement floor and a 26% refusal-pattern subset that synthetic data structurally cannot generate.

Most concept tests need 10-50 interviews to surface stable patterns. User Intuition's structured laddering surfaces themes faster than survey-based testing because each interview returns 5-7 levels of reasoning rather than a single rating. Plan for saturation at 15-25 interviews for narrow audiences and 30-50 for broader segments.

Yes. Show each concept on its own for a monadic read, or run each concept order as its own parallel cell for sequential monadic: one cell sees concept A then B, another sees B then A. Each cell carries its own screeners and hard quotas, and cells sit side by side in the Intelligence Hub and in your exports, so you can analyze every cell on its own and compare them directly. Upload image, video or prototype stimulus when you set up the study, and export every transcript and screener answer as CSV.
See It in Action

Test Your Next Concept With Real Consumers

Book a demo to see a concept test in action, or start free with 3 interviews. Panel recruiting is billed separately.

See it First

Explore a real concept test output — no sales call needed.

Self-serve

Launch your first concept test in minutes. Panel results in 24 hours.

No synthetic personas. Real consumers, real reactions, panel results in 24 hours.

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