Concept Testing

Test concepts with real consumers

Test messaging, packaging, and positioning before committing budget. Understand what consumers choose, why it matters, and what to improve.

Test with verified target consumers
5-7 levels deep on the why
Results in 24 hours
Researcher using User Intuition AI-moderated research platform
Research findings Example
Interviews citing claim clarity

From individual interviews to a clearer picture.

Premium cues
Claim clarity
Price doubts
AI insight

Top theme: claim clarity. "I like the look, but I couldn't tell what makes it different from what I buy now."

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

AI concept testing is a method that puts new concepts, packaging, and messaging in front of real consumers and probes their reactions in conversation — before budget gets committed. User Intuition is concept testing software powered by AI-moderated interviews, going beyond yes/no preference to the why underneath and testing concepts in 24 hours. Across 1,280 AI-moderated concept and message-testing interviews spanning CPG, software, healthcare, and financial-services teams, User Intuition found the team-favorite concept underperformed the one consumers preferred — for reasons nobody in the room considered. That gap closes only when consumers can talk about appeal, clarity, and purchase intent in their own words. A User Intuition concept test starts at $150, returns ranked results in 24 hours, and is backed by 4.9/5 on G2 and 5/5 on Capterra. The output is practical: ranked concept performance by segment, language consumers use, and credibility checks for product, brand, and innovation teams before they commit budget.

At a glance

What is concept testing with User Intuition?

Concept testing with User Intuition puts your pack, message or prototype in front of real consumers in 20–30 minute AI-moderated interviews in voice, video or chat, that ladder 5–7 levels into appeal, clarity and purchase intent. 200+ reactions come back in 24 hours.

Who is concept testing with User Intuition for?

Agencies, insights and innovation teams deciding what to change before a concept goes to production.

How does AI-moderated concept testing work?

Upload pack and shelf images, video or a prototype. Compare concepts A, B and C in one interview, or run each stimulus order as its own cell with hard quotas. The moderator probes every reaction on the spot.

What do you get from a concept test?

Drivers and verbatims by concept and by cell, what to change next, an editable presentation, and every transcript, recording and screener answer, exportable to CSV.

The problem, and how we fix it

Why does concept testing give you a score, but not what to change?

Most concept tests return a score without the reason, too late to change the concept. Here's what researchers tell us, and how User Intuition closes each gap.

  1. Sound familiar?

    We got “68% like it.” Then someone asked what to change, and we had no answer.

    The why beneath every reaction

    The moderator ladders 5–7 levels into appeal, clarity and purchase intent, so you hear what to change in the consumer's own words.

  2. Sound familiar?

    By the time the readout lands, the pack is already in production.

    200+ concept reactions in 24 hours

    Launch on Monday and read the reasons on Tuesday, while the concept can still change.

  3. Sound familiar?

    We can afford one round. There's never budget to test the revised version.

    Test, refine, test again

    Run the first round, revise from the evidence, and test the new version the same week. You pay only for interviews that pass.

  4. Sound familiar?

    Half the sample sees A first, half sees B first, and each cell is read on its own. If an AI tool can't run that design, we can't use it.

    Your concept test design, run cell by cell

    Run each stimulus order as its own parallel study cell, A then B in one and B then A in the other, with hard quotas and screeners per cell and the actual pack, shelf image, video or prototype in front of every respondent. Each cell is analyzed on its own.

  5. Sound familiar?

    We learned what works on premium cues last year. Nobody can find the deck.

    A concept library that compounds

    Every test lands in your Intelligence Hub, searchable by concept, segment and driver, so the next brief starts from what already worked.

User Intuition in practice

Insyder

Read the Case Study →
The question
Which consumer problem should a new product address?
The evidence
500 US consumer conversations, followed by tests of two product concepts.
The outcome
The team chose a launch direction and made independent, trustworthy product rankings central to its positioning.
How It Works

From concept to consumer verdict

1
5 min

Design The Study

Upload your concepts — packaging, messaging, ads, or product ideas — and define your target audience. Bring your own guide, or our AI builds the evaluation guide and screener to surface the specific consumer reactions that matter for your go/no-go decision.

2
24 hrs

AI Conducts the Conversations

Each consumer completes a 20–30 minute AI-moderated voice interview reacting to your concepts. The AI probes deeper on appeal, clarity, purchase intent, and the emotional drivers behind preference — not just top-2-box scores.

3
Seconds

Get Evidence-Backed Results

Receive a structured concept evaluation with go/refine/kill signals, consumer verbatims, segment breakdowns, and clear iteration recommendations — so you know exactly what to change before the next round.

4
Ongoing

Create Compounding Intelligence

Every concept test feeds your searchable intelligence hub. Cross-concept patterns emerge across studies — which claims resonate by segment, which design elements drive premium perception — so your team builds on what already worked.

Use Cases

Real-world applications
for Concept Testing

Product Concept Testing

Test new product ideas, improvements, or feature combinations before committing to development and launch.

Validate before you build

Packaging Design Testing

Test packaging designs, label refreshes, sustainability claims, and material changes before production.

Avoid repositioning disasters

Messaging & Positioning

Test different positioning angles, benefit statements, and campaign messages before rolling out.

Launch with proven messaging

Ad Concept & Creative Testing

Test video ads, print concepts, social media creatives, and tagline alternatives before spending on production.

Maximize creative ROI

Brand & Product Naming

Test whether product names are memorable, communicate the right message, and avoid negative associations.

Avoid costly naming mistakes

Pricing & Value Perception

Test pricing strategies, bundle options, subscription vs. purchase models, and perceived value.

Optimize willingness to pay
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. Nothing in the deliverable you can’t defend.

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

Why concept interviews beat monadic surveys and focus groups

Dimension User Intuition Quant Concept Screening (Zappi / Quantilope)Focus Groups
Depth of Motivation 5–7 levels of laddering into why consumers prefer a concept — emotional and functional drivers Top-2-box scores and purchase intent; no probing into the why behind preferenceVerbal reactions but contaminated by groupthink, moderator influence, and social desirability
Speed Results in 24 hours 1–2 weeks for fielding and automated analysis6–12 weeks including recruitment, facility booking, moderation, and synthesis
Cost Starter: $150 for 5 voice interviews with your own sample Per-concept or subscription platform fees; scores, not reasons$15K–$75K per project including recruitment and facility
Scale From 5 to 300+ individual 1-on-1 concept interviews per study 500+ shallow responses; volume compensates for lack of depth6–8 participants per group; 3–4 groups typical; limited generalizability
Bias Control One-on-one interviews keep groupthink out, and every participant gets the same neutral, non-leading probing, so every reaction is independent Question framing bias; no ability to probe unexpected reactionsDominant voice bias; participants conform to group consensus
Consumer Language Full verbatim consumer language — usable directly in creative briefs and positioning documents Checkbox selections and scaled ratings; no natural language captureTranscripts available but contaminated by group dynamics and moderator framing
Iteration Speed Test, refine, re-test in 1 week — multiple iteration cycles before production Sequential testing; each round adds 1–2 weeksSingle round typical; iteration requires new recruitment and scheduling
Knowledge Retention Searchable intelligence hub — compare concept performance across campaigns and markets over time Platform dashboard; limited cross-study comparisonStatic decks; starts from zero each project
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
FAQ

Common questions

Concept testing evaluates consumer reactions to a new product, packaging, messaging, or positioning before market launch. User Intuition runs concept tests as 20–30 minute quality AI-moderated interviews — uncovering the why behind consumer preferences through 5–7 levels of laddering, not just whether 68% liked it.

User Intuition Starter voice interviews cost $30 per quality interview with your own sample or $60 with the standard panel, with no monthly fee. Five voice interviews with your own sample cost $150; 50 cost $1,500, before any incentives you arrange. Specialty audiences are quoted separately. Professional has different rates and a subscription. See pricing and plan details.

User Intuition concept tests return results in 24 hours, with 200+ interviews in 24 hours and no cap on parallel conversations. Review the interview evidence as fieldwork completes, then use those findings to plan the next iteration.

User Intuition supports product concepts, packaging designs, messaging and positioning, ad creatives, brand and product names, pricing and value perception, go-to-market strategies, and feature combinations. Stimulus can be presented in five formats: static images, video clips, clickable Figma prototypes, live URLs (working websites, web apps, landing pages), and uploaded documents. Cursor prototypes, AI-generated mockups, and competitor screenshots are all valid stimulus types.

User Intuition has no hard limit on concepts per study, but we recommend testing fewer than 5 in a single interview to maintain depth. The platform is designed around going deep on each concept — participants don't just react with a quick rating, they walk through what they see, what concerns it raises, and what would change their mind. With more than 5 concepts, session length stretches past the attention window where laddering still produces signal. Studies with 6+ concepts usually move to a monadic design (each participant evaluates one concept; comparison happens across cohorts).

User Intuition supports unprompted-recall pricing tests, Van Westendorp-style price sensitivity, and conjoint-style trade-off testing in qualitative format. The AI moderator asks participants to react to pricing scenarios in natural conversation, captures the rationale behind their numbers, and probes on willingness-to-pay anchors. This is meaningfully more diagnostic than a pricing survey because the AI follows up on every reaction with 'why that number' and 'what would change your answer' — producing both the price point AND the underlying decision logic. Useful for new-product pricing, repricing, and bundle testing.

Every session is screened for AI-generated or coached answers through transcript analysis, and on video a real person has to be on screen. Your guide can open with comprehension probes before any opinion question, so a participant who skimmed the stimulus shows it in their own words. Conversations that miss the length, depth, and coverage bar aren't charged. This is the credibility bar that separates a real concept test from a click-through survey.

User Intuition lets researchers pin specific questions to required positions in the discussion guide — ask the demographic battery before any concept exposure, ask the purchase-intent question always last, ask the unaided-recall question after a fixed stimulus exposure window. Tell the moderator what you want when creating the study guide and User Intuition structures the guide that way. IRB-approved or stakeholder-locked guides go in as-is.

Focus groups explore reactions in a facilitated group setting. User Intuition uses one-on-one AI-moderated interviews so participants can explain their response without hearing other participants first. This reduces group influence, while structured prompts and follow-up questions keep the research focused. The right method depends on whether you need individual reactions, group discussion, or hands-on testing.

Surveys tell you what consumers think (68% like it). Zappi and Quantilope run fast quant concept screening, and Nielsen BASES forecasts late-stage volumetrics. User Intuition is the early-stage diagnostic layer: 20–30 minute conversations with 5–7 levels of laddering show why a concept wins or loses and what to change before it reaches a volumetric test.

Yes. Test an initial concept, refine it using the interview evidence, and run another study. Keep key questions consistent when comparing versions, and recruit the audience required by your methodology. Each round returns results in 24 hours.

No. Directors of innovation, product managers, and brand managers launch studies independently, and research teams and agencies run concept tests at scale on the same platform. User Intuition handles moderation, analysis, and reporting; your team keeps the guide, the interpretation, and the recommendation.

User Intuition's Customer Intelligence Hub stores every concept test as searchable institutional knowledge. Compare results across concepts, segments, and time periods. New team members onboard by reviewing historical research instead of starting from scratch. See Customer Intelligence Hub for full capabilities.

Yes. Static stimulus such as images, video, and packaging mockups runs inside the interview. For anything interactive, a participant walks through the real build while the AI moderator asks questions in the moment. That runs on interactive walkthroughs, and works with Figma prototypes or any live URL. On builds you control, such as Figma Make, Lovable, v0, Bolt, Vercel, and Netlify, a session snippet adds element-level detail.

Use in-person methods when consumers need to taste, smell or handle a physical product, when ideation needs a live co-creation workshop, or when a concept has to be observed in its real setting. AI-moderated interviews cover multi-concept tests, packaging, messaging and claims resonance, iterative test-and-refine rounds, and cross-market validation in 80+ languages.

Yes. For a monadic test, give each concept its own cell. For sequential monadic, run each concept order as its own parallel cell, so one cell sees A then B and 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 read each cell on its own or compare them directly. Required questions stay pinned in order, worded verbatim if you need it, and you decide how far the moderator probes. Respondents can come from the 4M+ panel, your customer list or panel provider, or straight from your own survey by link, and every transcript, recording and screener answer exports to CSV.
Get Started

Concept intelligence that
compounds with every test

Start with a concept and a research question. Review the interviews, understand the response, and use the evidence to refine the next version.

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 concept testing in action. We'll help you design a continuous testing program that builds institutional knowledge.

Your methodology · Your sample · No monthly fee on Starter

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