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Product concept testing
Validate a new feature or product idea before you commit engineering. The AI walks participants through the concept, captures the reaction, and probes the objections that would actually block adoption.
Concept Testing Platform
Concept testing software, moderated by AI.
Diaform is a concept testing platform that runs AI-moderated interviews against any concept — product, creative, messaging, or pricing. Share a link on Monday, get structured objections, quotes, sentiment, and buying signals back by Friday.
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Conversations powered
1,500+
Average setup time
15 min
Average team rating
4.9 / 5
Trusted by product, research, and insights teams running continuous discovery.
Overview
What concept testing actually needs
Concept testing is the practice of putting a product, creative, or messaging idea in front of target customers before you commit engineering, media spend, or positioning. Done well, it surfaces the real objections — the ones that kill launches. Done badly (most five-point Likert scales), it just tells you which variant is less offensive to the median respondent.
Diaform is built for the first kind. You share a concept — a description or an image — and the AI moderator runs qualitative reactions with customers. It probes why the concept resonates, what feels off, who it's actually for, and what would need to be true to buy.
The usual concept testing methods leave gaps
Most teams pick one of three imperfect options. Each one misses something.
01The problem
Multiple-choice surveys
Five-point scales tell you a concept is a 3.7 out of 5. They don't tell you the pricing anchor is wrong, the name feels off, or the target audience skipped the second half. Depth is missing.
02The problem
Focus groups and moderated sessions
The depth is real — but a 2-week cycle for 8 participants is slow, expensive, and groupthink-prone. You get rich data, just not in time for the ship decision.
03The problem
Panel provider quick turns
Fast, but you're buying demographics, not motivation. The open-text answers are shallow because there's no one asking the follow-up.
Diaform: qualitative concept testing at quant speed
A concept testing platform that gives you real objections, not just ratings.
Feature · 01
Run reactions to any concept format
Drop in a written description, an image, a hero mockup, a demo video, a Figma link, or a landing page. The AI walks each participant through it and captures their real reactions.
Feature · 02
Probing that surfaces objections
When someone says the concept is 'interesting', the AI asks what caught their eye, what felt unclear, and what would need to be true for them to pay for it. No leading, no stopping at the surface.
Feature · 03
Voice + text for natural responses
Participants speak or type in-browser. Voice responses tend to be longer and more honest — especially for reactions to creative.
Feature · 04
Sentiment, themes, and opposing views
Synthesis doesn't just average scores. It clusters reactions, surfaces the dissenting view, and pulls the strongest quotes for each camp.
Feature · 05
Segment by audience
Tag participants by segment — ICP vs. non-ICP, current customer vs. prospect — and compare reactions across groups in one view.
Feature · 06
Export the brief, not the mess
Every study produces a shareable brief your PM can walk into a steering meeting with. No more pasting quotes into slides at 11pm.
Concept testing, moderated by AI
Watch the AI run a concept reaction — probing price sensitivity, objections, and the real reason someone would (or wouldn't) buy.
Lumen Home Goods
Interview Questions
First reaction to the concept
Would you buy it?
What feels off
Progress0 / 3
You define the base questions.
Diaform handles follow-ups automatically.
How an AI-moderated concept test runs
From concept to synthesized brief in five steps.
- 1
Write the concept + research goals
Describe what you're testing (a feature, a positioning, a creative) and the questions you want answered. The AI uses this as its study guide.
- 2
Add supporting assets
Upload a mockup image, link a video, drop a Figma preview, or paste a landing page. The AI references them inside the conversation.
- 3
Share the link with your audience
Send to a customer list, a beta group, a panel, or drop it in-app. Every participant gets a private 1:1 session.
- 4
The AI moderates each reaction
It runs structured probing — clarity, fit, objections, intent. It listens for surprise, confusion, and enthusiasm, and digs into each one.
- 5
Get a synthesis brief
By the time the study closes, you have a brief: top themes, objections, unexpected reactions, and the quotes worth sharing.
Types of concept testing you can run
The same platform covers every flavor of concept testing in new product development and marketing.
02
Creative and ad concept testing
Test ad concepts, campaign hooks, or hero imagery before you buy media. Get genuine reactions — not 'yes I'd click' — so you know which creative earns attention in market.
03
Messaging and positioning testing
Run your positioning statement past the ICP. The AI probes whether it's clear, who they think it's for, and how it compares to the alternatives they already use.
04
Pricing concept testing
Put pricing tiers or a new plan structure in front of real prospects. The AI captures reactions — too cheap to be real, anchor off, missing the middle tier — before you publish.
05
Naming and brand concept testing
Run two or three names past the target audience. The AI captures associations, recall, and reactions in open conversation — not a tick-box.
06
Feature prioritization research
Share a short roadmap of potential features and let the AI probe what each customer actually wants first, why, and what they'd trade away.
Static concept testing surveys vs. AI-moderated concept tests
The same question, but the answers carry very different weight.
Without Diaform
Traditional concept testing survey
- 5-point scales without context
- Open-text answers are one-line and shallow
- No way to probe the interesting response
- Synthesis is you, on a Tuesday night
- Qualitative depth requires a separate study
With Diaform
Diaform concept testing
- Structured probes capture real objections
- AI follow-ups turn 'it's fine' into 'here's why'
- Every surprising answer gets explored in real time
- Synthesis is written for you while the study runs
- Qualitative depth and volume in one study
FAQ
Frequently asked questions
Q
What is concept testing?
Concept testing is the practice of putting a product, creative, messaging, or pricing concept in front of target customers before committing to it. The goal is to surface reactions, objections, and fit signals early enough to change the concept — or kill it — before it costs real money.
Q
What are the main types of concept testing?
The common types are product concept testing (a feature or product idea), creative concept testing (ads, hero imagery), messaging testing (positioning, taglines), pricing testing (tiers, willingness-to-pay), naming testing, and feature prioritization. Concept tests can be qualitative (rich reactions) or quantitative (scale scores across a panel).
Q
How does AI-moderated concept testing compare to focus groups?
Focus groups give you rich, in-the-room reactions but suffer from groupthink, scale poorly, and take weeks to organize. AI-moderated concept tests run one-on-one (no groupthink), run in parallel, and produce structured output at the end. Most teams now use AI-moderated concept tests for weekly decisions and reserve focus groups for high-stakes campaigns.
Q
How many participants do I need for a concept test?
For qualitative concept testing, 15–30 well-targeted participants is usually enough to reach theme saturation — the point where new interviews stop surfacing new reactions. For quantitative benchmarks, you'd want 100+. Teams commonly run both: a fast qualitative round with 20 customers, then a larger quant follow-up for the specific variants that survived.
Q
Can I test concepts that are just an image, or do I need a full prototype?
No prototype needed. Diaform works for raw concept descriptions, hero images, short videos, landing pages, Figma links, or fully interactive prototypes. The AI walks each participant through whatever you share and runs the reaction conversation around it.
Q
What's the difference between qualitative and quantitative concept testing?
Quantitative concept testing scores a concept with a panel ('rate your interest 1–5, would you pay $X'). It tells you which variant wins on average. Qualitative concept testing explores the why — what landed, what was confusing, what they'd change. You usually need both. AI moderation makes the qualitative side fast enough that you don't have to skip it.
Q
How fast can I launch a concept test?
Setup takes 10–20 minutes: define the concept, upload assets, write the research goals. Once you share the link, participants can start immediately. Most teams run a study Monday through Thursday and have the synthesized brief in hand Friday morning.
Q
Can I run concept testing globally?
Yes. Diaform runs interviews in 30+ languages natively — matching tone and follow-up style — while producing session summaries in English so your team can synthesize globally from one dashboard.
Explore more
Dive into the other ways Diaform can power your research.
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Run continuous discovery interviews, JTBD research, and product-market fit studies with the same AI moderator.
AI market research
Understand demand, positioning, and buying signals with AI-conducted interviews against your target market.
Testimonial collection
AI-led interviews that draw out the story behind a purchase — and extract the publishable quote.
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