Know if your idea has legs — panel results in 24 hours, not 4 months
Stop building on assumptions. AI-moderated depth interviews with real potential customers from our 4M+ vetted panel return in 24 hours and probe 5-7 levels deep into demand and willingness to pay.
From individual interviews to a clearer picture.
Several target segments confirmed acute pain around the core workflow — with the strongest demand signal concentrated in one segment worth building for first...
Trusted by teams at
An AI idea validation platform is software that puts a business or product idea in front of real potential customers, fast, so founders learn whether the problem exists before they build. User Intuition is idea validation software powered by AI-moderated interviews, probing demand, willingness to pay, current workarounds, and where the idea lands — with panel validation in 24 hours. Across 890 AI-moderated idea validation interviews with early-stage founders and product teams, User Intuition found 68 percent had the core assumption about their target customer's problem wrong — yet 41 percent found stronger demand in an adjacent segment they hadn't considered. Pivot signal like that emerges only when buyers describe the problem in their own words, not from survey checkboxes. A User Intuition validation study starts at $150, returns panel demand signal in 24 hours, and is backed by 4.9/5 on G2 and 5/5 on Capterra. The output is practical: demand evidence, segment-fit signals, willingness-to-pay ranges, and pivot prompts for founders, product teams, and venture-backed early-stage operators.
What is idea validation with User Intuition?
Idea validation with User Intuition tests a new idea with real potential customers in 20–30 minute AI-moderated interviews that ladder 5–7 levels into whether the problem is real, how they solve it today and what they'd pay. Run 200+ panel interviews in 24 hours from a 4M+ vetted panel across 58 countries, or bring your own sample, before anything gets built.
Who is idea validation with User Intuition for?
Research agencies and in-house innovation and product teams screening new ideas before build, and founders who need customer evidence before they build or raise.
How does AI-moderated idea validation work?
Describe the idea or show a mockup. The AI moderator interviews screened potential customers in voice, video or chat with neutral, adaptive questions, and every finding links back to the recording.
What do you get from an idea validation study?
Demand signal and willingness-to-pay ranges by segment, themes with verbatims, an editable presentation, and every transcript and recording.
Why does idea validation so often confirm what you already believe?
42% of startups fail because there's no market need. In startups and enterprise innovation teams alike, most ideas get validated with signals the team controls, or not at all. Here's what innovation researchers and founders tell us, and how User Intuition closes each gap.
- Sound familiar?
A proper qual project costs more than the prototype, so we skip validation and build on gut feel.
Idea validation at a prototype budget
Validate with real potential customers at a per-interview cost and pay only for interviews that pass, so evidence comes before the build instead of after.
- Sound familiar?
We don't have customers yet. Every product decision is our guess at what the market wants.
Interview the customers you don't have yet
Recruit screened potential customers, including competitor users, from a 4M+ vetted panel across 58 countries, so decisions rest on what the market says.
- Sound familiar?
The AI idea validator gave us an 8 out of 10. There wasn't a single human behind the score.
Real humans, not simulated opinions
Every interview is a screened, real potential customer probed 5–7 levels deep, not a language model generating confident opinions with zero people behind them.
- Sound familiar?
The people who pitched the idea ran the customer interviews. Every answer sounded like the one we wanted.
Neutral questions, no confirmation bias
The AI moderator asks every potential customer the same neutral, non-leading questions and has no stake in the idea, so the signal reflects real demand, not the answer its champion hoped to hear.
- Sound familiar?
Investors ask if we've talked to customers. All we have is a landing-page test and conviction.
Investor-ready customer evidence
Every study returns verbatim quotes and willingness-to-pay ranges tied to recordings, so you show depth-interview proof, not survey checkboxes.
- Sound familiar?
We have a dozen ideas and budget to research two. The rest get funded or killed on opinion.
Panel-tested problem-solution fit for every idea in 24 hours
Run a parallel validation study for each idea at a per-interview cost, testing the problem, the solution and pricing across segments with 200+ panel interviews in 24 hours, so which idea advances, or where to pivot, runs on evidence.
- 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.
From hypothesis to customer verdict
Define Your Hypothesis
Tell us what you're testing — the problem you believe exists, the solution you're considering, and who you think needs it. Bring your own guide, or our AI builds the interview guide and screener to surface the exact demand signals that inform your go/no-go decision.
AI Interviews Real Customers
Each potential customer completes a 20–30 minute AI-moderated voice interview exploring whether the problem exists for them, how they currently solve it, what they'd pay for a better solution, and how urgently they need it.
Get Your Go/No-Go Signal
Receive a structured validation report with demand scores, segment breakdowns, willingness-to-pay ranges, and verbatim customer quotes — so you know whether to build, pivot, or kill the idea with confidence.
Build Compounding Validation Intelligence
Every validation study feeds your searchable intelligence hub. When you pivot or explore adjacent ideas, you can compare demand signals across concepts and segments — so each round of validation makes the next one sharper.
Real-world applications
for Idea Validation
Pre-Build Demand Validation
Interview potential customers before writing code to confirm the problem exists, is painful enough to pay to solve, and isn't already solved.
Pivot Decision Research
When traction stalls, interview target customers to diagnose whether the problem, solution, audience, or pricing needs to change.
Product-Market Fit Measurement
Interview both active users and churned users to measure whether you've reached PMF or identify the gap between current product and market demand.
Investor Pitch Evidence
Build a customer evidence deck with real interview quotes, demand metrics, and segment analysis that VCs can't dismiss as survey data.
Willingness-to-Pay Research
Interview potential customers about their current spending, price sensitivity, and the maximum they'd pay for your solution — before setting your pricing.
Competitive Gap Analysis
Interview users of competitor products to identify unmet needs, frustrations, and switching triggers you can build your positioning around.
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.
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.
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.
Respondents you can stand behind
A 4M+ vetted panel across 58 countries: our team reviews a video identity interview with every panelist, every voice interview is screened for AI-generated or coached answers, and panelists are tracked across studies. Or bring your own customers, panel provider or survey respondents. Either way, you can watch any interview live.
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.
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.
- Isolated workspaces
- Confidential stimulus
- Never used to train AI models
- GDPR & CCPA compliant
- SOC 2 Type II compliant
- Security →
Every interview is checked before you pay for it
Interview checks run on every study, including studies with your own customers. Panel checks apply on top whenever we recruit for you.
Every interview
- Laddering 5–7 levels deep, which is hard to fake
- Watch and steer any interview live
- AI checks on every voice and video interview
- Scored on length, depth and coverage; Poor or Fair is never billed
- Our team listens to every panelist call, and a sample of yours
- Every recording and transcript yours to review and reject
Why customer interviews beat DIY tests and simulated auto-validators
| Dimension | User Intuition | DIY Methods (Landing Pages / Reddit / Surveys) | AI Auto-Validators (IdeaProof / ValidatorAI) |
|---|---|---|---|
| Depth of Signal | 5-7 levels of probing into pain, demand, willingness to pay, and switching triggers — real human responses | Binary metrics — clicks, sign-ups, upvotes — with zero insight into why | AI-generated market analysis based on language model training data, not actual consumers |
| Speed | 24 hours from panel study launch to structured findings | Days to weeks depending on method — landing page tests need traffic, cold emails need responses | Minutes — instant reports, but with simulated data |
| Cost | From $150 per study (5 interviews at $30 each, using your own audience) | $0-$500 in tools and ads, but months of founder time | Cheap per report — but no real people |
| Real Humans | 100% real, screened humans from a 4M+ vetted panel | Real but self-selected — friends, followers, Reddit users who aren't your ICP | Zero real humans — AI simulates market responses |
| Bias Control | AI moderator asks neutral, non-leading questions, so the answer isn't the one you hoped to hear | Maximum bias — you design the questions, pick the audience, interpret the results | No bias from participants, but inherits training data biases |
| Segment Analysis | Break down demand by persona, use case, geography, and price sensitivity | Limited — whoever responds is your sample, no segmentation control | Simulated segments based on demographic models, not real behavior |
| Verbatim Customer Language | Full verbatim quotes usable in pitch decks, landing pages, and investor presentations | Scattered feedback across channels — hard to synthesize | AI-generated language, not real customer words |
| Iteration | Test, refine hypothesis, re-test in 1 week cycles | Each iteration takes weeks — new landing page, new traffic, new analysis | Instant re-runs but still simulated — iterating on fake data |
| Knowledge Retention | Searchable intelligence hub — compare demand signals across pivots over time | Spreadsheets and Notion docs that die when you pivot | PDF reports with no cross-study comparison |
Hear the interviews. See the presentation.
Explore calls and a sample presentation from our 43-participant Walmart shopper study.
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.”
What was making you want those specific things right then? Beyond just being out? Was it about being able to make certain meals or something else?
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.
Phone replacement, unplanned and urgent
“It made me feel so safe so relieved, and it brightened my day.”
Sounds like you knew exactly what you want. A Google Pixel 6 Pro. What was it about that phone that made it the right choice for you, especially in that moment?
Yeah. Thank you. So the the the phone had a lot of features. I I heard friends were talking about this phone. So in terms of the camera setting, it can take pictures and refine them into good quality. It has its own internal scanner, like I don't need to download other apps to scan to do scans. And of course, it has high quality for recording, which has been helping me in my meetings. In the office. So it's really amazing, and I love festival the quality of the phone in terms of the camera, because the previous phone I had was a Samsung. And the quality was really frustrating. And it had it has a very good processor speed as well. It's very fast. It's very efficient, and I like it. I like it. I'm enjoying the features.
Sample presentation
Preview three slides, or download the full 15-slide presentation.
Bring your own sample
$30 per quality voice interview
Use our 4M+ vetted panel
$60 per quality voice interview
What researchers say
"User Intuition gave us something we'd never had before — the ability to have hundreds of deep conversations with our consumers in days, not months, and actually use those insights to make decisions in real time. That's not incremental improvement. That's a fundamentally different way of building brands."
Eric O., Chief Commercial Officer, Turning Point Brands "We started using User Intuition a few months ago when we realized customers didn't need the automation engine we had in mind. A few interviews in, we realized they needed to see where an approval was stuck. Three people said that without being led there. Most had started with some version of "sounds useful," but the follow-up questions got into when they would use it, what they did today, and who else had to sign off."
Common questions
Stop guessing.
Start knowing.
With panel results in 24 hours, know whether your idea has real demand — with the evidence to prove it to investors, co-founders, and yourself.
Start with an editable research brief. Review your plan and discussion guide before inviting participants.
See idea validation in action. We'll help you design a validation study for your specific hypothesis.
Your methodology · Your sample · No monthly fee on Starter
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