Idea Validation Study. Find out if your market exists before you build for it.

Test your concept with real consumers — problem severity, solution appeal, and purchase intent — before you commit to a product roadmap. 30M+ verified respondents across 127 countries. From $0.73/response.

30M+ panel · 127 countries · From $0.73/response

30M+ panel · 127 countries · From $0.73/response

What you learn from an idea validation study

What you learn from an idea validation study

What you learn from an idea validation study

Four questions a consumer study answers that a founder's gut won't:

Problem severity

How painful is the problem you're solving — and for how many people? Not "does this problem exist" but "how disruptive is it, day-to-day?" The scale between "mild annoyance" and "I'd pay to fix this now" is where most ideas live or die.

Solution appeal

Describe your concept in two to three sentences. What share of your target market finds it genuinely interesting vs. politely positive? The gap between those two answers matters more than the top-line score.

Purchase intent

The most important number to measure: the difference between "I'd probably use that" and "I'd actually pay for it." An appeal score without a purchase intent score is an expensive way to feel good about an idea that won't convert.

Competitive alternatives.

What do consumers currently use to solve the same problem? How satisfied are they with it? A concept competing against a painful status quo has a much easier path than one competing against something people are already happy with.

Who runs these studies

Who runs these studies

Who runs these studies

Who runs these studies

who need to know if the problem is real — and the solution is wanted — before they write a line of code or raise a round. Validation doesn't eliminate risk. It reduces the cost of being wrong.

Pre-product founders

evaluating a new feature or expansion idea before it goes onto the roadmap. The question isn't whether the engineering team can build it. It's whether the market will pay for it.

Product managers

at established brands testing new product concepts before they go to development. The cost of a 300-person validation study is a fraction of a failed launch.

Innovation teams

helping early-stage companies stress-test their hypotheses before the pitch deck goes out.

Startup advisors and consultants

How it works

BG

Set your audience.

Set your audience. Target by age, gender, location, and purchase behavior. A good screener filters for people who actually experience the problem you're solving — not the general population. For idea validation, you typically want category buyers or people who've recently experienced the pain point you're solving.

BG

Launch the study.

Use the Concept Testing template — pre-built with a problem-framing sequence, concept description section, appeal and uniqueness ratings, purchase intent scale, and price expectation questions. Screener and attention check included. Under 2 minutes from template to live.

BG

Collect responses.

Your panel order runs against 30M+ verified respondents across 127 countries. Cost is confirmed before you launch — enter your target sample size and see the total before committing.

BG

Read your results.

Per-question analytics, AI-generated pattern detection, and individual response browsing. Export raw data as CSV or XLSX. The purchase intent and appeal cross-tabs are usually the most useful output: if appeal is high and purchase intent is low, you likely have a nice-to-have rather than a must-have. That's the most common finding — and the most important one to catch early.

Why the question order matters: problem framing before concept reveal. If you show respondents your concept before establishing the problem context, they evaluate the idea in isolation — not relative to the real pain they experience. The template sequence sets this up correctly.

What's in the Concept Testing template

The template runs ~10 questions. Here's the core structure:


Screener"In the past 6 months, have you experienced [problem category]?" Auto-disqualifies respondents who don't belong in the study.


Problem severity"How much of a problem is [pain point] for you on a day-to-day basis?" 5-point scale: Not a problem at all / Minor inconvenience / Noticeable problem / Significant problem / Major pain point. Low scores here mean you're solving the wrong problem.


Current solution"How satisfied are you with how you currently handle [problem]?" 5-point scale. Low satisfaction means your concept has room to enter. High satisfaction means you're competing against something that already works.


Concept reveal + appeal — A brief description of your concept (2–3 sentences), followed by: "How appealing is this idea to you?" 5-point scale from Not at all appealing to Extremely appealing.


Uniqueness"How different is this from other solutions you're currently aware of?" 5-point scale. Low scores here mean your positioning is indistinct — which is a messaging problem, not necessarily a product problem.


Purchase intent"If this product were available at a price you considered reasonable, how likely would you be to purchase it?" 5-point scale. This is your headline metric.


Price expectations"What would you expect to pay for this?" Open-ended. Use this to reality-check your pricing model before you set it.


Attention check — Built in. Auto-disqualifies inattentive respondents before they reach your results.


Template available on the Pro plan ($79/month). 4 free templates available on the Free plan.

Esteban Corrales, Chief Analytics Officer of SegmentOS.

What's in the Concept Testing template

The template runs ~10 questions. Here's the core structure:


Screener"In the past 6 months, have you experienced [problem category]?" Auto-disqualifies respondents who don't belong in the study.


Problem severity"How much of a problem is [pain point] for you on a day-to-day basis?" 5-point scale: Not a problem at all / Minor inconvenience / Noticeable problem / Significant problem / Major pain point. Low scores here mean you're solving the wrong problem.


Current solution"How satisfied are you with how you currently handle [problem]?" 5-point scale. Low satisfaction means your concept has room to enter. High satisfaction means you're competing against something that already works.


Concept reveal + appeal — A brief description of your concept (2–3 sentences), followed by: "How appealing is this idea to you?" 5-point scale from Not at all appealing to Extremely appealing.


Uniqueness"How different is this from other solutions you're currently aware of?" 5-point scale. Low scores here mean your positioning is indistinct — which is a messaging problem, not necessarily a product problem.


Purchase intent"If this product were available at a price you considered reasonable, how likely would you be to purchase it?" 5-point scale. This is your headline metric.


Price expectations"What would you expect to pay for this?" Open-ended. Use this to reality-check your pricing model before you set it.


Attention check — Built in. Auto-disqualifies inattentive respondents before they reach your results.


Template available on the Pro plan ($79/month). 4 free templates available on the Free plan.

What's in the Concept Testing template

The template runs ~10 questions. Here's the core structure:


Screener"In the past 6 months, have you experienced [problem category]?" Auto-disqualifies respondents who don't belong in the study.


Problem severity"How much of a problem is [pain point] for you on a day-to-day basis?" 5-point scale: Not a problem at all / Minor inconvenience / Noticeable problem / Significant problem / Major pain point. Low scores here mean you're solving the wrong problem.


Current solution"How satisfied are you with how you currently handle [problem]?" 5-point scale. Low satisfaction means your concept has room to enter. High satisfaction means you're competing against something that already works.


Concept reveal + appeal — A brief description of your concept (2–3 sentences), followed by: "How appealing is this idea to you?" 5-point scale from Not at all appealing to Extremely appealing.


Uniqueness"How different is this from other solutions you're currently aware of?" 5-point scale. Low scores here mean your positioning is indistinct — which is a messaging problem, not necessarily a product problem.


Purchase intent"If this product were available at a price you considered reasonable, how likely would you be to purchase it?" 5-point scale. This is your headline metric.


Price expectations"What would you expect to pay for this?" Open-ended. Use this to reality-check your pricing model before you set it.


Attention check — Built in. Auto-disqualifies inattentive respondents before they reach your results.


Template available on the Pro plan ($79/month). 4 free templates available on the Free plan.

Esteban Corrales, Chief Analytics Officer of SegmentOS.

Simple pricing. No surprise invoices.

One subscription. Survey builder, panel access, and research-grade methodology all included.

One subscription. Survey builder, panel access, and research-grade methodology all included.

Free

$0

5 surveys (lifetime)

500 responses/month

4 templates

Standard question types

Basic analytics

Restricted question library access

/month

$

29

Unlimited surveys

All 17 templates

All question types

Multi-language (27 languages)

Scoring & quotas

Remove branding

Full CSV/XLSX export

Full access to our question library

Pro

/month

$

79

Everything in Premium

Audience panel access

White-label

Priority support

Panel Responses from $0.73

B2C consumer responses from $0.73/response. B2B professional responses priced by targeting criteria. Exact cost shown before you launch — always.


No annual contract required. Cancel anytime.

Free

$0

5 surveys (lifetime)

500 responses/month

4 templates

Standard question types

Basic analytics

Restricted question library access

/month

$

29

Unlimited surveys

All 17 templates

All question types

Multi-language (27 languages)

Scoring & quotas

Remove branding

Full CSV/XLSX export

Full access to our question library

Pro

/month

$

79

Everything in Premium

Audience panel access

White-label

Priority support

Panel Responses from $0.73

B2C consumer responses from $0.73/response. B2B professional responses priced by targeting criteria. Exact cost shown before you launch — always.


No annual contract required. Cancel anytime.

Free

$0

5 surveys (lifetime)

500 responses/month

4 templates

Standard question types

Basic analytics

Restricted question library access

/month

$

29

Unlimited surveys

All 17 templates

All question types

Multi-language (27 languages)

Scoring & quotas

Remove branding

Full CSV/XLSX export

Full access to our question library

Pro

/month

$

79

Everything in Premium

Audience panel access

White-label

Priority support

Panel Responses from $0.73

B2C consumer responses from $0.73/response. B2B professional responses priced by targeting criteria. Exact cost shown before you launch — always.


No annual contract required. Cancel anytime.

Free

$0

5 surveys (lifetime)

500 responses/month

4 templates

Standard question types

Basic analytics

Restricted question library access

/month

$

29

Unlimited surveys

All 17 templates

All question types

Multi-language (27 languages)

Scoring & quotas

Remove branding

Full CSV/XLSX export

Full access to our question library

Pro

/month

$

79

Everything in Premium

Audience panel access

White-label

Priority support

Panel Responses from $0.73

B2C consumer responses from $0.73/response. B2B professional responses priced by targeting criteria. Exact cost shown before you launch — always.


No annual contract required. Cancel anytime.

Common questions

What's the difference between idea validation and concept testing?

Idea validation is the goal — finding out if people want what you're building. Concept testing is the methodology used to get there: you present a structured description of your concept and measure appeal, uniqueness, and purchase intent. When you run an idea validation study on SegmentOS, you're running a concept test. The two terms describe the same study from different angles.

What purchase intent score counts as a green light?

There's no universal threshold, but a common benchmark for early-stage concept testing: "very likely" or "extremely likely" to purchase at 20–25% or more of your target market is a meaningful positive signal. Appeal alone doesn't tell you enough — focus on purchase intent, and especially on the gap between "appealing" and "likely to buy." A large gap between those two scores usually means nice-to-have, not must-have.

How many respondents do I need?

For broad B2C concepts, 300–500 respondents gives you statistically reliable results at a 95% confidence level. For narrow niches or B2B segments, 100–200 is often sufficient — but you'll need tight screeners to make sure you're reaching the right people. Use our free sample size calculator to get the exact number for your audience.

Can I run this study before the product exists?

Yes — that's the point. You describe the concept in two to three sentences and measure consumer response. You don't need a prototype, a landing page, or an MVP. A clear description of the problem and the proposed solution is enough to get meaningful signal.

What if my results are negative?

Negative results at this stage are the best possible outcome. They cost $200–$400 in panel time. Finding out the market doesn't want what you're building after six months of development costs significantly more. If purchase intent is low, the data will tell you why: low appeal means the concept doesn't resonate; high appeal with low purchase intent means they don't see it as a must-have. Either answer points you toward what to change.

What's an idea validation framework?

A validation framework is the sequence of questions you ask — in order — to determine whether a business idea has real market demand. The core sequence: (1) does the problem exist and is it painful? (2) does your concept address it in a way that's appealing and distinct? (3) would they actually pay for it? (4) at what price? Running these questions in order, with a qualified respondent sample, is what turns a hunch into a signal.