Validate New Ideas With Real People Before You Commit to Building Them

Don't build what you assume. Build what real users confirm. TheySaid's product validation testing platform puts your concepts in front of real people and tells you what is worth building before you commit the budget.

Most Product Ideas Get Built Before Anyone Outside the Team Has Reacted to Them

Internal enthusiasm is a poor substitute for external validation. Teams fall in love with concepts, prototypes get built on assumptions, and by the time real users see the product, the budget to change direction has already been spent.

Traditional product discovery tools were not built for fast iteration. Concept testing through focus groups takes weeks. Survey-based validation captures stated preference, not genuine behavior. By the time findings arrive, the team has moved on.

Product validation testing with TheySaid changes the timeline. Share a concept, prototype, or early idea with real users, let AI moderate the reaction, and get findings fast enough to inform your next decision rather than your next retrospective.

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How TheySaid Validates Ideas Before You Commit to Building Them

Test Concepts Before a Single Line of Code Is Written

Share a concept description, mockup, or rough prototype with real users and AI moderates the reaction. Concept testing tools that surface whether users understand the idea, whether the problem resonates, and whether they would change their behavior to use it give you the signal you need before committing to development.

Hear Whether the Problem Is Real Before You Build the Solution

The most expensive product mistake is solving a problem that was not painful enough to change behavior. AI conducts open-ended discovery conversations that reveal how acute the problem is, how users currently work around it, and what a solution would have to do to be worth switching to.

Validate Product Ideas Across the Segments That Matter

The same idea can land very differently across different audiences. Validate product ideas with multiple segments using TheySaid's panel targeting and compare how the concept resonates across demographics, job roles, and use cases before deciding which segment to build for first.

Iterate on Concepts Quickly Based on Real Feedback

Product feedback tools that deliver findings in hours rather than weeks let you refine concepts through multiple rounds of validation in the time traditional research takes to complete one. Test a direction, apply what you learned, and test again while the idea is still easy to change.

Recruit the Exact Users Your Concept Was Built For

Reach your own customers through email or direct links, or recruit specific profiles from TheySaid's panel of 5M+ participants with demographic and behavioral targeting. TheySaid's Synthetic Panel (coming soon) gives you fast preliminary signal before committing to full user recruitment.

Move From Idea to Evidence in Hours, Not Weeks

Launch a validation study in minutes. AI moderates every session, analyzes responses as they come in, and surfaces findings automatically. Customer discovery tools that deliver this kind of turnaround keep your innovation process moving at the pace your team actually works.

Everything You Need to Validate Ideas Before You Build Them

AI-Moderated Concept Testing

Share any browser-accessible concept, mockup, or prototype and AI guides participants through your research questions, probing based on what they say. Every session surfaces the honest reaction that internal reviews rarely produce.

Voice-Enabled Responses

Participants speak their reactions rather than type them. Voice captures the enthusiasm, hesitation, and unprompted associations that reveal genuine conviction or polite indifference. AI transcribes every response in real time.

Open-Ended Discovery Conversations

User insight tools that only capture structured responses miss the needs users did not know how to articulate. AI follows the participant's own reasoning, letting unexpected insights surface naturally rather than routing everyone through a fixed script.

Concept Comparison Studies

Run separate test plans for competing ideas and compare how real users respond to each one. AI moderation is consistent across every session, making findings directly comparable so you choose directions based on evidence rather than instinct.

Targeted Recruitment

Reach your existing users through email or in-app messages, or use TheySaid's panel with demographic, role, and behavioral targeting. Use the Synthetic Panel (coming soon) for fast early-stage signal before committing to full participant recruitment.

Building on Assumptions vs. Validating Before You Commit

Without TheySaid

Internal Enthusiasm Replaces External Validation

Teams build for ideas they find compelling without confirming real users share the conviction. By the time they discover the problem was not painful enough, the budget is already spent.

Concept Testing Is Too Slow to Be Useful

Focus groups take weeks and produce findings that often arrive after the decision has already been made. Research becomes a post-mortem rather than a guide.

Survey Scores Without the Reasoning

Rating scales tell you which concept scored higher. They do not tell you why, what specifically resonated, or how to improve the concept that did not win.

No Way to Test Across Different Audiences

Most teams validate concepts with whoever is available rather than the segment the product was built for. Findings from the wrong audience produce the wrong direction.

Iteration Stops at One Round

When validation takes weeks, teams rarely test more than once. A concept that could have been refined through multiple rounds of feedback ships in its first form.

With TheySaid

Real Reactions Before Real Commitments

Product validation testing surfaces how real users respond to concepts before development starts. Catch direction problems while changes cost hours, not sprints.

Discovery That Starts With the Problem

Voice of customer tools that surface whether the problem is genuinely painful give you the foundation that makes everything built on top of it more likely to succeed.

The Reasoning Behind the Reaction

AI follow-up questions reveal why users responded the way they did, what specifically resonated, and what would make a concept more compelling. You get direction, not just a score.

Validation Across the Right Segments

Test the same concept across multiple audience profiles and identify where the idea lands strongest before deciding where to focus your development investment.

Fast Enough to Iterate

Product discovery software that delivers findings in hours makes multiple rounds of concept testing practical within a single sprint, not a single quarter.

See What a Product Validation Study Looks Like

See what customers say about our AI user testing platform

Alex Farmer
"Implementing TheySaid has led to a 5-10% increase in qualified leads from our existing customers in just a few months while reducing churn. The results speak for themselves."
Alex Farmer
Chief Revenue Officer @ Nezasa
Maggie C.
"TheySaid's AI Surveys helped us step up our insight gathering game. It's smarter and more engaging for customers."
Maggie C.
VP, Product Design @ ClickUp
Brook P.
"How did TheySaid AI come up with such great question recommendations? These are questions that our teams really want to know and discussed internally a lot. I am impressed!"
Brook P.
VP, Marketing @ DX
Srikrishnan Ganesan
"Integrating TheySaid has been a game-changer. We've seen a 5-10% decrease in customer churn with an increase in upsell opportunities since its implementation."
Srikrishnan Ganesan
Co-Founder & CEO @ Rocketlane
Danny L.
"Really easy to use and I think this might be one of the best ways to engage with your customers! Platform will really boost your customer engagement."
Danny L.
Co-Founder

From Concept to Launch: User Testing Use Cases

Learn how product teams use TheySaid's usability testing use cases and UX research use cases to validate prototypes, optimize features, test pricing strategies, and gather user feedback before shipping to customers.

Learn how product teams use TheySaid's usability testing use cases and UX research use cases to validate prototypes, optimize features, test pricing strategies, and gather user feedback before shipping to customers.

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FAQs

What types of ideas can I test with TheySaid?
Anything browser-accessible: written concept descriptions, landing pages, mockups, Figma prototypes, and early builds. If you can share it via a link, TheySaid can test how real users respond to it.
How is this different from a standard concept survey?
Surveys capture ratings and predefined selections. TheySaid's AI conducts open-ended conversations that follow the participant's own reasoning, surfacing the motivations and hesitations behind every response rather than just the score.
How quickly can I get results from a validation study?
Most teams see initial findings within 24 hours. AI analyzes sessions as they complete so patterns emerge in real time rather than after all participants have finished.
Can I compare multiple concepts in the same study?
Yes. Set up separate test plans for each concept and run them with the same or different participant groups. Consistent AI moderation makes findings directly comparable across directions.
How do I recruit users who match my target audience?
Recruit from your own customer base through email or direct links, or use TheySaid's panel with demographic, behavioral, and role-based targeting to reach the specific profile your concept was designed for.
What is the Synthetic Panel and how does it help with product validation?
The Synthetic Panel is a coming soon feature that runs AI testers through your concepts immediately, without recruiting real participants. Use it to eliminate weak directions early before investing research resources in the concepts worth testing more thoroughly.
How many participants do I need for meaningful concept validation?
For early-stage signal on whether an idea resonates, 10 to 15 sessions often surface the most significant patterns. For deeper validation comparing multiple concepts or segments, 15 to 20 sessions per concept gives you enough to make confident decisions.
How do I apply validation findings to the next iteration?
TheySaid surfaces the specific moments where concepts resonated or fell flat, the language users reached for naturally, and the questions the concept left unanswered. Use these findings to address the gaps in your next iteration before testing again.
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Build what users confirm, not what teams assume.