User Testing
How to Make Money Testing Websites and Apps in 2026
by
Lihong
|
Apr 29, 2026
Every Product Challenge Has a User Testing Solution
From prototype validation to feature testing, TheySaid's AI user testing use cases reveal what users actually think through recorded sessions that show you exactly where experiences break down and why features succeed or fail.
Trusted by 320K+ organizations worldwide
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.
Optimize Utility
Watch users attempt core tasks in your product to identify friction points that prevent feature adoption. AI records sessions showing where workflows break down, which features confuse users, and what improvements would increase daily usage.
Test Prototype
Validate designs before development starts by testing Figma prototypes and wireframes with real users. AI captures confusion, missing functionality, and navigation problems while ideas are still cheap to change.
Pricing and Packaging
Understand how users evaluate different pricing tiers and feature bundles. AI asks about perceived value, captures hesitation about costs, and reveals which plan structures make purchasing decisions easier or harder.
Vibe Feedback
Go beyond usability metrics to understand how users feel about your product. AI asks follow-ups about trust, delight, frustration, and confidence while recording voice responses to reveal emotional reactions that typical surveys miss.
See what customers say about our AI user testing platform
"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."
"TheySaid's AI Surveys helped us step up our insight gathering game. It's smarter and more engaging for customers."
"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!"
"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."
"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."
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.
See More
FAQs
How does AI user testing work across different product challenges?
TheySaid's AI adapts to any testing goal by recording screens and asking relevant follow-ups based on what you need to learn. Whether testing prototypes, optimizing features, or gathering emotional feedback, the AI probes deeper on confusion and captures specific issues you need to fix.
Which user testing use case should we start with?
Start where product decisions feel uncertain. If you're about to build something new, test prototypes first. If feature adoption is low, run utility optimization tests. If pricing feels wrong, validate packaging. TheySaid works for any use case, so begin with your biggest product question.
Can we use AI user testing for both early prototypes and live products?
Yes. Test Figma prototypes for product discovery, validate staging environments before launch, or have users navigate your live production site for continuous testing. TheySaid works with any URL you provide, letting you test at every product stage from concept to production.
How quickly can we get insights from user testing?
Most teams see initial patterns within 24-48 hours. AI analyzes sessions as they complete, surfacing themes about friction points, confusion, and user preferences so you can make decisions quickly rather than waiting weeks for research reports.
TheySaid User testing recommends questions, delivers via your existing channels, engages your audience,and summarizes results through AI user testing, surveys, and interviews.
.svg)
