
Fix Your Shopping Experience Before Customers Abandon Their Carts
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Why Retail Companies Choose AI User Testing
Convert More Browsers Into Buyers
Cart abandonment metrics tell you the problem exists but not why it happens. TheySaid captures the exact moment shoppers hesitate, which shipping costs surprise them, and what missing information prevents them from completing purchases, so you can fix the friction that costs you revenue.


Keep Customers Coming Back With Experiences Worth Returning For
Shoppers who struggle to find products, navigate checkout, or manage returns rarely give you a second chance. TheySaid reveals the friction points that erode trust after the first visit, so you can build the kind of seamless experience that turns one-time buyers into loyal customers.
Retain Top Retail and E-Commerce Talent by Reducing Guesswork
Your merchandising, UX, and product teams do their best work when decisions are grounded in real customer behavior rather than internal debate. TheySaid gives everyone clear, evidence-based direction so teams stay focused on improvements that actually move the needle.


Build a Better Shopping Experience Before It Goes Live
New checkout flows, product pages, and navigation updates that skip real-user validation create expensive post-launch fixes during your highest-traffic periods. TheySaid lets you test and iterate on your shopping experience in days, not weeks, so issues get caught before they affect sales.
Validate Seasonal Campaigns Before Your Busiest Revenue Windows
Holiday shopping periods are too short to test, learn, and fix in real time. TheySaid lets you validate promotional landing pages, gift finder tools, and seasonal checkout flows with real shoppers before peak season starts, so you go in knowing your experience is ready.

Watch Real Shoppers Navigate Your Store
Every abandoned cart has a reason. TheySaid AI User Testing captures the exact moment shoppers got confused, frustrated, or lost trust before clicking away.
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How Retail Teams Use AI User Testing
Checkout Flow Optimization
Watch shoppers complete your checkout process from cart to confirmation. AI identifies which form fields confuse customers, where shipping costs surprise them, and what payment options they expect but don't see.
Product Page Testing
See how customers evaluate products before adding to cart. AI reveals whether your images show enough detail, if size guides make sense, and what questions remain unanswered that prevent purchases.
Search and Filter Validation
Understand whether customers can find what they're looking for. AI watches shoppers use search, apply filters, and browse categories to show you if your taxonomy matches how people actually shop.
Mobile Web Experience Testing
Test your mobile site with real users on their phones. AI records mobile browsing sessions showing whether checkout works on small screens, if product images load properly, and whether navigation makes sense when shoppers use their thumbs.
Returns and Customer Service Flow Testing
See where customers struggle with returns, exchanges, and support requests. AI captures confusion about return policies, difficulties printing labels, or frustration finding help when orders have problems.
Why Us?
What Makes TheySaid Different
Software moves fast. User expectations change faster. Traditional surveys take weeks to design, deploy, and analyze—by then your users have already churned or your competitors have shipped. Our tech survey platform gives you user insights at development speed, not research speed.
Most feedback tools treat software like any other product, missing the iterative nature of development cycles, rapid release schedules, and technical user bases. TheySaid speaks developer language and delivers insights that fit agile workflows, sprint planning, and continuous deployment practices.
User feedback drives product direction, feature prioritization, and market positioning decisions that make or break software success. Our AI uncovers the technical preferences, workflow requirements, and competitive factors that determine whether users adopt, abandon, or advocate for your software.

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