


Most Physical Experience Feedback Arrives Too Late to Act On
Customer satisfaction scores tell you how things went last quarter. Online reviews tell you how a handful of frustrated customers felt after leaving. Neither gives you the specific detail you need to understand what actually happened during the visit or what needs to change before the next one.
Traditional feedback collection is fragmented by design. Comment cards go unread. Post-visit emails get ignored. Mystery shopper programs are expensive and infrequent. By the time any of it reaches the people who can act on it, the moment has passed and the pattern has already repeated itself dozens of times.
Customer experience testing with TheySaid changes the collection point. Reach customers through QR codes, post-visit email sequences, or in-app prompts right after an interaction. AI conducts real conversations that go deeper than any rating scale, surfacing the specific friction and unmet expectations that determine whether customers come back.
How TheySaid Captures Physical Experience Feedback

Reach Customers Right After the Experience
Place QR codes at checkout counters, waiting areas, reception desks, or exits to capture feedback while the experience is still fresh. Customers scan, complete a short AI-moderated conversation on their phone, and move on. You get honest, in-the-moment reactions rather than vague recollections collected days later.



AI Asks the Follow-Up Questions You Never Get to Ask
A rating scale tells you a customer was dissatisfied. An AI conversation tells you exactly why. TheySaid's AI listens to every response and probes deeper based on what customers say, the way a skilled interviewer would, without the cost of running individual interviews at scale. You hear the specific friction, the unmet expectation, and the moment that shaped their impression of your business.

Test the Digital Touchpoints Surrounding Your Physical Experience
The physical experience starts before customers walk through the door. TheySaid tests the booking flows, reservation systems, loyalty apps, and location pages that shape expectations before arrival and the follow-up communications that determine whether customers return. User experience testing across these digital touchpoints gives you a complete picture of the full customer journey, not just what happens on-site.



Distribute Feedback Requests Across Every Channel You Already Use
Send post-visit AI surveys through email, SMS links, loyalty app notifications, or social media. Every channel routes responses into the same project, so retail customer experience data from your flagship location and your newest outpost are analyzed together without any manual consolidation.

Validate In-Store Digital Touchpoints Before They Go Live
Kiosk interfaces, self-checkout flows, digital menu boards, and in-store apps all affect the physical experience. TheySaid tests these browser-accessible tools with real users before deployment, catching usability problems while changes are still easy to make. TheySaid's Synthetic Panel (coming soon) adds the ability to run AI testers through digital touchpoint flows immediately, without waiting to recruit real participants.

Hear What Your Customers Are Really Saying After Every Visit
Stop relying on star ratings and comment cards to understand your physical experience. TheySaid captures the specific feedback that tells you exactly what to fix and where.
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Everything You Need to Understand Your Physical Experience
QR Code Distribution
Generate a QR code for any TheySaid project and place it anywhere customers are: checkout counters, waiting areas, receipts, packaging, or signage. Customers scan and complete an AI conversation on their phone with no app download or account required.
AI-Moderated Conversations
AI conducts every feedback session on your behalf, asking your questions, listening to responses, and probing deeper when customers mention specific friction, frustration, or praise. Every customer gets a consistent, attentive conversation without any staff involvement.
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Voice-Enabled Responses
Customers can speak their feedback rather than type it. Voice responses capture the emotion, nuance, and detail that text boxes rarely produce, giving you richer customer experience analytics from the same collection moment.
Multi-Location Data in One Place
Run the same feedback project across multiple physical locations and analyze results together or separately. Filter by location, time period, sentiment, or completion rate to understand how the experience varies across your footprint.
Post-Visit Survey Sequences
Send AI-moderated follow-up surveys through email or direct links at the moment that works best for your customers. Configure timing, customize the intro message, and set a redirect URL for customers who complete the conversation.
Traditional Feedback Collection vs. Physical Experience Testing With TheySaid
Without TheySaid

Feedback Arrives Too Late to Act On
Comment cards, end-of-month survey reports, and quarterly mystery shopper findings describe problems that have already repeated dozens of times. By the time the data reaches the people who can fix it, the opportunity to intervene has passed.

Rating Scales Without Context
You know a customer gave you three stars. You don't know which part of the visit drove that rating, what specifically went wrong, or what would have made the experience worth five stars instead. Numbers without stories don't generate direction.

Low Response Rates on Traditional Surveys
Post-visit email surveys sent days after an experience generate response rates that rarely reflect your true customer base. The loudest voices, not the most representative ones, end up shaping your understanding of the experience.

Siloed Feedback Across Locations
Data from different locations, channels, and time periods lives in different systems. Comparing feedback across your physical footprint requires manual consolidation that most teams never have time to do properly.

No Way to Test Before Deploying
New kiosk interfaces, digital menus, and self-checkout flows go live without validation. Problems surface only after real customers have already encountered them in production.

With TheySaid

Capture Feedback at the Right Moment
QR codes and post-visit links reach customers while the experience is still fresh. AI conversations start immediately, capturing honest reactions before memories fade and opinions harden.

The Story Behind Every Rating
Customer feedback tools powered by AI don't just collect scores. They ask why, probe deeper based on what customers say, and surface the specific moments and details that turn a rating into something you can act on.

Higher Engagement Through Conversation
AI-moderated conversations feel more like talking to someone than filling out a form. Customers who wouldn't complete a traditional survey will often share detailed feedback in a conversational format that respects their time.

All Locations, One View
Feedback from every physical location flows into the same platform. Filter, compare, and analyze in-store customer experience data across your entire footprint without building a single spreadsheet.

Validate Before You Deploy
Test kiosk interfaces, digital menus, and in-store apps with real users before they go live. Fix usability problems during development rather than after customers have already encountered them.
See What a Physical Experience Feedback Program Looks Like
See what customers say about our AI user testing platform
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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