SaySo for Hospitality

Guest Feedback for Hotels & Restaurants

Capture guest feedback at checkout with voice surveys. Real-time AI analysis helps you control your narrative before guests post reviews online.

Hospitality guest feedback hero image
Guest feedback for hotels and restaurants

Guest Feedback for Hotels & Restaurants

Capture guest feedback at checkout with voice surveys. Real-time AI analysis helps you control your narrative before guests post reviews online.

SaySo guest feedback kiosk in a hotel lobby

HoxtonAi is trusted by thousands of users:

The Problem: Your Reputation Lives on Review Sites You Don't Control

A guest checks out of your hotel. They had a great stay but an average breakfast. A week later, they post a three-star review on TripAdvisor. Your average rating drops. Potential guests see that review. Bookings are affected. You never had a chance to recover the experience or understand what went wrong.

Traditional feedback channels are broken. Post-checkout email surveys get 2–3% response rates. Guest books gather dust. By the time a guest sees an email survey days later, the emotional context has evaporated. You capture detailed feedback from 3–5% of guests — mostly those with strong opinions. The silent majority gives no feedback at all.

Hospitality reputation management challenge

The Solution: Capture Guest Feedback at Checkout — Control the Narrative

SaySo inverts the dynamic. Instead of waiting for guests to post reviews days later, you capture honest feedback while they're still at your property — at the moment of truth, checkout. As a guest checks out, they speak their experience. "The room was beautiful, but the Wi-Fi was slow." Real, unfiltered, in-the-moment feedback.

The completion rate advantage is transformative. Guests checking out will spend 20–30 seconds speaking feedback. Completion rates jump from 1–2% (email) to 10–25% (voice at checkout). Suddenly, you have representative data — not just extreme views, but the authentic experience of your typical guest.

Real-time analysis means you act immediately. A guest mentions a housekeeping issue at checkout. Management sees it before the guest leaves the building. You recover the relationship in real time. When guests feel heard, they become promoters, not detractors. Your online reputation improves because you're actually improving guest experience faster than guests can post online.

Why Hotels & Restaurants Choose SaySo

Hear Guest Feedback Before They Post Reviews

Traditional feedback is delayed and private. SaySo captures honest feedback at checkout, before guests have time to leave reviews. You spot issues and recover relationships in real time.

Preempt reviews icon

Get Representative Feedback, Not Just Extremes

Email surveys reach 1–2% of guests. Voice at checkout reaches 10–25%. You have data from your typical guest, not just the highly motivated. Your improvements are based on what actually matters.

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Recover Guest Experience in the Moment

Housekeeping issue? Checkout feedback catches it immediately. Your manager can follow up and fix it before the guest leaves. That recovered experience means no negative review and improved guest lifetime value.

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Turn Feedback Into Marketing & Operational Advantage

Real guest quotes fuel marketing. Operational themes — parking, breakfast timing, exceptional staff — drive concrete improvements. Data to justify investments, prioritise improvements, and celebrate what's working.

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Trusted by Hospitality Leaders

Hospitality social proof

"Leading hotel and restaurant groups use SaySo to shift from reactive — responding to online reviews — to proactive — capturing and responding to feedback in real time. The result: better guest experiences, fewer negative reviews, and data-driven operational improvements."

— HoxtonAi distribution partner

Ready to Capture Guest Feedback Before Reviews Happen?

Your guests leave feedback somewhere. Make sure it's with you first.

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Frequently Asked Questions

How does voice feedback at checkout differ from a post-stay email survey?

At-checkout voice feedback captures guests when emotion is fresh and completion requires only seconds. Email surveys arrive days later when context has faded and guests feel survey fatigue. Response rates reflect this: voice at checkout achieves 20–35% completion vs. 2–3% for email. The feedback is also richer — voice captures tone and nuance in ways email surveys miss.

Can we segment feedback by room type, restaurant experience, or staff member?

Yes. SaySo allows you to ask contextual questions and tag feedback by staff member, shift, restaurant section, or room category. This lets you identify what's working and what needs improvement with specificity that drives action.

What if a guest leaves negative feedback at checkout?

You have immediate opportunity to recover. Management is alerted in real time. You can follow up with the guest before they leave the property, apologise, address the concern, and potentially offer compensation. A guest whose issue is resolved in real time is far less likely to post a negative review.

FAQs

If you have further questions, our dedicated team would be delighted to answer them.

How does voice feedback at checkout differ from a post-stay email survey?

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At-checkout voice feedback captures guests when emotion is fresh and completion requires only seconds. Email surveys arrive days later when context has faded and guests feel survey fatigue. Response rates reflect this: voice at checkout achieves 10–25% completion vs. 1–2% for email. The feedback is also richer — voice captures tone and nuance in ways email surveys miss.

Can we segment feedback by room type, restaurant experience, or staff member?

This is some text inside of a div block.

Yes. SaySo allows you to ask contextual questions and tag feedback by staff member, shift, restaurant section, or room category. This lets you identify what’s working and what needs improvement with specificity that drives action.

What if a guest leaves negative feedback at checkout?

This is some text inside of a div block.

You have immediate opportunity to recover. Management is alerted in real time. You can follow up with the guest before they leave the property, apologise, address the concern, and potentially offer compensation. A guest whose issue is resolved in real time is far less likely to post a negative review.