Hear what guests don't always say — before small issues become bigger ones.

Guests do not always tell a restaurant when something went wrong. Some leave quietly, some decide not to return, and some only speak up later on a public review platform.

GuestSence gives restaurants a private feedback channel designed to make those quieter experiences easier to hear while there is still an opportunity to understand what happened and respond appropriately.

Guest feedback is organized into a working view for the restaurant team instead of becoming another unstructured inbox.

GuestSence brings forward feedback that needs attention, keeps follow-up requests connected to the original guest experience, and helps restaurant teams see when the same operational issue begins appearing repeatedly.

When guest feedback contains signals of a high-risk food-safety, allergen, injury or other serious concern, GuestSence can surface the report for urgent human review.

Restaurants that enable operational alerts can also receive an email directing the team back to the relevant Guest Care record. Alert emails are designed to provide the operational context needed to investigate without copying the guest's feedback text or contact details into the email.

Repeated guest concerns can become structured improvement work instead of disappearing after they are read.

Restaurant teams can record what they actually changed, allow GuestSence to collect fresh feedback after the change, and review the result once enough relevant evidence is available.

This creates a clearer record of what the restaurant noticed, what it changed and whether later guest feedback moved in the right direction.

GuestSence uses AI-assisted features to help restaurant teams summarize patterns, prepare reply drafts and explore possible areas for improvement.

AI-assisted patterns and suggested actions are linked back to guest feedback used as evidence so restaurant teams can review the reasoning instead of receiving an unsupported recommendation.

High-risk cases remain subject to human review, and AI output is designed to support restaurant decisions rather than make those decisions automatically.

GuestSence is designed around practical restaurant workflows: QR-based private feedback, guest follow-up, recurring issue visibility, operational alerts, review-link tracking, improvement measurement and focused reporting.

The goal is not to give restaurant teams more data to manage. It is to make useful guest information easier to act on.

GuestSence is built and maintained by Justin Sang, Founder of GuestSence.

Product questions, restaurant trials and Partner enquiries have a direct path to the person responsible for the product and its ongoing development.