01
A one-star swing moves revenue measurably
Research on independent restaurants associates a one-star rating improvement with a 5 to 9 percent revenue increase. That is not a brand metric, it is a P and L line.
Restaurants and Food Service
Resolved at the table for restaurants.
Most dissatisfied guests do not complain to the server. They finish the meal, leave quietly, and write the review from the parking lot. Your manager could have fixed it in ninety seconds.
RESTAURANTS
- Table codes
- Counter and pickup
- Restroom placards
- Takeout and drive-through
- Menu board prompts
- Patio and bar
- Staff reporting
- Post-visit mobile web app
Every touchpoint routes to a named owner with a timestamp.
Where it breaks
Three things that cost you money in restaurants.
02
The guest who says nothing never comes back
Only one in twenty-six unhappy customers tells the business. The other twenty-five simply choose somewhere else next Friday.
03
Consistency is won and lost by unit and shift
One location trending down on the closing shift is invisible in an aggregate rating until enough reviews accumulate to confirm it.
How it works here
Capture, route, act. Configured for your operation.
- 01STEP 01
Capture
Codes at the table, on the counter, on takeout packaging, and at the drive-through window. Guests and staff report in one tap, no app.
- 02STEP 02
Route
A flag from table 14 routes to the manager on duty with the table number and the issue, while the guests are still seated.
- 03STEP 03
Act and invite
The manager remakes the dish or adjusts the check before the guest leaves. After the visit, every eligible guest receives the same invitation to review.
Where we listen, and who acts
A signal nobody owns is just a notification.
Every listening point is tied to a location, and every location is tied to a named owner. That pairing is the whole mechanism.
WHERE WE LISTEN
- Table codes
- Counter and pickup
- Restroom placards
- Takeout and drive-through
- Menu board prompts
- Patio and bar
- Staff reporting
- Post-visit mobile web app
Codes are dynamic. Each one carries its own location, so the report arrives already knowing where it came from.
WHO NEEDS THE SIGNAL
Manager on duty
The table number, the issue, and the server, while the party is still seated
Kitchen and expo lead
Food quality and ticket-time reports separated from service reports, so the right side of the pass gets the signal
Facilities and closing crew
Restroom condition, supply, and equipment faults from the person standing in front of them
Multi-unit director
The same categories across every unit, so one location trending down is visible before the ratings confirm it
Marketing and reputation owner
What was resolved privately, read against what posted publicly
Modern stakeholder listening
The people closest to the problem are rarely the ones being asked.
VOICE OF THE EMPLOYEE
The digital suggestion box, rebuilt for real time.
Servers, line cooks, and shift leads know which station is behind and which table is about to walk out, ten minutes before anyone else does.
Give them a private channel that takes seconds to use. Employees can surface ideas, operational concerns, process breakdowns, safety issues, and recognition for a colleague, anonymously where that is enabled. Every submission routes to a named owner, carries a status, and is closed out, then rolls up into the same reporting leadership already reads.
BEYOND LEGACY TEXT-IN REPORTING
One scan. Zero unnecessary friction.
Inbound text-to-report still asks the same thing it always did: remember a number or a keyword, stop what you are doing, open a messaging app, type the issue from a blank field, then describe where you are standing. Most people do not bother.
- A short code asks the reporter to supply the context
- A Trigger Code already carries the location and the context
Outbound messaging stays a valid channel for follow-up and confirmation. The friction being removed is on the way in.
What leadership receives
The signal matters today. The pattern matters tomorrow.
Individual moments are resolved on the floor. Read together across a month, they become the management agenda for restaurants.
IN THE REPORT
- Themes split by daypart, so the closing shift is not hidden inside the daily average
- Speed of service separated from food quality separated from staff interaction
- Restroom and facility recurrence, unit by unit
- Named server and team recognition, clustered by shift
- Takeout and drive-through friction reported separately from dine-in
- Unit-to-unit comparison on identical categories, for a consistency review
WHAT CHANGES IN THE BUSINESS
Rating-driven revenue
Published research associates a one-star improvement with a meaningful revenue increase in this sector. The rating moves when the visit changes, not when the sample is filtered.
Table-level recovery
A remade dish costs a few dollars. The same guest choosing somewhere else every Friday for a year does not.
Consistency across units
Aggregate ratings hide a single location on a single shift. Category-level reporting does not.
Labor and prep deployment
Reports cluster around specific hours and specific stations. Staffing can follow the pattern instead of the template.
What matters most here
Most Relevant Capabilities for Restaurants
The full platform ships with every deployment. These are the capabilities that carry the weight in your operation.
Trigger Codes™
Guests, employees, and other stakeholders scan a code to report an issue or request assistance from exactly where they are standing.
Intelligent Routing
Every response reaches the person who can resolve it, with location and context attached.
Review Invitations
Every eligible guest receives the same post-visit invitation to review publicly. No sentiment filtering.
Second Chance Alert™
Know when a guest with a prior issue returns to the property.
Feature spotlight
Second Chance Alert™ for restaurants
Regulars are the whole business. When a guest who had a bad night walks back in, the manager on duty gets one shot to make the second visit the one they remember.
- Know the moment someone with prior negative feedback returns
- Managers receive the original feedback and the prior response
- Convert the return into a recovery moment before they leave again
SECOND CHANCE ALERT
NOWReturning guest with prior issue
Your manager is alerted with the context needed to create a better experience while the guest is still on the property.
REAL TIME
return alerts
FULL
issue context
1:1
recovery moment
Our clients
Deployed and supported by Get Real Time Feedback.
Georgia Aquarium
ATLANTA, GEORGIA
A high-volume attraction in our home market. Real-time guest, employee, and operational signal captured across the visit and routed to the team on the floor.
Client deployment delivered and supported by Get Real Time Feedback. The image above is a licensed aquarium photograph used to set the environment. It is not a photograph of this deployment.
REFERENCES
Additional client references, deployment detail, and reference calls are available on request as part of a procurement or evaluation process.
Request a referenceSupporting platform references
Operators who run the same platform in venues like yours.
These are deployments of the licensed platform rather than Get Real Time Feedback client engagements. They are published as evidence that the technology holds up at scale.
Their product is simple to use and very reasonably priced. We love it.
Theo Hodges
Sr. VP, Ticket Sales & Service, Dallas Mavericks
Run your own numbers
What is silence costing you?
Enter five numbers you already know. The model applies published research coefficients to your own inputs and returns a conservative range. Every figure below belongs to you, not to us.
2540,000
$5$500
$200$25,000
1.05.0
1%25%
YOUR ESTIMATE
Enter your numbers to see your estimate.
Move any slider, or type a value into any field. Nothing is calculated and no figure is shown until you do. Every result is a conservative range built from your own inputs.
This model applies published third-party research coefficients to the figures you entered. It is an illustrative estimate of exposure, not a projection of results from Get Real Time Feedback. Complaint rate: Esteban Kolsky, ThinkJar Research. Word-of-mouth coefficient: nine people told, 50 percent deterred. Defection band: 25 to 50 percent of silent detractors. Rating-to-revenue coefficient: Michael Luca, Harvard Business School, derived from independent restaurants and applied here as a directional indicator.
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