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TableMind
Growth Product · New

Turn guest feedback into better service.

TableMind Reviews & Feedback helps restaurants collect guest feedback, understand sentiment, identify recurring issues, respond faster, and connect reviews to CRM, loyalty, marketing, and analytics.

Explore Customer Growth Suite
Post-Visit Feedback Sentiment Analytics AI Suggested Drafts CRM & Guest Profile Link
GUEST FEEDBACK STREAM
M
Marco R.
QR Payment

"Amazing pasta and friendly service. The staff remembered my usual table and brought my drink in minutes."

Just now
★★★★★
J
Julia L.
Delivery Order

"Food was good, but delivery was late. The packaging kept it warm, but we had to wait 25 minutes past the slot."

20m ago
★★★☆☆
D
David K.
Table Order

"Waited too long for the bill. We were ready to leave but had to flag down three different waiters just to pay."

1h ago
★★☆☆☆
S
Sophie M.
Private Form

"Music was too loud in the back room. It was hard to have a quiet conversation during our dinner. Food was excellent."

2h ago
Private Feedback
MANAGER ACTION
POSITIVEFood & Service
Guest profile
Loyal Regular (14 visits)
SUGGESTED ACTION

Tag customer as 'Happy Regular' and invite to the new VIP Loyalty Tier.

Response Status Needs response
AI REPLY DRAFT
Friendly Brand Voice
4.6
AVG RATING
128
FEEDBACK THIS WK
Wait time
COMMON ISSUE
+14%
SERVICE MENTIONS
Restaurant Intelligence

Reviews are not just reputation.
They are operational insights.

Every review tells your restaurant something. A compliment shows what is working. A complaint shows what needs attention. A repeated issue shows where operations may be breaking down.

TableMind helps restaurants collect feedback, organize it automatically by sentiment and topic, respond carefully with AI-assisted drafting, and turn guest opinions into service improvements.

Scattered Reviews vs. Unified Feedback

Stop letting feedback disappear
into separate review platforms.

Guests share opinions in many places: after payment, after a delivery order, after a reservation, inside an app, or on public portals. If feedback stays scattered, restaurants react late or miss warning signals entirely.

TableMind brings feedback into the growth loop, linking guest comments with CRM guest history, order files, reservation context, loyalty tiers, and automated follow-ups.

Scattered channels  →  One unified inboxGeneric ratings  →  Customer CRM intelligence
The Feedback Loop

Five steps. One continuous improvement engine.

STEP 01 · Ask

Ask at the right moment.

Collect feedback after a visit, order, reservation, QR payment, delivery, takeaway, or app interaction.

REAL-WORLD SITUATION

A guest pays by QR code and receives a quick feedback prompt.

Feedback Prompts at Checkout
Dine-in guest pays via table QR code. Screen triggers feedback form before receipts are sent.
Compliance Positioning

Honest feedback, handled professionally.

We believe in genuine operations improvement. TableMind actively avoids manipulative "review gating" (filtering out unhappy guests from leaving public reviews). Instead, we support a professional, trusted feedback engine.

Private Resolution first

Provide a fast, direct channel for guests to raise private issues, allowing managers to fix service failures before they hit public platforms.

Transparent Review Requests

Send compliant, transparent invitation flows for guests to share their honest dining reviews on public directories.

Compliance Pledge

"Collect feedback fairly, respond faster, and learn from every guest experience."

The Why

Guest feedback is too valuable to manage manually.

Bad experiences need fast follow-up

A slow response turns a private dining issue into a public complaint or a permanently lost customer relationship.

Positive experiences should be recognized

Identify outstanding service reviews to reward strong staff behavior and reinforce operational best practices.

Scattered reviews hide operational patterns

One single complaint might be random. Ten consecutive complaints about Friday wait times indicate kitchen capacity limits.

Managers need guest context

Feedback is ten times more actionable when directly linked to real order details, visit logs, table numbers, and CRM profiles.

Staff need clear next actions

Reviews shouldn't sit idle. The inbox flags actions that need responses, task delegation, recovery coupon dispatch, or escalations.

Reputation directly drives revenue

Guests check restaurant ratings, reviews, and manager responses on directories before choosing where to dine.

Feature Catalog

Built for restaurant feedback operations.

Collection & Sources

Post-Visit Feedback

Collects guest feedback after a dine-in visit or completed reservation.

Post-Order Feedback

Collects feedback after direct orders, table orders, takeaway, pickup, delivery, or app orders.

QR Payment Feedback

Invites guests to share feedback immediately after paying their bill from the table.

Private Feedback Forms

Lets guests share feedback directly with the restaurant before or instead of posting publicly.

Public Review Request Flow

Allows restaurants to invite guests to leave honest public reviews through compliant request flows.

Source Tracking

Shows exactly where feedback came from (QR payment, reservation, app, website, or delivery).

Order Context Connection

Connects feedback to order details, menu items, or bill summaries where available.

Reservation Context Connection

Connects feedback to reservation details, visit dates, and server notes.

Review Request Rules

Allows restaurants to define customized timers and trigger rules for sending requests.

Compliance-Friendly Review Flow

Supports fair review collection without manipulative filtering or platform violations.

Classification & CRM

Sentiment Analysis

Automatically classifies guest comments as positive, neutral, negative, or mixed.

Topic Detection

Groups reviews into topics like food quality, service speed, wait time, payment, and cleanliness.

Guest Profile Connection

Links feedback history directly into the guest profile inside the TableMind CRM.

Response Status Manager

Tracks whether feedback is new, reviewed, replied to, resolved, or archived.

Brand Voice Settings

Configures review responses to match the restaurant’s tone and communication style.

Review Alerts

Sends immediate notifications for VIP feedback, negative experiences, or urgent complaints.

Feedback Filters

Filters inbox view by sentiment, topic, source, date, location, or order type.

Multi-Location Review View

Compares guest sentiment and feedback categories across all branches from one dashboard.

Actions & Insights

Service Recovery Tasks

Flags negative or urgent feedback for fast resolution and customer outreach.

Internal Notes

Allows staff and managers to leave notes on feedback cards for coordinate response plans.

AI Reply Drafts

Generates smart suggested responses that managers can review, edit, and approve in seconds.

Feedback Dashboard

A clean centralized inbox for viewing, sorting, and responding to all feedback.

Review Summary Reports

Summarizes weekly feedback and customer sentiment into clear executive highlights.

Review Trend Analytics

Tracks rating averages, sentiment changes, category frequency, and manager response time.

Staff Recognition Signals

Highlights positive feedback mentions that praise specific staff members or teams.

Issue Escalation Rules

Automatically escalates serious feedback to senior managers or owners.

Feedback-to-Campaign Loop

Triggers win-back campaigns or loyalty invites based on the feedback score.

CRM Tagging Rules

Adds tags like 'Happy Regular' or 'Needs Follow-Up' directly to customer profiles.

Case Scenarios

TableMind Reviews in action.

EXAMPLE 01

Recovering a bad dine-in experience

SITUATION

A guest leaves feedback saying they waited too long for the bill.

THE RISK

Without a system, the complaint may go unnoticed and they won't return.

HOW TABLEMIND HELPS

The feedback is tagged as negative, categorized as service speed, and flagged for manager follow-up.

OPERATIONAL RESULT

The manager responds with a PLN 20 voucher, coordinates checkout training, and saves the customer relationship.

EXAMPLE 02

Understanding delivery complaints

SITUATION

Several guests note that delivery food arrives cold and late.

THE RISK

The restaurant doesn't know whether the issue is kitchen prep, handoff, or courier delay.

HOW TABLEMIND HELPS

Reviews are grouped by delivery issue and connected to courier handoff tags.

OPERATIONAL RESULT

The restaurant identifies prep bottleneck and adjusts the courier dispatch schedule.

EXAMPLE 03

Turning positive feedback into recognition

SITUATION

Guests often mention a server, Alex, by name in glowing reviews.

THE RISK

Positive feedback is rarely shared with the front of house team.

HOW TABLEMIND HELPS

Staff mentions are highlighted in weekly review summaries automatically.

OPERATIONAL RESULT

Managers recognize Alex in team briefs, reinforcing positive service standards.

EXAMPLE 04

Protecting a loyal guest relationship

SITUATION

A regular guest who visits weekly leaves a 2-star review after a poor visit.

THE RISK

Treating it like a random complaint ignores the lifetime guest context.

HOW TABLEMIND HELPS

The review connects to the guest’s CRM profile and loyalty status.

OPERATIONAL RESULT

The manager prioritizes follow-up, calling them personally to resolve the issue.

EXAMPLE 05

Improving menu clarity

SITUATION

Guests repeatedly comment that a gluten-free dish description was confusing.

THE RISK

The menu issue appears as scattered, minor complaints.

HOW TABLEMIND HELPS

Topic detection groups comments under menu clarity categories.

OPERATIONAL RESULT

The kitchen refines the digital menu item tag to clearly state ingredients.

EXAMPLE 06

Multi-location review comparison

SITUATION

A restaurant group receives strong reviews in one branch but weak reviews in another.

THE RISK

The owner cannot easily compare location-level performance.

HOW TABLEMIND HELPS

Review analytics dashboard compares sentiment and topics side-by-side.

OPERATIONAL RESULT

The owner identifies process issues at the weaker branch and schedules support staff.

User Roles

Value for every member of your team.

Owners

Use Reviews & Feedback to protect brand reputation, understand guest experience across branches, and identify structural operational issues.

Managers

Use centralized feedback dashboards to respond in seconds, assign internal resolution tasks, and follow up with guests.

Staff & FOH Teams

Get direct recognition and rewards when positive reviews mention them by name, and understand service bottlenecks.

CRM & Marketers

Connect reviews to real guest profiles to trigger recovery discount campaigns or invite happy customers to join the Loyalty program.

FEATURE HIGHLIGHT 01

A feedback inbox built for restaurants.

Collect and organize feedback from orders, reservations, payments, app activities, and public review flows into one unified inbox. Avoid clicking between third-party directories or missing order details.

Guest Inbox
3 pending response
Tom H. · Dine-inNEGATIVE

"Food arrived cold and waiter was inattentive."

Food TempService
FEATURE HIGHLIGHT 02

Know what needs attention first.

Do not treat all guest notes equally. Negatives, VIP loyalty regulars, or recurring table order complaints are automatically highlighted and categorized for fast manager recovery action.

Needs Response
14
Escalated
2
Resolved
112
FEATURE HIGHLIGHT 03

Connect feedback to guest context.

See whether a review came from a first-time guest, returning regular, high-value customer, or loyalty member. The CRM linkage provides the background detail you need to respond accurately.

AK

Anna Kowalski

Gold Member · 8 visits · 2 reviews left

Vegan regular
Pricing

Unified pricing for restaurant growth.

TableMind pricing

Start free. Upgrade when your menu starts doing real work.

Transparent plans for QR menus, ordering, setup help, and restaurant workflows. No heavy POS contract needed to get started.

SAVE 20%

Starter

Essential tools for operations.

199PLN/month
  • Menu management
  • KDS
  • QR menu
  • Table management
Subscribe
Most Popular

Pro

Growth and online features.

259PLN/month
  • Everything in Starter
  • Online ordering
  • Reservations
  • Analytics
  • Custom branding
Subscribe

Premium

Enterprise automation.

Custom pricing

  • Advanced AI assistant
  • Preorder/dine-in automation
  • Priority support
  • API access
Contact us
FAQ

Frequently Asked Questions

Reviews & Feedback is a TableMind growth tool for collecting guest feedback, organizing reviews, understanding sentiment, responding faster, and tracking service patterns.

Yes. Guests can share feedback directly with the restaurant through supported private feedback forms instead of posting publicly.

Yes. Public review requests can be supported through transparent and compliant review request flows that align with platform rules.

No. The goal should be honest feedback and professional response, not filtering only happy guests into public review platforms.

Yes. Feedback can connect to guest profiles, order history, reservation history, loyalty status, and customer tags where appropriate.

Yes. Sentiment detection automatically flags feedback as positive, neutral, negative, or mixed.

Yes. Managers can review feedback, add internal notes, track status, and use AI reply drafts where enabled.

AI can generate draft replies based on sentiment and topics, but managers should always review and approve them before sending.

Yes. Feedback is automatically grouped by topics such as food, service, wait time, delivery, cleanliness, pricing, atmosphere, and packaging.

Yes. Multi-location review analytics compares sentiment, issue categories, and feedback trends across branches.

Ready to turn guest feedback into action?

Collect reviews, understand guest sentiment, respond faster with AI, and use feedback patterns to improve service.

Reviews & Feedback
Explore Growth Suite