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Essential tools for operations.
- Menu management
- KDS
- QR menu
- Table management
TableMind Reviews & Feedback helps restaurants collect guest feedback, understand sentiment, identify recurring issues, respond faster, and connect reviews to CRM, loyalty, marketing, and analytics.
"Amazing pasta and friendly service. The staff remembered my usual table and brought my drink in minutes."
"Food was good, but delivery was late. The packaging kept it warm, but we had to wait 25 minutes past the slot."
"Waited too long for the bill. We were ready to leave but had to flag down three different waiters just to pay."
"Music was too loud in the back room. It was hard to have a quiet conversation during our dinner. Food was excellent."
Tag customer as 'Happy Regular' and invite to the new VIP Loyalty Tier.
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.
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.
Collect feedback after a visit, order, reservation, QR payment, delivery, takeaway, or app interaction.
A guest pays by QR code and receives a quick feedback prompt.
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.
Provide a fast, direct channel for guests to raise private issues, allowing managers to fix service failures before they hit public platforms.
Send compliant, transparent invitation flows for guests to share their honest dining reviews on public directories.
"Collect feedback fairly, respond faster, and learn from every guest experience."
A slow response turns a private dining issue into a public complaint or a permanently lost customer relationship.
Identify outstanding service reviews to reward strong staff behavior and reinforce operational best practices.
One single complaint might be random. Ten consecutive complaints about Friday wait times indicate kitchen capacity limits.
Feedback is ten times more actionable when directly linked to real order details, visit logs, table numbers, and CRM profiles.
Reviews shouldn't sit idle. The inbox flags actions that need responses, task delegation, recovery coupon dispatch, or escalations.
Guests check restaurant ratings, reviews, and manager responses on directories before choosing where to dine.
Collects guest feedback after a dine-in visit or completed reservation.
Collects feedback after direct orders, table orders, takeaway, pickup, delivery, or app orders.
Invites guests to share feedback immediately after paying their bill from the table.
Lets guests share feedback directly with the restaurant before or instead of posting publicly.
Allows restaurants to invite guests to leave honest public reviews through compliant request flows.
Shows exactly where feedback came from (QR payment, reservation, app, website, or delivery).
Connects feedback to order details, menu items, or bill summaries where available.
Connects feedback to reservation details, visit dates, and server notes.
Allows restaurants to define customized timers and trigger rules for sending requests.
Supports fair review collection without manipulative filtering or platform violations.
Automatically classifies guest comments as positive, neutral, negative, or mixed.
Groups reviews into topics like food quality, service speed, wait time, payment, and cleanliness.
Links feedback history directly into the guest profile inside the TableMind CRM.
Tracks whether feedback is new, reviewed, replied to, resolved, or archived.
Configures review responses to match the restaurant’s tone and communication style.
Sends immediate notifications for VIP feedback, negative experiences, or urgent complaints.
Filters inbox view by sentiment, topic, source, date, location, or order type.
Compares guest sentiment and feedback categories across all branches from one dashboard.
Flags negative or urgent feedback for fast resolution and customer outreach.
Allows staff and managers to leave notes on feedback cards for coordinate response plans.
Generates smart suggested responses that managers can review, edit, and approve in seconds.
A clean centralized inbox for viewing, sorting, and responding to all feedback.
Summarizes weekly feedback and customer sentiment into clear executive highlights.
Tracks rating averages, sentiment changes, category frequency, and manager response time.
Highlights positive feedback mentions that praise specific staff members or teams.
Automatically escalates serious feedback to senior managers or owners.
Triggers win-back campaigns or loyalty invites based on the feedback score.
Adds tags like 'Happy Regular' or 'Needs Follow-Up' directly to customer profiles.
A guest leaves feedback saying they waited too long for the bill.
Without a system, the complaint may go unnoticed and they won't return.
The feedback is tagged as negative, categorized as service speed, and flagged for manager follow-up.
The manager responds with a PLN 20 voucher, coordinates checkout training, and saves the customer relationship.
Several guests note that delivery food arrives cold and late.
The restaurant doesn't know whether the issue is kitchen prep, handoff, or courier delay.
Reviews are grouped by delivery issue and connected to courier handoff tags.
The restaurant identifies prep bottleneck and adjusts the courier dispatch schedule.
Guests often mention a server, Alex, by name in glowing reviews.
Positive feedback is rarely shared with the front of house team.
Staff mentions are highlighted in weekly review summaries automatically.
Managers recognize Alex in team briefs, reinforcing positive service standards.
A regular guest who visits weekly leaves a 2-star review after a poor visit.
Treating it like a random complaint ignores the lifetime guest context.
The review connects to the guest’s CRM profile and loyalty status.
The manager prioritizes follow-up, calling them personally to resolve the issue.
Guests repeatedly comment that a gluten-free dish description was confusing.
The menu issue appears as scattered, minor complaints.
Topic detection groups comments under menu clarity categories.
The kitchen refines the digital menu item tag to clearly state ingredients.
A restaurant group receives strong reviews in one branch but weak reviews in another.
The owner cannot easily compare location-level performance.
Review analytics dashboard compares sentiment and topics side-by-side.
The owner identifies process issues at the weaker branch and schedules support staff.
Use Reviews & Feedback to protect brand reputation, understand guest experience across branches, and identify structural operational issues.
Use centralized feedback dashboards to respond in seconds, assign internal resolution tasks, and follow up with guests.
Get direct recognition and rewards when positive reviews mention them by name, and understand service bottlenecks.
Connect reviews to real guest profiles to trigger recovery discount campaigns or invite happy customers to join the Loyalty program.
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.
"Food arrived cold and waiter was inattentive."
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.
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.
Gold Member · 8 visits · 2 reviews left
Connect reviews directly to guest profiles, loyalty metrics, tags, and campaign histories.
Track average ratings, response times, sentiment categories, and monthly trends.
Identify feedback from VIP loyalty program members and dispatch recovery coupon codes.
TableMind pricing
Transparent plans for QR menus, ordering, setup help, and restaurant workflows. No heavy POS contract needed to get started.
Essential tools for operations.
Growth and online features.
Enterprise automation.
Custom pricing
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.
Collect reviews, understand guest sentiment, respond faster with AI, and use feedback patterns to improve service.