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GLARUS Solution

Customer Feedback System

Zeour's customer feedback system helps service organisations measure the experience after a visit. Counter terminals and digital surveys collect CSAT, NPS and CES responses linked to service activity, while reporting and follow-up tools help managers investigate low scores.

One platform · 13 solutions · 6+ countries direct + via partners
GLARUS Customer Feedback System hero strip — MAGNO terminal, multi-channel capture, dashboard, and closed-loop recovery
Overview

Service-Linked Surveys and Follow-Up

Collect a response at the point of service and review it with the branch, counter and visit context. GLARUS combines MAGNO feedback terminals with digital channels, reporting and follow-up tasks for service recovery.

Feedback workflow from a rating terminal through survey scores, alerts and follow-up tasks
GLARUS customer feedback journey overview — capture, trigger, score, alert and recover, report and improve
Feedback journey: capture → trigger → score → recover → improve.

Measure the Experience at Service Touchpoints

The GLARUS queue management system ties feedback to a served ticket. For scheduled visits, explore appointment management, and for reception journeys review visitor management software.

Where feedback points to a wider process problem, digital transformation consulting can help assess the operational changes to consider.

Deep Dive

Feedback Channels, Survey Metrics and Reporting

The Zeour GLARUS Customer Feedback System turns the voice of the customer into an operational loop. It captures across eight channels — MAGNO feedback terminals, tablet feedback kiosks, QR-code surveys, SMS, WhatsApp, and Telegram surveys, in-app feedback, and email and web surveys — and fires every survey as a triggered post-service event, so a score is always attached to a real transaction, counter, service type, and staff member. The scoring engine rolls responses into CSAT, NPS, and CES, sliced per branch, per counter, per agent, and per service; multilingual sentiment analysis reads free-text comments and extracts ranked themes. The closed-loop layer is where feedback becomes action: a low score raises an instant alert, opens an assigned follow-up task, and tracks the recovery to resolution. Real-time dashboards and trend analysis show how satisfaction moves; role-based admin gives administrators, branch managers, and agents the right view; and the platform is fully integrated with queue management, visitor management, and digital signage so feedback lives inside one customer-experience ecosystem. On-premise deployment keeps every comment sovereign.

Zeour GLARUS Customer Feedback System — the enterprise voice-of-customer suite deployed in banks, hospitals, government service halls, retail estates, telecom stores, and hospitality venues. It captures feedback where the experience actually happens: MAGNO feedback terminals at counters and exits, tablet feedback kiosks, QR-code surveys, SMS, WhatsApp, and Telegram surveys, in-app feedback, and email and web surveys. Every survey is triggered right after a service event, so the score is tied to the actual transaction — the counter, the service type, the time window, and the staff member who served the customer. CSAT, NPS, and CES roll up per branch, per counter, per agent, and per service; multilingual sentiment analysis turns free-text comments into themes. A low score raises an instant alert, opens a follow-up task for a manager, and tracks the recovery end to end — so feedback is not just measured, it is closed. It is fully integrated with GLARUS Queue Management, so every score is tied to the served ticket — the exact counter, service, and agent who delivered it. Sovereign on-premise deployment keeps every comment inside the operator's perimeter; engineered multilingual with full RTL; Zeour designs and ships the MAGNO terminals as well as the software. Measures one counter or a national branch network with equal ease — start with a single feedback terminal and grow on the same platform.

Key Functionalities

Deep dive diagram of GLARUS customer feedback modules — capture surfaces, scoring engine, sentiment analysis, recovery workflow

Multi-Channel Capture

One feedback engine fed by MAGNO terminals, tablet kiosks, QR-code surveys, SMS, WhatsApp, and Telegram surveys, in-app feedback, and email and web surveys. Every channel produces a comparable, context-tagged response.

One feedback engine fed by every channel customers actually use — at the counter and on their own phone.

  • MAGNO push-button and touchscreen terminals at counters, exits, and service points
  • Tablet feedback kiosks for richer surveys at reception and waiting areas
  • QR-code, SMS, WhatsApp, Telegram, in-app, and email and web surveys for capture on the customer's own device
  • Every channel feeds the same scoring and analytics — one consistent picture per branch

Triggered Post-Service Surveys

Surveys fire the moment a service event completes, so the response is automatically tied to the branch, counter, service type, time window, and staff member — not a faceless average.

Surveys fired by the transaction, so a score is never an anonymous average.

  • A feedback request fires the moment a service event completes
  • Responses auto-tagged with branch, counter, service type, and time window
  • The serving staff member is attached to every score
  • Quota and sampling controls keep response volume healthy at busy sites

CSAT / NPS / CES Scoring

A scoring engine that computes CSAT, NPS, and CES and breaks every metric down per branch, per counter, per agent, and per service, with day / week / month / quarter trend views.

A scoring engine that turns ratings into the three metrics that matter — sliced to the point of service.

  • CSAT for service-event satisfaction; NPS for loyalty; CES for process effort
  • Every metric broken down per branch, per counter, per agent, and per service
  • Trend views across day, week, month, and quarter
  • Promoter / passive / detractor segmentation for NPS

Multilingual Sentiment Analysis

Free-text comments are classified positive / neutral / negative and grouped into ranked themes, across every language the deployment is configured for, including RTL scripts.

Free-text comments read, classified, and grouped — so the richest feedback is never ignored.

  • Positive / neutral / negative classification on every comment
  • Automatic theme and topic extraction from open-ended responses
  • Works across every configured language, including RTL scripts
  • Ranked themes with sentiment and volume — what to fix first, at a glance

Closed-Loop Service Recovery

Low scores raise an alert, open an assigned follow-up task for a branch manager, and track the recovery through open, in progress, and resolved states — every detractor is followed up.

The layer that turns a low score into a resolved complaint and a retained customer.

  • A low score raises an instant alert against configurable escalation rules
  • A follow-up task is assigned to the responsible branch manager
  • Recovery tracked through open, in progress, and resolved states
  • Outcomes recorded for audit, coaching, and trend analysis

Alerting & Escalation Rules

Configurable rules trigger alerts by score threshold, branch, service, or recurrence, and route them to the right person via on-screen, email, or SMS channels.

Survey Builder

A drag-and-drop builder for rating, NPS, multiple-choice, and free-text questions, with branching logic so detractors and promoters see different follow-up questions.

Real-Time Dashboards & Trends

Live dashboards update as responses land; trend analysis shows how satisfaction moves over time, with branch league tables and per-agent scorecards for accountability.

Role-Based Admin

Distinct administrator, branch-manager, and agent views, so each role sees the surveys, scores, and recovery tasks it owns — and customer comments stay appropriately controlled.

Administrator, branch-manager, and agent views — each scoped to what that role owns.

  • Administrator configures surveys, channels, escalation rules, branches, and users
  • Branch manager owns their branch's scores and recovery queue
  • Agent sees their own performance and the feedback tied to their counter
  • Customer comments stay appropriately controlled by role

Ecosystem Integration

Feedback is fully integrated with GLARUS Queue Management — every score links to the served ticket, counter, and agent — and ties to the recorded visit from Visitor Management; live CSAT publishes to lobby screens via GRAVIA digital signage.

Reporting & Export

Scheduled and on-demand PDF and CSV reports for branch reviews and executive packs, plus audit-ready logging of every survey, alert, and recovery action.

Multilingual UI with Full RTL

English and Arabic ship as a production baseline with full RTL; any other locale is added per engagement. The terminal UI, surveys, and customer-facing email and SMS copy all switch per locale.

Software Components

Customer-Facing Surfaces

MAGNO Terminal App

The fast, full-screen survey runtime on the MAGNO feedback terminal — a one-tap push-button rating or a short touchscreen survey, multilingual and full-RTL aware, designed to be answered in seconds at a counter or exit.

Tablet Feedback Kiosk App

A richer survey experience for a tablet at reception or a waiting area — multi-question surveys with branching logic, idle reset between customers, and brand-matched styling.

Survey Web & Mobile Page

The survey opened on the customer's own device — from a QR code, an SMS, WhatsApp, or Telegram link, an in-app prompt, or an email survey. A clean, responsive survey that adapts to the configured locale and renders RTL automatically.

Feedback Engine & Analytics

Scoring Engine

Computes CSAT, NPS, and CES from incoming responses and slices every metric per branch, per counter, per agent, and per service, with trend aggregation across day, week, month, and quarter.

Sentiment & Theme Analysis

Classifies free-text comments as positive, neutral, or negative and extracts recurring themes, working across every configured language including right-to-left scripts.

Real-Time Dashboard

Live operational dashboard that updates as responses land — branch league tables, per-counter and per-agent scorecards, sentiment theme breakdowns, and trend charts.

Reporting & Export

Scheduled and on-demand PDF and CSV report generation for branch and executive reviews, with saved report templates and recipient lists.

Closed-Loop & Admin

Alerting & Escalation Engine

Evaluates incoming responses against configurable rules and raises instant alerts by score threshold, branch, service, or recurrence — routed via on-screen, email, or SMS channels.

Service-Recovery Workflow

Opens an assigned follow-up task on a low score, tracks it through open, in progress, and resolved states, and records the recovery outcome for audit and coaching.

Survey Builder & Channel Manager

A drag-and-drop survey builder with branching logic, plus configuration for which channels run which surveys, with quota and sampling controls to avoid fatigue.

Role-Based Admin Portal

Administrator, branch-manager, and agent roles with scoped views; user management, branch and service configuration, and an audit log of every survey, alert, and recovery action.

Integration & Platform

Ecosystem Connectors

Connectors that link feedback to the served ticket from GLARUS Queue Management and the recorded visit from Visitor Management, and publish live CSAT to GRAVIA digital signage.

Integration API

A REST API for pushing responses into a CRM or data warehouse and pulling survey results into the operator's own reporting — read endpoints for results, authenticated endpoints for writes.

Hardware Components

MAGNO Feedback Terminals

MAGNO Push-Button Feedback Terminal

A counter-mounted device with clear smiley or rating buttons for a one-tap satisfaction score — the fastest way to capture feedback at the moment of service without slowing the customer down.

MAGNO Touchscreen Feedback Terminal

A touchscreen feedback device for a short multi-question survey at counters, exits, and service points — multilingual, full-RTL aware, with Android options and an optional camera module. See the GLARUS hardware catalogue at /solutions/queue-management-system#hardware.

Tablet Feedback Kiosks

Tablet Feedback Stand

A secured tablet on a counter or floor stand running the tablet feedback kiosk app — for a richer survey at reception or in a waiting area, with anti-theft mounting for unattended placement.

Wall-Mounted Survey Display

A wall-mounted touchscreen near an exit for an estate that prefers a fixed survey point rather than a per-counter terminal.

Branch Server & Infrastructure

Industrial Branch Server

An on-premise branch server that runs the feedback stack locally, so a branch keeps capturing and scoring feedback even without an internet connection. Part of the GLARUS hardware line — see /solutions/queue-management-system#hardware.

PoE Power Distribution

Industrial PoE power distribution for powering MAGNO terminals and survey displays from a single rack point, resilient to flaky mains power.

Operator Workstations

Branch Manager Workstation

A standard desktop or laptop running the role-based admin portal in a browser — where the branch manager works recovery tasks, reviews scorecards, and reads sentiment themes.

Lobby CSAT Display

A GRAVIA-driven lobby screen that publishes live CSAT to the waiting area — turning a good score into visible proof for the next customer.

Customer Feedback Architecture — GLARUS Platform

The GLARUS Customer Feedback System runs across three coordinated layers over one shared data model. Customer-facing surfaces — MAGNO terminals, tablet kiosks, and the survey page on the customer's phone — capture responses. The central plane scores, analyses, alerts, and stores. Operator tools — the dashboards, the survey builder, and the recovery workflow — turn the data into action. Deployed on-premise on the operator's own infrastructure, every rating and comment stays sovereign; a managed deployment is available where speed of pilot matters more.

GLARUS customer feedback three-tier architecture image — capture surfaces, central plane, operator tools
01Architecture Tier

Tier 1 — Customer-Facing Surfaces

Where feedback is actually given

  • MAGNO push-button and touchscreen feedback terminals at counters, exits, and service points
  • Tablet feedback kiosks for richer surveys at reception and waiting areas
  • Survey web and mobile page opened via QR code, an SMS / WhatsApp / Telegram link, an in-app prompt, or an email survey
  • Multilingual UI with full RTL — fast enough to answer in seconds
  • Idle reset between customers so every terminal greets the next person cleanly
02Architecture Tier

Tier 2 — Central Plane

The brain — scoring, sentiment, alerting, storage

  • Standalone application server deployable behind the reverse proxy of your choice
  • Scoring engine computing CSAT, NPS, and CES sliced per branch, counter, agent, and service
  • Multilingual sentiment and theme analysis on free-text comments
  • Alerting and escalation engine evaluating responses against configurable rules
  • A REST integration API — read endpoints for results, authenticated endpoints for writes
  • A single shared data model — branch, counter, service, agent, survey, response, recovery task
  • Sovereign on-premise storage; audit logging for every survey, alert, and recovery action
03Architecture Tier

Tier 3 — Operator Tools

Where feedback becomes action

  • Role-based admin portal — administrator, branch-manager, and agent views
  • Drag-and-drop survey builder with branching logic and channel configuration
  • Real-time dashboards with branch league tables and per-agent scorecards
  • Closed-loop service-recovery workflow — assign, track, and resolve follow-up tasks
  • Scheduled and on-demand PDF and CSV reporting for branch and executive reviews
  • Ecosystem connectors to queue management, visitor management, and digital signage

Resilience & Real-Time Behavior

Real-time
  • Dashboards update as responses land — branches see today's satisfaction, not last night's batch
  • Low-score alerts fire instantly so a detractor is followed up within minutes
  • A branch server keeps capturing and scoring feedback even without an internet connection
  • Survey capture is non-blocking — the terminal never makes a customer wait on a write
  • Standalone build deployable behind any reverse proxy; sovereign on-prem or managed
  • Survey templates and escalation rules configured once and applied across the whole estate

Feedback System vs Comment Cards vs Generic Survey SaaS vs DIY — What You Need

Most "customer feedback" in the world is still a paper comment box or a once-a-year survey. The next-most-common option is a generic cloud survey tool that captures responses but never closes the loop. An enterprise feedback platform like the GLARUS Customer Feedback System is the only category that captures in the moment, ties every score to a real transaction, and tracks recovery to resolution — on the operator's own infrastructure.

Comparison of GLARUS Customer Feedback System vs comment cards vs generic survey SaaS vs DIY build
How an enterprise feedback platform compares to comment cards, survey SaaS, and DIY.

GLARUS Customer Feedback System (Enterprise VoC Platform)

Best for: Multi-branch operators — banks, hospitals, government, retail, telecom — that need feedback tied to the transaction, closed-loop recovery, and sovereign data.

Comparison
  • Multi-channel capture — MAGNO terminals, tablet kiosks, QR, SMS, WhatsApp, Telegram, in-app, and email and web surveys
  • Triggered post-service surveys tied to branch, counter, service, time window, and agent
  • CSAT, NPS, and CES scored per branch, counter, agent, and service with trend analysis
  • Multilingual sentiment analysis with ranked theme extraction on free-text comments
  • Closed-loop service recovery — instant alerts, assigned tasks, tracked to resolution
  • Role-based admin, full integration with queue management / visitor management / digital signage, full RTL
  • Sovereign on-premise deployment; GDPR / HIPAA / PDPL aligned

Paper Comment Cards & Suggestion Box

Best for: Nothing in 2026. It is what you are replacing.

Comparison
  • A box and a stack of cards by the exit; a handful of slips collected per month
  • No sampling — captures only the angriest customers, or staff filling cards in
  • No link between a comment and the branch, counter, service, or agent
  • No sentiment analysis, no trend, no alerting, no recovery process
  • Comments transcribed by hand into a spreadsheet that nobody reads

Generic Survey SaaS

Best for: One-off email surveys and quick polls where the operator does not need in-branch capture or closed-loop recovery.

Comparison
  • A cloud tool for sending email and web surveys to a contact list
  • No on-site terminals, no triggered post-service capture at the counter
  • Responses live in a third-party cloud the operator does not control
  • Little or no link to the actual transaction, counter, or serving agent
  • No service-recovery workflow and no integration with queue or visitor systems

DIY / In-House Build

Best for: Teams with spare engineering capacity that want full control and are prepared to own the maintenance.

Comparison
  • A custom-built survey form and a database the operator maintains itself
  • No purpose-built MAGNO terminals — hardware sourced and integrated separately
  • Sentiment analysis, alerting, and recovery workflow all built from scratch
  • Multilingual and full-RTL support is the operator's engineering problem
  • Ongoing security, scaling, and compliance burden falls entirely on the in-house team

Customer Feedback System — Deployment Checklist

A practical 5-phase rollout playbook for going live with the GLARUS Customer Feedback System — from a single-branch pilot to a multi-branch estate. Use it as a project plan with your Zeour partner.

Deployment checklist graphic for the GLARUS Customer Feedback System — discovery, setup, install, pilot, roll out
  1. 01

    1) Discovery & Survey Design

    Checklist
    Map the touchpoints — which counters, exits, and service points need a feedback capture
    Choose the channel mix: MAGNO terminals, tablet kiosks, QR, SMS, WhatsApp, Telegram, in-app, and email and web surveys
    Design the surveys — CSAT, NPS, and CES questions, plus the free-text prompts that matter
    Define escalation policy — score thresholds, who is alerted, and how recovery is owned
    Decide languages (English + Arabic baseline; add other locales per engagement)
  2. 02

    2) Central Setup & Configuration

    Checklist
    Provision the on-premise server and validate the deployment environment
    Create the first administrator account and the branch-manager and agent roles
    Build the survey templates in the drag-and-drop builder with branching logic
    Configure branches, counters, services, and the escalation and alerting rules
    Match the terminal and portal styling to the operator's brand
  3. 03

    3) Terminal & Channel Install

    Checklist
    Install MAGNO feedback terminals at the mapped counters, exits, and service points
    Set up tablet feedback kiosks at reception and waiting areas with anti-theft mounting
    Configure QR-code printing on receipts and tickets; wire up the SMS, WhatsApp, Telegram, in-app, and email channels
    Connect ecosystem integration — link feedback to served tickets and recorded visits
    Verify each terminal and channel reports cleanly into the central dashboard
  4. 04

    4) Pilot & Train

    Checklist
    Pilot for 2 weeks at one branch — terminals at the busy counters, two or three surveys live
    Train branch managers on the dashboard, the recovery workflow, and the scorecards
    Train agents on what their scores mean and how feedback ties to their counter
    Validate that low-score alerts fire and recovery tasks are picked up and closed
    Measure response rate, time-to-recovery, and the first sentiment themes
  5. 05

    5) Roll Out, Measure & Improve

    Checklist
    Roll out to additional branches using the pilot's survey templates and escalation rules
    Track weekly: CSAT / NPS / CES trend, branch league table, open recovery tasks, top themes
    Use sentiment themes to prioritise service and process fixes across the estate
    Coach agents with per-counter scorecards; recognise top performers with the data
    Publish live CSAT to lobby screens via digital signage and feed executive reviews

Customer Feedback System Gallery

Visual highlights of the GLARUS Customer Feedback System — the voice-of-customer platform deployed in banks, hospitals, governments, retail, and hospitality worldwide.

GLARUS MAGNO feedback terminal at a service counter showing a push-button and touchscreen satisfaction survey
MAGNO feedback terminals — one-tap ratings and short surveys at the moment of service.
GLARUS customer feedback multi-channel capture across MAGNO terminals, tablet kiosks, QR, SMS, WhatsApp, Telegram, in-app, and email surveys
Multi-channel capture — terminals, tablets, QR, SMS, WhatsApp, Telegram, in-app, and email.
GLARUS customer feedback real-time dashboard showing CSAT, NPS, and CES per branch, counter, and agent
Real-time dashboard — CSAT, NPS, and CES sliced per branch, counter, and agent.
GLARUS customer feedback closed-loop service recovery workflow from low-score alert to resolved task
Closed-loop recovery — alert, assign, and track every detractor to resolution.
GLARUS customer feedback three-tier architecture diagram with capture surfaces, central plane, and operator tools
Three-tier architecture: capture surfaces, central plane, operator tools.
Problem vs Solution

Why Comment Cards and Annual Surveys Fail

Paper comment boxes and once-a-year surveys measure satisfaction too late, too vaguely, and with no way to act — here is why a closed-loop feedback system is essential.

Why paper comment cards and annual surveys fail versus an enterprise closed-loop feedback system
Why comment boxes, annual surveys, and generic survey tools fall short.
The Problem01

Feedback Arrives Far Too Late to Act On

An annual satisfaction survey tells you in March how customers felt last October. By then the agent has moved on, the customer has churned, and the branch has no idea which transaction went wrong. The signal arrives months after the moment it could have been fixed.

The Zeour Approach

Triggered Surveys Capture Feedback in the Moment

A survey fires the second a service event completes — on a MAGNO terminal, a QR code, an SMS, WhatsApp, or Telegram message, an in-app prompt, or an email. Feedback is captured while the experience is fresh, response rates rise, and a manager sees a problem in minutes, not months.

The Problem02

Comment Boxes Capture Almost Nobody

A paper comment box at the exit collects a handful of slips a month — almost all of them from people angry enough to write, or from staff filling them in. There is no sampling, no context, and no way to know whether the box reflects the experience of the thousands of customers who walked past it.

The Zeour Approach

Multi-Channel Capture Reaches Everyone

MAGNO terminals, tablet kiosks, QR, SMS, WhatsApp, Telegram, in-app feedback, and email and web surveys cover every customer and every preference. The estate gets a representative, continuously sampled signal instead of a few angry slips of paper.

The Problem03

No Link Between a Score and a Transaction

A generic survey produces a number — "we scored 3.8 out of 5." It cannot tell you which branch, which counter, which service, or which agent that number came from, so a manager has nothing concrete to coach against and no way to find the actual problem.

The Zeour Approach

Every Score Is Tied to a Real Transaction

Because the survey is triggered by the transaction, every response carries its branch, counter, service type, time window, and staff member. CSAT, NPS, and CES break down to the exact point of service — so the problem is findable and coachable.

The Problem04

Free-Text Comments Pile Up Unread

When comments do come in, they land in an inbox or a spreadsheet that nobody has time to read. The richest feedback — the customer's own words — is the first thing to be ignored, because there is no way to turn a thousand comments into a short list of what to fix.

The Zeour Approach

Sentiment Analysis Turns Comments Into Themes

Multilingual sentiment analysis reads every free-text comment, tags it, and groups it into ranked themes. Instead of an unread inbox, the operator gets a short, ordered list of what is actually driving dissatisfaction.

The Problem05

A Low Score Goes Nowhere

Even when a poor rating is captured, there is usually no process behind it. Nobody is alerted, nobody is assigned, the customer is never contacted, and the complaint is never resolved. The detractor leaves quietly, tells other people, and the operator never knows it happened.

The Zeour Approach

Closed-Loop Recovery Catches Detractors

A low score raises an instant alert, opens an assigned follow-up task, and tracks the recovery to resolution. The branch manager contacts the customer, fixes the issue, and records the outcome — every detractor is followed up, and the recovery is auditable.

The Problem06

No Estate-Wide, Real-Time Picture

Branch reports are stitched together by hand, in different formats, and arrive too late to act on. Executives cannot see how satisfaction is trending across the estate today, cannot compare branches fairly, and cannot tell whether a service change made things better or worse.

The Zeour Approach

One Live Dashboard for the Whole Estate

Real-time dashboards and trend analysis give every branch the same metrics and roll them into one executive view — branch league tables, per-agent scorecards, and sentiment themes — so leadership can see today what is moving and why.

Features

Customer Feedback Features

Key features of the GLARUS Customer Feedback System — multi-channel capture, triggered surveys, sentiment analysis, closed-loop recovery
Feature highlights that move you from comment cards to closed-loop feedback.

Multi-Channel Capture — MAGNO Terminals, Tablet Kiosks, QR, SMS, WhatsApp, Telegram, In-App, and Email / Web Surveys

On-Site MAGNO Feedback Terminals (push-button and touchscreen) at Counters, Exits, and Service Points

Triggered Post-Service Surveys Fired Right After the Service Event

Feedback Tied to the Actual Transaction — Counter, Service Type, Time Window, and Staff Member

CSAT Tracking Broken Down Per Branch, Per Counter, Per Agent, and Per Service

NPS Capture with Promoter / Passive / Detractor Segmentation

CES (Customer Effort Score) for Process- and Journey-Level Friction

Multilingual Sentiment Analysis on Free-Text Comments (positive / neutral / negative + theme tags)

Automatic Theme and Topic Extraction from Open-Ended Responses

Real-Time Dashboards Updated as Responses Land

Trend Analysis Over Time — Day, Week, Month, and Quarter Views

Closed-Loop Service Recovery — Alert, Assign a Follow-Up Task, Track Resolution to Close

Instant Low-Score Alerts to Branch Managers via On-Screen, Email, or SMS Channels

Configurable Alerting and Escalation Rules (by score threshold, branch, service, or recurrence)

Role-Based Admin — Distinct Admin, Branch Manager, and Agent Views

Per-Agent and Per-Counter Scorecards for Coaching and Recognition

Drag-and-Drop Survey Builder — Rating, NPS, Multiple Choice, and Free-Text Question Types

Survey Logic and Branching So Detractors and Promoters See Different Follow-Up Questions

Quota and Sampling Controls to Avoid Survey Fatigue at High-Traffic Sites

Fully Integrated with GLARUS Queue Management — Every Score Tied to the Served Ticket, Counter, and Agent

Visitor Management Integration — Ties Post-Visit Feedback to the Recorded Visit

Live CSAT Published to Lobby Screens via GRAVIA Digital Signage

Multilingual UI with Full RTL — English + Arabic Baseline, Any Locale Per Engagement

Anonymous and Identified Feedback Modes with Per-Survey Consent Controls

Scheduled and Exportable Reports — PDF and CSV for Branch and Executive Reviews

Audit-Ready Activity Logging for Every Survey, Alert, and Recovery Action

GDPR / HIPAA / PDPL Aligned — Comment Retention Policies and Data-Subject Controls

Sovereign On-Premise Deployment for Full Data Sovereignty

Core Components

Customer Feedback Components

Feedback Channels, Survey Metrics and Reporting.

GLARUS customer feedback core components diagram — capture, triggered surveys, scoring, sentiment, recovery, dashboards, admin, security
Core building blocks of a complete enterprise feedback platform.

Real-Time Dashboards & Reporting

Live operational visibility for branches and one rolled-up picture for executives.

  • Dashboards that update as responses land — no overnight batch
  • Branch league tables and per-agent and per-counter scorecards
  • Trend analysis showing how satisfaction moves over time
  • Scheduled and on-demand PDF and CSV reports for branch and executive reviews

Security & Compliance

Built for regulated environments — anonymous modes, retention controls, audit log, on-prem option.

  • Anonymous and identified feedback modes with per-survey consent controls
  • Configurable comment retention policies and data-subject controls
  • Audit-ready logging of every survey, alert, and recovery action
  • GDPR / HIPAA / PDPL aligned; sovereign on-premise deployment
Benefits

Service Insight and Follow-Up Accountability

Benefits infographic for the GLARUS Customer Feedback System — catch detractors early, lift CSAT and NPS, reduce churn
Measurable outcomes: catch detractors early, lift satisfaction, reduce churn.
01

Catch unhappy customers within minutes — not in a quarterly survey nobody reads

02

Close the loop on 100% of low scores with assigned, tracked recovery tasks

03

Pinpoint which branch, counter, service, or agent is dragging satisfaction down

04

Lift CSAT and NPS across the estate with feedback tied to the real transaction

05

Cut churn by recovering detractors before they leave for a competitor

06

Turn free-text comments into ranked themes instead of an unread inbox

07

Coach agents with objective per-counter scorecards instead of anecdotes

08

Give executives one live dashboard instead of stitched-together branch reports

09

Meet GDPR / HIPAA / PDPL with on-premise storage and comment retention controls

10

Run one customer-experience stack — feedback, queue, visitor, signage — not four tools

Process

From Service Event to Feedback Follow-Up

Capture the response, analyse the score and comments, then track any follow-up needed.

How the GLARUS Customer Feedback System works timeline — from capture through trigger, scoring, recovery, and reporting
  1. Capture at the Touchpoint

    The customer gives feedback where the experience happened — a push-button or touchscreen MAGNO terminal at the counter or exit, a tablet feedback kiosk, a QR code on the receipt, an SMS, WhatsApp, or Telegram message, an in-app prompt, or an email survey. The terminal UI is fast, multilingual, and full-RTL aware, so a rating takes seconds and nobody is left puzzling over the screen.

  2. Trigger Right After Service

    A feedback request fires the moment a service event completes. Because the survey is triggered by the transaction, the response carries context automatically — which branch, which counter, which service type, which time window, and which staff member. The score is never an anonymous average; it is attached to a real moment of service.

  3. Score and Analyse

    Ratings roll up into CSAT, NPS, and CES, broken down per branch, per counter, per agent, and per service. Multilingual sentiment analysis reads free-text comments, tags them positive, neutral, or negative, and extracts recurring themes — so a thousand comments become a ranked list of what to fix first.

  4. Alert and Recover

    A low score raises an instant alert against the configured escalation rules. A follow-up task is assigned to the responsible branch manager, who contacts the customer, resolves the issue, and records the outcome. The recovery is tracked end to end — open, in progress, resolved — so no detractor slips through.

  5. Report and Improve

    Real-time dashboards and trend analysis show how satisfaction moves over days, weeks, and quarters. Per-agent scorecards drive coaching; branch league tables drive accountability. Live CSAT can be published to lobby screens via GRAVIA digital signage, and scheduled PDF / CSV reports feed branch and executive reviews.

Industries

Customer Feedback Use Cases by Industry

Explore the service environments relevant to customer feedback.

Industries served by GLARUS customer feedback — banking, healthcare, government, retail, telecom, hospitality, education
Service-driven industries where the voice of the customer carries operational weight.
Banks & Financial Services
Hospitals & Clinics
Government Service Halls
Retail Stores & Chains
Telecom Stores
Hospitality & Hotels
Restaurants & QSR
Universities & Education
Insurance Providers
Public Service Halls
Embassies & Visa Centers
Airports & Aviation Hubs
Shopping Centers & Malls
Contact Centers & Service Desks
Pharmacies & Diagnostic Labs
FAQ

Customer Feedback System FAQs

Get answers to the most common questions about our customer feedback.

What is a customer feedback system?

A customer feedback system is software — plus the terminals, kiosks, and survey channels that present it — that captures what customers think about a service experience, analyses it, and helps the operator act on it. The Zeour GLARUS Customer Feedback System captures across multiple channels: MAGNO feedback terminals at counters and exits, tablet feedback kiosks, QR-code surveys, SMS, WhatsApp, and Telegram surveys, in-app feedback, and email and web surveys. It scores CSAT, NPS, and CES per branch, per counter, per agent, and per service; it runs multilingual sentiment analysis on free-text comments; and it closes the loop by raising alerts and tracking service-recovery tasks to resolution. It is part of the GLARUS customer-experience ecosystem, alongside queue management, visitor management, and digital signage.

Can a small business with one site use the customer feedback system?

Yes — one site with a single feedback terminal (or QR-based feedback with no hardware at all) is a standard Starter-tier deployment. Small operators get the same CSAT / NPS analytics, alerting, and reporting as enterprise estates, sized to one location's budget. Because feedback rides the same GLARUS platform as queueing and appointments, a single-site business can correlate satisfaction with wait times from day one — analysis usually reserved for the big players.

Is the Customer Feedback System cloud or on-premise?

On-premise is the default. The whole platform runs on the operator's own infrastructure — a branch server or a central server inside the operator's perimeter — so every rating, every free-text comment, and every recovery note stays sovereign. This matters for banks, hospitals, and government service halls where customer comments can contain sensitive detail. The application is the same whichever way it is deployed; on-premise simply means the operator owns the data, the storage, and the deploy keys outright. A managed deployment is available where speed of pilot matters more than sovereignty.

How does the system capture feedback?

Through eight coordinated channels. On-site MAGNO feedback terminals — push-button devices for a one-tap rating and touchscreen devices for a short survey — sit at counters, exits, and service points. Tablet feedback kiosks run a richer survey at reception or a waiting area. QR-code surveys print on a receipt or ticket and open on the customer's own phone. SMS, WhatsApp, and Telegram surveys reach the customer on the messaging channel they already use, with a tap-to-rate link sent right after service. In-app feedback prompts collect a rating inside the operator's own mobile or web app. Email and web surveys reach customers who prefer a longer form later. Every channel feeds the same scoring and analytics engine, so a branch sees one consistent picture regardless of how the feedback arrived.

What are triggered post-service surveys?

A triggered post-service survey is a feedback request that fires the moment a service event completes — rather than a generic survey blasted to a list. Because the request is triggered by the transaction, the response is automatically tagged with the branch, the counter, the service type, the time window, and the staff member involved. That context is the difference between "our NPS is 41" and "counter 3 in the downtown branch drops to NPS 12 between 1pm and 3pm." Triggered surveys also lift response rates, because the customer is asked while the experience is still fresh.

What metrics does it track — CSAT, NPS, CES?

All three. CSAT (Customer Satisfaction) measures how satisfied a customer was with a specific service event. NPS (Net Promoter Score) measures loyalty and likelihood to recommend, segmenting respondents into promoters, passives, and detractors. CES (Customer Effort Score) measures how much effort the customer had to expend — useful for spotting process friction. Every metric is broken down per branch, per counter, per agent, per service, and per time window, and tracked as a trend over days, weeks, months, and quarters so improvement is visible.

How does the sentiment analysis work?

Free-text comments are the richest feedback and the hardest to read at scale. The system runs multilingual sentiment analysis on every comment, classifying it as positive, neutral, or negative and extracting the recurring themes — wait time, staff attitude, facility cleanliness, system errors, and so on. Instead of a manager scrolling an endless comment list, the dashboard shows a ranked set of themes with their sentiment and volume, so the operator knows what to fix first. Sentiment analysis works across the languages the deployment is configured for, including right-to-left scripts.

What is closed-loop service recovery?

Capturing a low score is only half the job — closing the loop is the other half. When a rating falls below a configured threshold, the system raises an instant alert and opens a follow-up task assigned to the responsible branch manager. The manager contacts the customer, resolves the complaint, and records the outcome; the task moves through open, in progress, and resolved states, and the whole recovery is tracked end to end. The result is that every detractor is followed up, every recovery is auditable, and an unhappy customer is far less likely to leave quietly.

How does it integrate with the rest of the GLARUS ecosystem?

Feedback plugs directly into the other GLARUS modules. From queue management it links each survey to the served ticket — so a score is tied to the exact counter and agent that issued service. From visitor management it ties post-visit feedback to the recorded visit. Live CSAT can be published to lobby screens through GRAVIA digital signage, turning a good score into visible proof for the next customer in the lobby. One ecosystem, one customer-experience picture — instead of four disconnected tools.

What languages does the feedback system support?

English and Arabic (full RTL) ship as a production baseline; French, Spanish, German, Portuguese, Italian, Dutch, Turkish, Urdu, Hindi and more are added per engagement. The terminal UI, the survey questions, the sentiment analysis, and the customer-facing email and SMS copy all switch per locale, and right-to-left layout is applied automatically for RTL scripts. Adding a new locale is a contained per-engagement change — a translation bundle for the survey and UI strings. International branches and visitors get a survey in a language they actually read.

Is it GDPR / HIPAA / PDPL compliant?

It is built for regulated environments. On-premise deployment keeps every rating and comment inside the operator's perimeter. Surveys can run in anonymous mode — no personal identifier captured — or in identified mode with explicit per-survey consent. Comment retention policies let the operator define how long free-text feedback is kept, and data-subject controls support access and deletion requests. Role-based admin restricts who can read raw comments, and an audit log records every survey, alert, and recovery action. GDPR, HIPAA, and PDPL alignment is a deployment posture, not an add-on.

How does role-based access work?

The platform has three core roles. An administrator configures surveys, channels, escalation rules, branches, and users across the whole estate. A branch manager sees their own branch — its CSAT and NPS trend, its open recovery tasks, its per-counter and per-agent scorecards — and owns the follow-up on low scores. An agent sees their own performance and the feedback tied to their counter, which makes coaching concrete rather than anecdotal. Each role sees exactly what it needs and nothing it should not, which keeps customer comments appropriately controlled.

How long does deployment take?

A single-branch pilot — one branch, MAGNO terminals at the busy counters, two or three survey templates, one or two languages — typically goes live in 2 to 3 weeks: roughly 1 week of discovery (touchpoint mapping, survey design, escalation policy, channel mix), 1 week of configuration and terminal install, and 1 week of UAT and branch-manager training. Multi-branch rollouts add about 1 week per wave and reuse the survey templates and escalation rules from the pilot. Custom MAGNO hardware lead time is typically 4 to 6 weeks; existing tablets and screens can be used in parallel while terminals are produced.

How does it scale across a large branch estate?

The platform is built for multi-branch operators. Survey templates, escalation rules, and metric definitions are configured once and applied across the estate, so every branch measures satisfaction the same way and reports roll up consistently. New branches are added as configuration, not as a project rebuild — assign the terminals, attach the templates, and the branch appears in the executive dashboard. Whether the estate is a handful of sites or several hundred, the operator gets one league table, one trend view, and one set of recovery queues.

How do we get started?

Request a tailored quote on our contact page — or open the ROI calculator on the pricing page to project the value of catching detractors early before talking to sales. We typically begin with a discovery call (your branches, your touchpoints, your channel mix, your languages, your escalation policy), follow with a fixed-scope pilot at one branch, and scale from there. Reseller and white-label arrangements are available through the Zeour partner network across UK, EU, Americas, GCC, MENA, Africa, and Asia.
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Glossary

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