CX Tracker: Visualizing Customer Experience Metrics in Restaurant Service Via a Mobile Application

Authors

Nur Muhammad Farhan Ahmad Tagudin

Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch, Tapaj Campus (Malaysia)

Dr. Nur Hasni Binti Nasrudin

Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch, Tapaj Campus (Malaysia)

Samsiah Ahmad

Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch, Tapaj Campus (Malaysia)

Nurkhairizan Khairudin

Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch, Tapaj Campus (Malaysia)

Anis Zafirah Azmi

Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch, Tapaj Campus (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.100500770

Subject Category: Computer Science

Volume/Issue: 10/5 | Page No: 11353-11360

Publication Timeline

Submitted: 2026-05-13

Accepted: 2026-05-18

Published: 2026-06-13

Abstract

In the increasingly competitive hospitality sector, the ability to rapidly synthesize customer experience data is critical for operational success; however, many service-oriented restaurants continue to rely on fragmented feedback mechanisms such as legacy paper forms and unaggregated online reviews. This research introduces CX Tracker, an Android-based mobile application designed to bridge this gap by visualizing real-time Customer Experience (CX) metrics. Utilizing the Modified Waterfall methodology, the system was engineered with a Flutter and Dart frontend and a Firebase backend to facilitate the instantaneous synchronization of data from customer-facing QR surveys to executive-level dashboards. The application focuses on the visualization of three core Key Performance Indicators (KPIs): Customer Satisfaction Score (CSAT), Customer Effort Score (CES), and Net Promoter Score (NPS). User Acceptance Testing (UAT) was conducted with a cohort of 35 participants ($n_{customer}=28$; $n_{owner}=7$). Quantitative analysis revealed high usability and adoption rates, with customers reporting a mean score of 4.32 for QR-based entry and 4.25 for overall satisfaction. Critically, 85.7% of restaurant owners identified specific actionable business improvements via the dashboard's visual analytics. The findings demonstrate that a mobile-first, real-time visualization framework significantly enhances service recovery capabilities and facilitates data-driven managerial decisions in the restaurant service environment.

Keywords

Customer Experience, Data Visualization, Restaurant Service, Customer Effort Score

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