Visual Interface Workflow Management System Strengthening Data Integrity and Project Tracking in Complex Processes

TL;DR

This paper presents an integrated web and mobile workflow management system that enhances data integrity and project tracking through visual dashboards, color-coded task urgency, and performance monitoring, improving organizational efficiency.

Contribution

The study introduces a novel multi-platform system architecture combining MongoDB, Node.js, React.js, and React Native for managing workflows with visual and real-time features.

Findings

System rated highly for organizational efficiency (4.90/5)

Visual dashboards received perfect usability scores (5.00/5)

User satisfaction was high at 4.60/5

Abstract

Manual notes and scattered messaging applications used in managing business processes compromise data integrity and abstract project tracking. In this study, an integrated system that works simultaneously on web and mobile platforms has been developed to enable individual users and teams to manage their workflows with concrete data. The system architecture integrates MongoDB, which stores data in JSON format, Node.js Express.js on the server side, React.js on the web interface, and React Native technologies on the mobile side. The system interface is designed around visual dashboards that track the status of tasks (To Do-In Progress-Done). The urgency of tasks is distinguished by color-coded labels, and dynamic graphics (Dashboard) have been created for managers to monitor team performance. The usability of the system was tested with a heterogeneous group of 10 people consisting of engineers, engineering students, public employees, branch managers, and healthcare personnel. In analyses conducted using a 5-point Likert scale, the organizational efficiency provided by the system compared to traditional methods was rated 4.90, while the visual dashboards achieved a perfect score of 5.00 with zero variance. Additionally, the ease of interface use was rated 4.65, and overall user satisfaction was calculated as 4.60. The findings show that the developed system simplifies complex work processes and provides a traceable digital working environment for Small and Medium-sized Enterprises and project teams.