The development of an appointment booking system for Reisa Spa

Reisa Spa previously relied on social media and manual logbooks to manage customer appointments, resulting in inefficiencies such as data redundancy, booking conflicts, and difficulty retrieving customer information. This project aimed to design and developed an appointment booking system to improve operational efficiency, data accuracy, and user experience for both staff and customers.
The system was developed using the Adapted Waterfall Model, comprising planning, analysis, design, implementation, testing, and documentation phases. It features modules for customer self-booking, staff scheduling, admin reporting, automated reminders, and real-time status updates. The design was informed by user requirements and guided by Expectancy Theory of Motivation to enhance usability and system satisfaction.
Evaluation through expert and user testing confirmed the system's effectiveness. Results showed increased booking convenience, reduced staff workload, improved appointment accuracy, and enhanced service experience. Usability evaluation indicated high satisfaction, with users rating interface design, navigation, and system reliability favourably.
In conclusion, the project successfully delivered a centralized, user-friendly platform that streamlines appointment processes for Reisa Spa. It demonstrates how small-scale wellness businesses can leverage digital solutions to eliminate manual inefficiencies and improve overall service quality.