Chapter One — 1.1 Background to the Study

The rapid evolution of Heuristic Evaluation Methods has transformed the way organizations design, deploy, and manage ride-hailing applications. As institutions seek to modernize legacy processes, Heuristic Evaluation Methods offers new opportunities to improve service delivery, reduce manual overhead, and respond more effectively to user needs.

Despite this potential, many existing ride-hailing applications were not originally designed with heuristic evaluation methods in mind, resulting in persistent gaps in navigation efficiency that limit their overall effectiveness. This study examines how Heuristic Evaluation Methods can be applied to help close that gap.

1.2 Statement of the Problem

Current ride-hailing applications in many organizations struggle with inadequate navigation efficiency, often relying on manual processes or outdated architectures that were not designed for today's operating environment. Without a structured approach to integrating heuristic evaluation methods, these limitations are likely to persist, exposing organizations to inefficiency, risk, and a poor user experience. This study is motivated by the need to design and evaluate a heuristic evaluation methods-based approach to addressing this problem.

1.3 Objectives of the Study

1. To design and implement a heuristic evaluation methods-based approach to improving navigation efficiency in ride-hailing applications.
2. To evaluate the effectiveness of Heuristic Evaluation Methods in enhancing navigation efficiency within ride-hailing applications.
3. To identify the key requirements and constraints relevant to deploying heuristic evaluation methods in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can heuristic evaluation methods be applied to improve navigation efficiency in ride-hailing applications?
2. How effective is Heuristic Evaluation Methods at enhancing navigation efficiency within ride-hailing applications?
3. What requirements and constraints are relevant to deploying heuristic evaluation methods in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

Beyond its immediate technical contribution, this study offers value to organizations evaluating whether to invest in heuristic evaluation methods for their own ride-hailing applications, and contributes to the broader literature on applied UI/UX design by documenting a concrete implementation and evaluation case.

1.6 Scope of the Study

As a MSc-level study, its scope is confined to designing and evaluating a heuristic evaluation methods-based solution for ride-hailing applications, focused specifically on navigation efficiency; broader deployment considerations fall outside this scope.