Quality Requirements
The following quality requirements for the web application need to be considered to ensure it meets the desired standards
i. Security
Implement robust authentication mechanisms, including Azure AD Single Sign-On (Not in MVP), and secure password reset functionalities.
Ensure data encryption at rest and in transit to protect sensitive information.
Regularly perform security audits and vulnerability assessments.
Comply with GDPR and POPIA data protection regulations (not in MVP).
Implement strict access controls to ensure data segregation and privacy.
ii. Performance
Ensure fast response times for user interactions, with specific benchmarks for loading times and API responses.
Optimize the system to handle concurrent document uploads and AI queries efficiently.
Implement caching strategies to reduce latency and improve data retrieval speeds.
Monitor and manage system resources to prevent bottlenecks during peak usage.
iii. Reliability
Ensure high availability with minimal downtime through the use of reliable hosting services and infrastructure (not in MVP).
Implement redundancy and failover mechanisms to handle hardware or software failures.
Maintain consistent performance under varying loads to ensure system stability (not in MVP).
iv. Usability
Provide an intuitive and user-friendly interface for both regular and admin users.
Ensure accessibility for users with disabilities, following WCAG guidelines. Read more.
Offer comprehensive user documentation and help resources (not in MVP).
Provide clear and informative error messages to guide users in case of issues.
v. Scalability
Design the system to scale horizontally and vertically to handle increased loads and growing user bases.
Utilise cloud infrastructure capabilities to dynamically allocate resources based on demand.
Ensure that the system can accommodate additional features and integrations in the future without significant redesign.
vi. Maintainability
Follow best practices for code organisation, documentation, and version control.
Ensure modularity and separation of concerns to facilitate easier updates and maintenance.
Provide thorough documentation for the codebase and system architecture.
Implement automated testing and continuous integration/continuous deployment (CI/CD) pipelines to streamline development and deployment processes.
vii. Accuracy
Ensure high accuracy in document analysis and AI responses by continuously refining and updating AI models.
Validate and test AI outputs regularly to maintain reliability and trustworthiness.
Provide mechanisms for users to report and correct inaccuracies, feeding back into model improvement processes.
viii. Compliance (not in MVP)
Ensure compliance with relevant legal and regulatory standards, including GDPR for the UK and POPIA for South Africa.
Maintain audit logs and data retention policies to meet compliance requirements.
Implement consent mechanisms and transparency about data usage and retention policies.
ix. Interoperability
- Ensure seamless integration with Azure services (Azure AD -Not in MVP-, Azure Document Intelligence, Azure Open AI) and external email servers.
x. Extensibility
Design the system to be easily extendable with new features, modules, and integrations.
Ensure that new components can be added with minimal impact on existing functionality.
Provide clear extension points and APIs for adding new capabilities.