This report provides a comprehensive analysis of the system analysis and design aspects of Headspace's New Access project, an initiative aimed at improving the treatment process for young individuals suffering from mental illness. The project seeks to mitigate the disturbances caused by the continuous narration of patient stories by storing medical data securely. The report details non-functional requirements such as functionality, usability, reliability, performance, and security (FURPS), and evaluates cloud-based solutions, recommending a hybrid cloud for its balance of security and accessibility. Furthermore, the document compares predictive and adaptive SDLC approaches, advocating for the predictive approach to ensure project accuracy and clarity. Ultimately, the New Access project aims to enhance data management and patient care within Headspace, and students can find similar solved assignments and study resources on Desklib.