This report analyzes the system analysis and design of a cloud-based health record system for the Headspace organization, which manages young patients with mental illnesses. The report begins by outlining the non-functional requirements, including functionality, usability, reliability, performance, and security. It then contrasts these with functional requirements, emphasizing authentication and summarization capabilities. The strengths and weaknesses of cloud-based solutions, particularly hybrid clouds, are discussed, followed by an examination of the Software Development Life Cycle (SDLC) approaches, specifically predictive and adaptive methodologies. The report recommends the adaptive approach for the Headspace project, concluding with a summary of the key findings and a list of references.