This was a semester-long project as a part of my specialized UX Design Course where I chose to redesign the process of booking a doctor’s appointment for Mount Sinai Hospital in NYC using a design system created by me.

About Mount Sinai

Mount Sinai is New York City’s number-one hospital chain with eight hospitals around the city. As someone who has always been interested in the medical industry, I knew working on crafting the right flow for booking an appointment is a vital part of our society, and must be accessible and easy for every demographic, therefore, would be a great design challenge.

For this course, I specifically wanted to select a service that holds the importance of accessibility, but has a process that I notice can be simplified for all. So, not a lot of digital services requires as much accessibility and ease like digital healthcare.

I noticed that the Mount Sinai website, and being New York City’s most popular hospital chain was confusing even for me, a Generation Z tech student. From then onwards, I conducted surveys from 40+ people, all ranging in different ages, technology usage level, medical history and more to understand the real problems and desires for digital healthcare.

After research, it was evident that one of the main problems surrounded navigation, and personalization.

Approach

Through navigation analysis, competitive research, user surveys, and iterative prototyping, I independently redesigned key areas of Mount Sinai’s website to address pain points in user navigation, simplify CTAs, and introduce a personalized patient-doctor match quiz.

How was this achieved?

• Analyzed Mount Sinai’s existing navigation structure, CTAs, and decision points to identify sources of user confusion.

• Conducted a competitive analysis of leading NYC hospital websites to uncover best practices and common UX gaps.

• Mapped insights from both analyses into a journey map, surfacing pain points like unclear filtering, redundant CTAs, and inconsistent intent cues.

• Led a survey of 30+ people across various demographics to understand user priorities when selecting a doctor, informing the structure and flow of the match quiz.

• Proposed and designed the patient-doctor match quiz to guide users through tailored choices based on their priorities and medical needs.

• Built a small design system using atomic principles to support consistency across multiple screens.

• Designed low-fidelity and high-fidelity prototypes in Figma, delivering the final solution, which earned an A+ on the project.