Soren Mobile App
FOOD SHARING MOBILE APP
The Soren app was a revolutionary solution for customers looking to share their food and split the cost with their friends and family. The goal of this project was to create a mobile application that made the ordering and payment process for shared food orders more convenient and efficient for both customers and restaurants.
As the lead researcher, my role was to conduct user interviews and surveys to gather information about the needs and preferences of the target audience. I used this information to create an information architecture that organizes and structures the information in a logical and user-friendly manner.
Next, I moved on to the design phase where I created wireframes, mockups and visual designs for the app, taking into account all the user research and information architecture. I also built interactive prototypes to test and validate the design solutions.
The Soren app was a user-friendly and intuitive mobile application that met the needs of the target audience. The app featured easy ordering and sharing of food, a payment split option, an integration with the restaurant’s menu and ordering system, user profiles and order history, push notifications for order updates, and rating and reviews for restaurants. This app was designed to benefit both customers and restaurants, making the ordering and payment process more convenient for customers and increasing revenue for restaurants.
Although the project did not proceed to the next funding round, the seed round was very successful and the project was able to gather valuable feedback and insights that can be used in future ventures. The project was a great learning experience and it has provided a solid foundation for future endeavors in the field of food-ordering and payment solutions. The team was proud of what they accomplished and it was a valuable experience that will be valuable for future endeavors.



GE Radiology Software
Multi-display Navigation Analysis of Radiologist Desktop User Interface
As a UXer at UPMC Enterprises + GE Healthcare (NGI: Next Generation Imaging team), I was tasked with conducting a comprehensive eye-tracking study on an underdevelopment GE Healthcare Imaging Product (Centricity System) with the goal of improving patient safety and enhancing the radiologists’ experience. By working closely with Radiology Specialist MDs, representing a diverse range of specialties including abdomen, nuclear medicine, musculoskeletal, and Neuroradiology, I was able to gain a deep understanding of the challenges and pain points radiologists face when using imaging software and EMR.
Using cutting-edge eye-tracking technology, I carefully monitored and analyzed the actions and behaviors of the participating radiologists as they completed a series of assigned tasks. The data collected was then subject to a rigorous statistical analysis, allowing me to identify key areas for improvement and make practical recommendations for redesign. By addressing critical usability issues that could lead to diagnostic errors and making the Centricity System more user-friendly and efficient, I helped to improve the overall experience of radiologists and enabled them to provide better care to their patients.
















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