AION by Nostos Genomics uses AI to speed up genetic disease identification, simplifying analysis and enabling faster diagnoses for quicker treatment.
MVP Design
UX Strategy
UX design
UI design
Feb 2021 - Jan 2022
50+ screens designed, Design Styleguide
In this first stage, my main goal was to dig deeper into the problem of genetic disease diagnostics and the industry status quo. I have talked to the main stakeholders, and our end users and researched all kinds of information on this topic. After that, I gained a deep understanding of user needs and how our MVP is going to make their life better.
Based on the User research insights, together with the Product Manager and a Customer Success manager, we created a product vision that included the strategic roadmap, hi - level UX concepts, and a list of features to include in the product. We then formulated requirements and developed a product strategy that would guide our design decisions. User Needs + Business Goals = List of Key Features & Product Vision.
During the UX/UI design stage I developed the advanced UX for the features, defined within the Product Strategy. I have also created visual elements of the platform, including color schemes, typography, and iconography while ensuring consistency with the brand identity. I established a clear visual hierarchy to emphasize important information and conducted extensive usability testing to ensure that the design was user-friendly and intuitive. My goal was to deliver a design that facilitated easy navigation and increased user engagement with the AI-driven variant interpretation platform.
During the optimization stage, we conducted user testing and gathered feedback from end-users to identify areas for improvement. This feedback allowed us to refine the design and address any issues that arose during testing. We also focused on optimizing the platform's performance, including reducing load times and increasing the speed of data analysis. Through ongoing testing and iterations, we were able to deliver a high-quality MVP that met the needs of our users and provided a seamless experience for genetic scientists.
