I worked on this project to test my skills by tackling a specific problem scenario: designing an app for health self-diagnosis. The goal was to create a proof of concept for a solution where users provide their basic data and symptoms to receive a possible diagnosis. The app would then suggest widely accessible medications or propose an appointment with the local GP.
TIMEFRAME
July 2020 → 48-hour time limit
TOOLS
Figma
Google Surveys - quantitative research
DISCIPLINE
UX research
UX design
UI design
Writing down initial thoughts (part of the brand sprint) to gain insight into the problem and explore solutions (using the golden circle rule).
Preparing the most important KPIs for the MVP version to measure if the solution aligns with user needs.
Based on the most common user personas identified during competitive analysis, I sketched a simple flow showing the typical ways users achieve their goals.
Analyzing the most popular competing apps by building user flows from screenshots, evaluating features, and identifying the most optimized workflow.
I conducted a brief survey to interview potential users. I surveyed 49 people between the ages of 20 and 50, representing diverse industries and lifestyles. The primary objective was to validate various features and user needs.
Based on the previous exploration, I prepared an MVP scope that includes additional features for future releases.
The main goal was to create a general overview using low-fidelity wireframes. These wireframes would show how the app should guide users through the three main scenarios for the proof of concept:
Using the Ant Design library, I created high-fidelity wireframes, and prepared an interactive prototype in Figma. This allowed me to conduct initial usability tests with potential users.
For the final presentation of the product vision, I prepared the UI for key feature screens.
