Overview

An important focus of my work has been the creation of a service that provides users with all the necessary information to prepare for medical tests. Although the project is in its early stages, its potential is immense.

Based on the MVP (Minimum Viable Product), we plan to develop features that will allow users not only to access the interpretation of test results but also to conduct a comprehensive assessment of organ health. This system will analyze medical check-up results, aid in identifying potential disease risks, and provide personalized recommendations for prevention.

Goal

Our goal is to create an intuitive and valuable tool that enhances users' awareness of their own health. It encourages more active participation in health management and expands the possibilities for making informed decisions. Every aspect of the project is developed by an interdisciplinary team of specialists, including designers, physicians, and data engineers, to ensure information reliability and a comfortable user experience.

My role

As the head of the design department, my role was to:

  • Responsible for the entire process of interface development
  • Conduct in-depth user interviews
  • Highlight the core functionality for the MVP (Minimum Viable Product)
  • Prepare low-fidelity wireframes to present the concept
  • Develop a visual concept
  • Verify all user journeys
  • Conduct usability tests
  • Present and defend the solution to stakeholders
Prototype

After defining the MVP functionality, I began creating a low-fidelity prototype and developed all the user scenarios based on research

We presented the interface to users, defended the ideas to stakeholders, and began the search for a visual concept.

Design

We designed an MVP of the product to gather an initial audience and test several hypotheses

My team and I have designed a huge number of new services and screens, which in the process of development.

I conducted in-depth interviews with several respondents to test our hypotheses. We learned how Medsi patients take care of their health, understood their motivations, and discovered that users are interested in risk prediction features with the new functionality