Data Driven UX/UI design for reproductive health tracker

Human-computer interaction (HCI) design seeks to improve the naturalness of user-system interaction. User experience (UX) is important because it tries to meet the needs of users. It is designed to provide a positive experience that connects users to the product or brand. In addition, a meaningful user experience allows us to define the customer journey on the product that best ensures the success of the business. This project focuses on its UX/UI development for an application that is a useful platform for reproductive health monitoring. We used data analysis techniques to guide UX design decisions. A detailed survey was created to help gather data on application preferences and expectations from a large number of potential users. We analyzed collected data sets, using data analysis algorithms to make decisions at different stages of the design process. User personas are often qualitatively developed by UX researchers. Data-driven personas, or personas created using unsupervised methods, can reveal underlying trends and patterns within groups of users. As a result, we are better able to recognize the many user personas that this application is aiming for. The choice of color palette, typography, and other decisions in the design process was made by analyzing user data collected through extensive research. By combining these two technologies, we can create a data-driven user experience.