Unimatch

The uniqueness of this application, compared to similar ones discovered during the benchmarking phase, is the ability to enter the credits earned during the undergraduate degree and personal aspirations into the profile, so that the system can calculate the compatibility of this information with the characteristics of the listed master’s programs. Once the information is entered into the profile, Unimatch presents the list of master’s programs with their compatibility marked by a symbol: green, yellow, or red. In the case of non-maximal compatibility (yellow or red), the application summarizes and shows the missing requirements to access the master’s program in question, in case the student wants to recover them and apply. Otherwise, the system can also function as a filter, allowing the student to focus directly on the master’s programs with maximum compatibility (green). In cases where there are multiple compatible master’s programs with the student’s profile, the system allows them to compare them side by side (up to a maximum of three, showing only their main information) to make both the search and the selection more efficient and faster.

The prototype

On the homepage, you can log in and enter your bachelor’s degree credits as well as your aspirations using chips. With this data, the portal’s algorithm will calculate the compatibility levels with the master’s degrees listed on the main page.
The cards display general information about the faculties, but by clicking on one, you can read the details useful for a new student.
The “compare” function allows you to view the information of up to three faculties side by side, helping you choose the one that best matches your needs. The information includes tuition fees, academic periods, study plans, language, admission requirements, and more.

The resources

Team

3 people

Tempo

About 3 months

The process

Benchmark and user research

The project started with a thorough domain analysis phase, which included both a competitor research and a series of interviews conducted with various university students, professors, and career guidance psychologists.

Personas

The data was collected and synthesized into models to understand how different users might interact with our application and what distinguished them in terms of needs and requirements.

Conceptualization, Ontologies, and Taxonomies

Other models were created to gather the various requirements that our application needed to have. The requirements were derived by analyzing the user stories that emerged from the personas.

Prototype

The solution was materialized in an interactive prototype created with Figma.