Secondary research, Idea, Qualitative Research, Wireframe, Prototype, Usability test
Since 2019, the world has been coping with COVID-19, and people were advised to stay at home to avoid the virus spreading. Consequently, working from home turned out to be the best option, and many organisations had to adapt to remote work in a short period. This massive shift became a perfect moment to analyse the effects of working from home on people. Although it has many benefits, it also brings struggles such as related to mental health. Therefore, Mindbreaks is an idea of an app that helps to balance the workers home routine.
When the user first signs in to the app, it will ask questions about their routine during the working days. This opening stage is essential for Mindbreaks, which is a machine learning app. It needs to collect data to give suitable recommendations, tips and plans to each user.
There were questions about user’s working days, working hours, sleeping hours, what they do before and after work, Lunch breaks and Goals. Also, in this step, the user learns how to add short breaks throughout the week.
As soon as the user completes the setup, they will be able to add or edit the breaks and activities recommended by the app.
Companies and professionals that are minded-like, such as personal trainers, healthy snack brands and apps that promote mental health, will be able to integrate and promote their products and services on the breaks or activities screen.
The major project: Billy Blue College of Design
Mentors: Debra Hunter, Andy O’Mara, Mariana Alves