Thorugh a data collection from the users calendars, schedules and routine behaviour the app can predict the users daily schedule and suggest transportation opportunities. The suggested transportation helps the user to get to the destination in the cheapest (and/or) fastest way. The way it suggests transports is based on the settings from the user if the user has a public transport plan, private car or bike.
With the data from transportation, we can predict when the user should travel if he wants to minimize the crowd on the transportation. With analyzed data from observations, interviews, surveys, and lots of other resources we developed a UX statement.
Simple wireframes were therefore tested on real users. After a couple of iteration, the wireframes were put together to a more high fidelity prototype. The prototype was then tested while validating the solution towards our UX-Statement.
My role in this project was Interaction designer & GUI designer
Made in collaboration with Per Sonberg, Hedir Saad Khazal & Patrik Lundin
Copyright Simon Turesson