The challenge of the platform was to increase interactions of users (students) on our platform. Through investigating the whole journey we identified opportunities and redesigned.
For 1.5 years I worked for Magnet.me as a UX strategist and UI designer. All discussed examples were designed and led by me.
UX research and journey mapping. I started of setting up UX research to get in touch with the users: students.
Through 21 interviews I developed 3 journeys.
Based on these journeys the follwing UX/UI opportunities were identified. Read more about that here.
Make searching (for a job) less daunting. One of the main insights was that students had no idea what to search for. We lowered the bar by giving suggestions based on their study background. This idea was rapidly prototyped and quickly tested by users. And soon followed up with implementation. This design increased searches with 23%*.
Redesigning home. The main sight was that students had no idea what the function of the actions on the platform were (like and connect). Therefore we designed, tested and iterated on an intuitive visual way of explaining and showing 'progress' on our platform. We guided the user through using the platform to their advantage with a 'visibility dashboard'.
On the same interface we experimentated with various recommended job feeds. Technically this was quite intricate with use of advanced recommender systems, and a good collaboration between devs and design was crucial.
Onboarding. We redesigned the onboarding to introduce the functions and platform in a gamified way. We asked started with asking the user what they wanted and asked directly to do interactions. For the user this felt stimulating, clear and interactions went up especially for connections with 200%*. On the back-end design and developers found clever ways to be able to present quick results.
Notification design. Next to the home interface the notifications helped users to be updated on the platform and also to be guided in what actions to take next. The redesign focused on relevant data for the user and not to overwhelm. On the back-end the logic was created for making sure these notifications would work for all edge cases.
*Numbers are not allowed to be published, but give an indication.