OneTutor

Three questions to the project team

What was the particular challenge of the project from a UX point of view?
The information architecture was not yet defined, and the user flow was unclear. The goal was to generate quiz questions based on course topics. However, a university course can cover 10 topics, or just as easily 50, depending on perspective. Topics can be structured linearly, hierarchically, or as interconnected networks. Some lecturers want to keep things very simple, while others want a fully advanced setup. The challenge was to organize the course structure in a way that stays simple while still being powerful.

What was your personal highlight in the development process? Was there an aha!-moment, was there a low point?
Three people with different backgrounds approached the initial UX problems in different ways. One used pen and paper to sketch rough drafts, another started with UXPilot and generated 20 wireframe mockups at once, and the third used Lovable to quickly create a highly functional prototype. Each approach provided different insights, and converging these three perspectives into a single solution became my aha!-moment.

Where do you see yourself and the project in the next five years?
Our goal is to make the lives of learners and educators better. Learning has not changed for a long time, but AI has the potential to change everything. Our mission is to use the power of AI for good by actively supporting deep learning instead of outsourcing thinking. To achieve this, we build institutional partnerships to collaboratively create the right tools that truly benefit learning, uphold academic integrity, and deliver exceptional usability, so students want to use them rather than feeling forced to.