A roster-scheduling and task-management app for rotating shared responsibilities, built MVP-first for students and shared households, with room to scale into teams.
Knextt is a roster-scheduling and task-management app built for flexibility. From students balancing study groups to roommates coordinating chores, it simplifies scheduling down to a few taps. For the MVP, the focus is on those groups, with scalability in mind to eventually support individuals and enterprises.
The intention is a genuinely scalable application, able to serve as many rosters and rotating responsibilities as needed. The near-term goal: become the go-to roster-management application for individuals and enterprises alike.
Read the build story →Product Designer, responsible for the end-to-end design, from research and wireframing through to high-fidelity prototyping.
I crafted a user-centric experience grounded in feedback from initial testing, then made the key adjustments that sharpened usability where it mattered most.
A simple, guided process lets users create rosters, assign tasks, and set recurring responsibilities with ease.
Customisable notifications remind users of upcoming tasks, keeping everyone on track and accountable.
A thoughtfully designed UI makes navigation effortless, even for new users, a smooth experience from the very first tap.
Press play to watch the app in action, how each feature comes together to simplify scheduling and task management.
Knextt, mini walkthrough · 4:50
Balancing flexibility with simplicity was the central challenge. A roster tool can do a lot, but more options often mean more friction.
I worked through feedback loops with early users to refine the trickier elements, task rotation especially, making sure Knextt would hold up in real, everyday scenarios rather than just demo-perfect ones.
Knextt is just beginning its journey. The ultimate goal is to become the go-to roster-management tool for individuals, groups, and businesses.
Look out for updates, including enterprise-friendly features and detailed analytics.