Mojio · Lead Designer

Mobile Pet Tracking

Mobile app design for a T-Mobile pet tracking product built on Mojio's connected car platform.

Mobile Pet Tracking

Peace of mind for furry family members

At Mojio, our partner T-Mobile wanted a pet-tracking solution built on our connected car telematics platform.

The idea: give pet owners peace of mind with real-time location, activity monitoring, and geofence alerts, all in a mobile experience.

As principal product designer, I guided the design process from research through high-fidelity prototypes.

Pet tracker app screens

From insights to app architecture

We started with 7 user interviews (dog and cat owners with mixed IoT experience). Their stories shaped our three pet-owner personas, highlighting pain points such as setup complexity, battery life, and the anxiety over lost pets.

To ground the experience, I led card sorting studies with 20+ proposed features. The result: five intuitive categories that became the backbone of our app IA. From there, I mocked up dashboard concepts and tested them guerrilla-style, literally walking across the street to a coffee shop for quick usability feedback.

Pet tracker research

Pet Profiles

The app architecture balanced pet profiles, activity tracking, and health features, while reserving more complex scheduling and controls for mobile/web.

Pet tracker app architecture

Device Pairing

The final design delivered a fully functioning iOS and Android app: onboarding flows, customizable dashboards, and notifications tuned for peace of mind. Stakeholder feedback was positive, and the app was technically ready.

Pet tracker app architecture

Other Features

The final design delivered a fully functioning iOS and Android app: onboarding flows, customizable dashboards, and notifications tuned for peace of mind. Stakeholder feedback was positive, and the app was technically ready.

Pet tracker app architecture

An app ready to launch

The project proved the viability of extending Mojio's platform beyond cars, and sharpened my skills in consumer IoT, user research, and translating hardware constraints into simple, reassuring software experiences.