WW Fit
First place winner of an employee hackathon at WW (Weight Watchers). WW Fit uses motion technology to provide feedback, text and voice, as a person exercises.
Team: 2 Product Designers, 2 iOS Developers
Tools: Figma
Duration: 3 days (employee hackathon)
My Role: From exploration of ideas to the final presentation, I worked with a Senior Product Designer and two iOS Developers to complete and present this project as part of a internal hackathon at WW (Weight Watchers).
The goal
The hackathon had one major rule. The teams had to produce a working solution, not simply a presentation deck, by the end of the three days we had for the hackathon. As a team we knew we wanted to explore different technologies such as motion tracking and go beyond what our day to day looked like at WW.
Defining and understanding the problem
The current approach at WW ensures that people tackle weight loss only through eating habits. By doing online research about the fitness market, it was evident that WW was not fulfilling the needs of those who want a more holistic wellness journey, not only focusing on eating habits but on exercise as well.
User reviews of the WW fitness experience
Exploration of ideas
To understand more about what the fitness landscape looked like, the other Designer on the team and myself, did a bit of competitive analysis by looking at other fitness apps and their offerings. We used FigJam to quickly put together some low fidelity screens and share our ideas with the Developers. This exercise allowed us to clearly communicate our ideas and move forward.
WW Fit - Low fidelity explorations
Iterations
To have a simple yet powerful fitness app, I worked on different components to show progress during the workout and on integrating the current WW coaches and cross-selling through the WW Shop.
Visual arrangement of components
WW Fit
The app uses an iPad camera to track body motions as person exercises. The app provides the user with real-time feedback to help improve form and ensure the user is getting the most out of every workout.
Presentation of the project
The prototype was extremely well received, garnering lots of positive feedback the product team during our presentation. Leadership loved how we pushed the boundaries on tech as well as thought through the entire lifecycle of the product and how we could target a new segment.
Future state vision
1. 3D body posture analysis (right now it was using 2D due to time constraints)
2. Leverage AI analysis to analyze proficiency and recommend personalized workouts
3. Additional fitness and wellness content such as articles, workout plans and more.
4. Accessibility across different devices, screen mirroring, apple tv, desktop, web.
5. Using motion capture to bring people into an AR world.
6. Coach live virtual events. Work out together with the coach and with the other members in the same “room”. Coaches can give real-time feedback vs. feedback from AI.