BrainBody x EQUINOX
B2B Interaction Design | Apple iOS
BrainBody is a white label B2B machine learning platform that measures cognitive activity during exercise and makes personalized exercise recommendations to improve brain health. This product is a mobile app that pairs with a wearable fitness tracker.
Competitive/Comparative Analysis, User Interviews, Feature prioritization, Sketching, Wireframes, Prototyping, Usability testing
Joanna Skora Aaron Ullman Kaye Kagaoan
Project Lead UX/UI Designer
Introducing Dr. Wendy Suzuki
The Brains behind BrainBody
Machine learning for better health
Dr. Wendy A. Suzuki is a Professor of Neural Science and Psychology in the Center for Neural Science at New York University.
Dr. Suzuki is best known for her extensive work studying areas in the brain critical for our ability to form and retain new long-term memories. More recently her work has focused on understanding how aerobic exercise can be used to improve learning, memory and higher cognitive abilities in humans. Wendy is focused on using machine learning to uncover more data on this and how to help people prescribe the right exercise for them to improve their focus, memory, and even creativity.
Defining the user
We sourced a set of users from both Dr.Suzuki’s network and our own to better understand people’s exercise and gaming habits. I conducted over 30 in person and remote interviews with interviewees to get a deeper understanding of what drives them to exercise and what would incentivize them to take an extra step to developing better habits.
We defined 2 personas.
The user who engages in exercise often to maintain long-term health beyond physicality and keeps track of her health with a wearable.
The user who wants to have a better exercise routine, and needs more incentive to keep his expensive gym membership. He uses his phone everywhere and enjoys games.
Cognitive task flow & reminders
We decided during a design studio with stakeholders that the focus should be to integrate a pre-workout task in the MVP. This decision was based on the fact that users would need to develop a new habit by engaging in a pre/post workout task. It was important to consider the users schedule and existing habits and what would incentivize them. Research showed that people kept calendars and reminders to organize their busy lives. Keeping this in mind, we gave users the option to schedule push notifications and reminders if they could not participate right after booking a class, otherwise they could get started immediately.
Cognitive task flow
Keeping it simple for users
Research indicated that users were less likely to engage in the task if it felt like a test. We used a gamification aspect and kept the task short (under two minutes) to leverage tracking focus based on the completion of the given task. For this, we used the Stroop effect which is a task used in cognitive psychology to demonstrate interference in reaction time.
We used MAZE to gain actionable insights when testing with users. 100% of our users were able to complete the given tasks
We iterated to improve CTA’s and information hierarchy to remove confusion during the task flow and leverage the start of a pre-workout task right away.
Increase in percentage of users tracking cognitive function
Increase in engagement with the EQUINOX app
Users displaying more habitual exercise habits
As this is a B2B learning machine, the hope is to customize this feature for other partners and pair it with a wearable fitness tracker. Since all users were able to complete the given task, we would like to conduct more research to further develop the MVP. Users also indicated they would like to have full day/time customization, and potentially be able to compare their personal progress over time.