Interaction Design · AI-Powered Product · Behavioral Design
FlexFit: Fitness that listens to your body.
FlexFit is an adaptive fitness system for people with irregular schedules. It adjusts workout recommendations based on changing time, energy, recovery, and personal goals, helping users stay consistent without relying on rigid routines.
Timeline
Sep 2025 -
April 2026
TEAM
Millie Wu
Ziheng Xu
Role
Product designer
tOOLS
Figma
Cursor
Claude Code
problems
Fitness assumes your day is predictable.
Most fitness products are built around fixed schedules and consistent routines. But lives usually don’t follow fixed plans. This problem is more obvious for those whose time is fragmented like the shift workers. Research has shown that shift workers are less likely to meet recommended physical acitivity.
1%
1%
less likely
Interview
Fitness becomes a negotiation between schedule and capacity.
Interviews revealed two recurring tensions: constantly deciding how to adapt a workout, and the mismatch between what the schedule allows and what the body can actually handle.
Faye
“By the time I finally sat down, I just didn’t have the energy to decide what workout to do. Even choosing between options felt like too much.”
Mira
“When I’m called to the clinic, my plans are thrown off. I know my body needs movement, but I don’t know if it still works to go to the gym.”
Design & iteration
#1. Smart Plan Adjustment
Interviews revealed two recurring tensions: constantly deciding how to adapt a workout, and the mismatch between what the schedule allows and what the body can actually handle.
Faye
“By the time I finally sat down, I just didn’t have the energy to decide what workout to do. Even choosing between options felt like too much.”
Mira
“When I’m called to the clinic, my plans are thrown off. I know my body needs movement, but I don’t know if it still works to go to the gym.”
Results
Here, the outcomes and achievements of the project are highlighted, including user feedback, adoption rates, and industry recognition.
User Retention
The personalized meditation recommendations led to a 30% increase in user retention within the first 3 months of launch.
User Satisfaction
Post-redesign surveys showed a 40% improvement in overall satisfaction due to the app’s more tailored experience.
Engagement
Daily meditation completion rates increased by 20%, as users found the sessions more relevant and engaging.