SPRY
Crafting an Immersive Virtual Assistance Platform for Patients Undergoing Physical Therapy
OVERVIEW
SPRY introduces a groundbreaking approach to physical therapy (PT) with its advanced AI technology, aiming to transform PT clinics for the future. It envisions making movement health universally accessible, ensuring a healthier, pain-free life for all.
By humanizing technology, SPRY offers personalized musculoskeletal (MSK) services, striving to bridge the gap between physical therapists and patients through automated and individualized solutions. Its mission is deeply rooted in the belief that every person deserves personalized healthcare, pushing the boundaries of innovation to humanize technology in healthcare
CHALLENGES
STRATEGY
In the Spry Movement App, the exercise module was one of the biggest and most important modules to crack. The real success of the app was dependent on whether the users would adapt to this way of exercising. And that's possible only when users find real-world confidence in the virtual trainer. Therefore, we divided the Exercise module from the rest of the portal design and dedicated Phase 1 to the exercise module design.
UX Design & Approach
01
Requirement gathering and project debriefing
Stakeholder's interview and exercise
User journeys and flows mapping
02
The below steps were defined:
Preliminary check
Exercise categories
Tracking parameters
Live environment design
Feedback mechanism
User journeys and flows mapping
03
Virtual assistance (exercise) design
Cases identification such as exercise posture errors, success, qualitative feedback
Information architecture for exercise
04
Supporting modules
Information architecture for onboarding, timeline, status, calendar, profile section
Design of other supporting modules like profiles, accounts & therapy management
05
UI Design
Design system and UI component design
Exercise categories
UI design and final mockups
SOLUTIONS
SPRY reimagines physical therapy through AI-driven motion tracking and real-time feedback. The solution enables users to perform exercises with confidence by analyzing posture, movement accuracy, and performance metrics, while providing clinicians with actionable insights
Posture cases and design thinking
The platform digitally maps the user's skeleton and the movement points to identify the degree of exercise correctness. We identified six matrices using which we can signal a user whether they have maintained the correct posture.
The metrics were: - Angle, Direction, Motion/Speed, Distance, Arcs, Rhythm
