Business problem
A rigid, impersonal experience that failed to adapt to the individual needs of patients led to low engagement and decreased confidence in remote rehabilitation. Limited communication between patients and clinics created friction, hindering adherence to rehabilitation plans, negatively affecting patient outcomes, and consequently, retention.
Failed hypothesis #1
Video exercise demonstrations would be sufficient to perform movements correctly.
Failed hypothesis #2
Automated reminders and notifications would improve appointment attendance.
Failed hypothesis #3
One-size-fits-all AI personalization.
The Build vs. Band-Aid Choice
I defended 4 months additional development and new technical infrastructure against leadership's preference for quick wins.
Why this was controversial
Required convincing skeptical medical teams, additional budget, and regulatory compliance considerations when competitors were launching faster solutions.
The AI Ethics Stand
Called for clinical oversight for all AI exercise modifications instead of fully automated adjustments, maintaining human judgment in medical decisions.
Why this was controversial
AI development was delayed, operational costs grew due to clinical reviews, and tech teams pushed back, favoring scalable automation over manual oversight.
Apr
Medical team feared AI would replace them → I designed research to prove AI enhances clinical expertise.
May
Stakeholders wanted to skip testing for faster launch → I defended user validation despite external budget pressure.
Jun
Stakeholders resisted design changes → I used data from 41 users to justify interface redesign.
Jul
Developers wanted to build basic notification system → I advocated for conversational interface despite delay.
Aug
AI couldn't distinguish between different injury types → I created user-input overlays to contextualize recommendations.
The Atomic Research Method
Traditional research often gets buried in reports or distorted by bias, breaking the link between user feedback and design decisions. This approach helped build trust with stakeholders skeptical of both AI and design.
No More Missed Appointments
We designed an AI-powered flow that let patients confirm, reschedule, or cancel appointments via an AI assistant, reducing no-shows and giving them greater ownership of their recovery.
Move, Measure, Improve
We used an AI motion-tracking assistant to deliver real-time feedback and personalized session summaries, keeping patients informed, motivated, and progressing.
Increase patient retention by 15% over the next 12 months, ensuring higher adherence to rehabilitation.
Achieve a 10% reduction in missed appointments within the first six months of product use.
Improve patient outcomes and consequently increase the credibility of the platform.