Create safe and easy to use connected device experiences for Type 1 and Type 2 diabetes patients
✦ Problem ⋯ How do we help patients manage their therapies and meal management while satisfying Software as a Medical Device (SaMD) regulatory requirements.
✦ Role ⋯ UX/UI designer
✦ Deliverables ⋯ Low to high fidelity designs and prototypes
✦ Tools ⋯ Figma, Sketch, ProtoPie
Project timeline and my place in it
I designed concepts and mobile experiences working closely with systems engineers, an anthropologist, and an iOS engineer. I worked on multiple projects concurrently for the Seattle Device Research & Development group.
My goal was to translate the needs of patients and safety constraints into simple, intuitive, patient-focused solutions.
Tools and skills used
As the sole designer on the team, I covered all facets of the design process. From initial sketches, user flows, visual/UI design, to high fidelity interactive prototypes.
I moved the team from Sketch and Axure to Figma to ease prototyping and handoffs. For higher fidelity motion, I used ProtoPie. As I worked through designs, I cataloged a scalable, design-system.
I championed a more iterative and impact-oriented approach while incorporating diverse inputs for my design decisions: patient needs, company goals and research findings.
It was important to me to get our explorations in people’s hands and to establish a reliable user feedback loop, so we could earnestly rally around easing the burden of living with diabetes.
Enabled by connected insulin pens and continuous glucose monitors OptiDose helps guide a patient to a target insulin dose. Mobile-enabled dose guidance takes into account a patient’s glucose measures to deliver a safe dose determined by an algorithm embedded on the device. Instead of having to call a provider or work off a generic titration plan, patients can get a dose recommendation based on their blood glucose measures at their convenience.
A patient’s daily dose would be determined by a required 3 consecutive fasting blood sugar measures prior to their pre-set injection day.
The OptiDose dose guidance concept would be part of a clinical trial and an FDA Software as a Medical Device (SaMD) submission built for iOS by a third-party.
I redesigned a meal tracking concept based on an initial meal detection algorithm. We knew food logging was a major burden for diabetes patients and that different foods affect patients differently.
The initial goal was to create a smart food log to help patients understand the effects of what they ate and physical activity on their blood sugar levels. The north-star goal was to intelligently autodetect and categorize meals. To pull this off, we’d need a robust, AI-driven solution.
But, to get the concept prioritized, leadership needed to be bought in. My main assignment was a sleek design.
Takeaways and what I learned
While I was deeply motivated by the problem space, I learned I do better on a team focused on delivering directly to users. The fast-moving and evidence-based approach of product design and UX are what I value most about the field. Shipping and working off product telemetry and observed user behavior as a base to my design is important to me—and was the biggest personal takeaway from Novo Nordisk.