Unimed | Multiple data visualization
Mission
Redesign the user experience of accessing patient data in Unimed’s SuperApp, ensuring greater privacy for users under family health plans and improving navigation efficiency throughout the app.
My Contribution
As the Senior Product Designer, I led the discovery process, conducted benchmark research, mapped user flows, and designed high-fidelity prototypes for both the mobile app and the cooperatives’ CMS.
I also performed impact analysis across existing journeys, facilitated co-creation and critique sessions with the squad, and collaborated with the data team to define tracking events for monitoring user behavior and flow efficiency.
Results
New app section enabling each user to control which medical information they wish to share.
Reduced number of clicks required to view data from different plan members.
Fully tagged flow, allowing behavioral tracking and validation of usability hypotheses.
Increased trust and perception of security among users accessing sensitive health data.
Company
Livework São Paulo
Type
Product Design
Year
2021
Process
The project began after identifying discomfort among users sharing the same plan who wanted to keep certain medical procedures private.
Requirements were gathered together with the Product Owner, revealing three key challenges:
Enable visibility control per user within the cooperatives’ CMS.
Simplify navigation between dependents within the plan.
Map impacted screens to maintain consistency across the experience.
During benchmarking, we analyzed apps from banking, social media, and delivery platforms to understand multi-account access patterns. Key insights included:
Simple account switching, usually accessible from the home or profile screens.
The use of avatars and visual identifiers to clarify which account is active.
These findings helped shape a more intuitive and seamless navigation model.
Outcome
The final prototype included:
App flow for selecting patients and setting individual privacy preferences.
CMS flow enabling each cooperative to decide whether to allow user-level data blocking.
During delivery, the new flow was fully tracked to measure:
Average task completion time.
Reduction in the number of clicks.
Adoption rate of the new functionality among family plan users.
The project successfully increased user autonomy and perceived data security while simplifying complex healthcare journeys within a highly regulated context.
