2024
BleuDoc: Turning Feedback into Care
Improving the digital health experience for multigenerational users

CASSI is the largest self-managed health plan operator in Brazil, serving active and retired employees of Banco do Brasil and their families. During my initial analysis, I found that users constantly switched between website and app, experiencing recurring frustrations with the digital experience — a unique opportunity for a user-centered redesign with a focus on inclusivity across generations.
My Role
UX Designer & Researcher
Tools
Figma, FigJam, Miro, Notion, Google Sheets, user flows, personas, surveys, user interviews, card sorting, brainstorming, wireframes, prototypes, usability testing
Duration
4 months (July – October 2024)
Independent redesign
The Challenge
How to transform a health plan app that frustrates thousands of users into an inclusive, clear, and trustworthy experience for all age groups?
Three critical areas identified
Confusing navigation: difficulty finding reimbursement, membership card, and accredited network
Complex flows: poorly guided processes causing abandonment and support requests
Low accessibility: design not adapted for users 50+, issues with contrast and usability
The central challenge was to redesign while respecting regulatory requirements, preserving familiarity, but introducing meaningful usability improvements.
User Feedback
I developed a hybrid methodology combining large-scale quantitative analysis with qualitative insights. I collected 1,000 comments from the Play Store and used AI for categorization — processing a volume that would be impossible to analyze manually.
Methodology
Key Insights
67% of negative comments = navigation problems
Reimbursement mentioned over 240 times as top frustration
Offline membership card = most requested feature
Users 50+ = 78% of usability complaints
Design Process
I established four guiding principles: Generational Inclusion, Contextual Clarity, Efficiency without Complexity, and Trust. Navigation was reorganized from 5 to 4 tabs via card sorting based on frequency of use found in the comments.
Technical Foundations
Iterative Process
Layout

Grid
Typography, Colors & Icons

Reimagined Home Screen
An intelligent hub with a universal search field allowing any feature to be found via natural language. Redesigned quick access shows only the 4 most-used features, reducing visual clutter.
Universal search: natural language for any function/service
Account switcher: switch primary/dependents without logout
Quick actions: only 4 most-used features
Optimized Digital Membership Card
Modernized while keeping visual familiarity, with a QR code for providers and offline functionality to meet users’ top request.
QR code for fast scanning by service providers
Offline capability using cached data
Simplified interface: from 6 buttons to 2 (Copy + Save PDF)
Redesigned Reimbursement Flow
Turned a complex form into a wizard step-by-step with visual progress. Each screen shows only necessary information, reducing cognitive load.
Linear wizard: fewer inputs per screen
Real-time validation: prevents common errors
Contextual help: step-specific guidance
Network Search
Reimagined to remove frustration with filters. Auto-completion using participant data and a smart field for natural language.
Auto-fill using beneficiary data
Conversational AI allows natural wording (e.g. “heart doctor” → cardiologist; “near me” → uses registered address)
Toggle List/Map: clear buttons with text
Results & Impact
Implemented improvements led to a significant simplification of main flows, preserving full functionality while drastically reducing cognitive complexity for users of all age groups.
Initial Validation
3 target-age users showed immediate comprehension of new flows, with no confusion about navigation or essential features.
Next Steps
Moving forward, I intend to continue testing and refining the prototype, incorporating real user feedback and expanding features, always documenting learnings to evolve both the design and my professional practice.
In this project
UX guideline document
Design system documentation
Testing with 10+ users representative of CASSI’s demographics
Formal card sorting to validate information architecture
Design of future features: accessibility options, scheduling, personalized dashboard
In case of an official project
Eye-tracking to optimize visual hierarchy
A/B testing
AI-powered search implementation
Offline solution for membership card
Development of new features: scheduling + personalized dashboard
Main Learnings
This project demonstrated the power of large-scale quantitative analysis to identify invisible patterns. Working with real feedback from over 1,000 users provided legitimacy and a clear direction that would be impossible to achieve through manual analysis alone. In the absence of direct access to users — as in proprietary studies — this type of analysis can still provide valuable insights and guide a redesign.
Key Takeaways
Designing for 60+ benefits all users, not just the target audience
UX in healthcare requires special care, with clarity and error prevention
Research-driven design is essential for solid decisions
Inclusive design is a necessity, not a nice-to-have