WeKnow
Redesign of the BI dashboard
Role
Product Designer
Industry
Technology
Context
WeKnow HealthTech is a company focused on Business Intelligence solutions for the healthcare sector, helping hospitals and operators transform complex data into strategic decisions.
The main product was a robust dashboard, with a high volume of clinical, operational, and financial information. However, despite its technical power, the user experience did not match the complexity of the tool:
Visually overloaded interface
Poorly clear information hierarchy
Low scanability
Difficulty in reading and comparing indicators
Not intuitive experience for non-technical managers
The challenge was to redesign the product interface without compromising analytical density while making the system clearer, more efficient, and strategic.
My Role
I worked as a Product Designer responsible for:
Usability diagnosis
Complete redesign of the dashboard interface
Definition of a new visual hierarchy
Standardization of components
Creation of a more scalable visual system
Evolution of the navigation experience
The focus was not only on "making it prettier," but on transforming the dashboard into a faster and more reliable decision-making tool.
Main Challenges
1. High data density
The product needed to display many KPIs simultaneously. Reducing noise without losing critical information was one of the biggest challenges.
2. Different user profiles
The dashboard was used by:
Directors
Healthcare managers
Analysts
More operational profiles
Each with distinct needs and levels of familiarity with data.
3. Inconsistent visual legacy
The system did not have a clear standard for components, spacing, typography, or color usage. This generated constant cognitive friction.
Solutions
Discovery
Even though this was a project with a greater focus on interface, we started with a strategic diagnosis:
Heuristic analysis of the product
Mapping of critical flows
Identification of inconsistent patterns
Identification of cognitive overload
Evaluation of benchmark dashboards in the BI market
Main insights:
The problem was not a lack of data, it was an excess of noise
Lack of hierarchy made strategic indicators invisible
Colors were being used decoratively, not functionally
Components varied too much between screens
Delivery
The work was structured into four fronts:
1. Reorganization of Information Hierarchy
Clear definition of levels (macro → micro)
Visual emphasis on strategic KPIs
Logical grouping of related indicators
Reduction of visual distractions
2. New Visual System
Creation of a consistent foundation:
Defined typographic scale
Structured grid system
Functional use of colors (status, alerts, comparisons)
Standardization of cards, charts, and filters
Definition of spacing and visual rhythm
3. Optimization of Charts and Visualizations
Simplification of legends
Reduction of unnecessary elements
Better contrast for reading
Adjustments to proportion and alignment
Prioritization of more legible charts for hospital context
4. Improvement of Navigation
Clearer organization of menus
Separation between strategic and operational modules
Reduction of unnecessary layers
Better visual feedback for active states
Results Achieved
Significant improvement in the scannability and readability of dashboards
Reduction of cognitive effort in the analysis of strategic indicators
Increased speed of interpretation of critical data
Strengthening of the perception of value and maturity of the product
Creation of a consistent and scalable visual system for future functionalities
Strategic Learnings
In BI products, design is not aesthetics, it is cognitive clarity.
Excess data does not mean value; organization does.
Visual hierarchy directly impacts decision speed.
A good component system reduces design debt and accelerates product evolution.
Trio - Design System
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