Takeda
Simplifying healthcare analysis through customizable visualizations
Takeda’s Quantitative Structured Benefit-Risk Analysis platform helps statisticians and pharmacovigilance scientists assess the benefits and risks of pharmaceutical products through configurable analyses and interactive visualizations.
Role
Product Design
UX Design
Visual Design
Team
Product Owner
Technical Architect
6 Engineers
3 Designers
Timeline
2022 -2023
Tool
Figma
Jira
Power BI
Product Overview
Problem
“A spreadsheet-like interface made complex healthcare analysis even harder.”
The existing platform relied on dense tables and technical workflows, making it difficult for statisticians to create analyses and for business stakeholders to understand the results.
Example
A 'statistician' evaluating a new treatment had to configure multiple parameters across different screens before generating a benefit-risk analysis.
A 'business user' wanted to understand the results but was provided with technical output that was difficult to interpret.
Opportunity
Turn complex analysis into a guided workflow with actionable visual insights
Redesign the existing platform to help statisticians create analyses faster and enable business stakeholders to understand results through interactive visualizations.
Workflow Discovery
Learning the analysis process before redesigning the experience
Before designing the interface, I worked closely with product owners and technical architects to understand how benefit-risk analyses were created, customized, and shared across teams..
Solutions
Role-Based Dashboard
The initial dashboard established a shared experience for both statisticians and business users, focusing on analysis access, information hierarchy, and key actions.
Through feedback from product owners and engineering teams, we identified opportunities to improve visual engagement and streamline frequently used workflows.
Iteration 1 & 2
For staticticians/ scientist
Enhanced the hero section with clearer metric hierarchy, prioritized actions based on user workflows, and streamlined table management through contextual row-level actions.
Iteration 3
For business user
Restricted administrative actions and prioritized quick access to analyses and visualizations.
Iteration 4
Interactive Visualization Control
Iteration 1
Explored a horizontal filter model with visualization-specific controls placed above the chart. While effective for a small set of filters, the layout became difficult to scale as additional controls reduced the visible chart area and made real-time comparison harder.
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Iteration 2
Introduced a dedicated filter panel with a clear parent-child hierarchy, where visualization type acts as the primary selection and related controls appear contextually below. This improved scalability, preserved chart visibility, and enabled users to see changes instantly while adjusting parameters.
Final Flow of data visualizations
Guided steps for creating analysis
Designed a guided, step-by-step workflow for creating benefit-risk analyses, working closely with technical architects to simplify complex inputs, endpoints, and analysis parameters. Each step was progressively disclosed, allowing users to focus on one decision at a time while reducing cognitive load throughout the setup process
Design System
Bringing consistency and clarity to a spreadsheet-like experience
We established a design system aligned with Takeda’s brand to create consistency across the platform and future products.
The previous experience felt spreadsheet-heavy and lacked visual hierarchy. Standardized components, actions, and layouts made complex workflows easier to navigate while creating a scalable foundation for future growth.
Reflection
Designing complex domain-specific systems starts with understanding the domain itself, and that requires deep collaboration with the people who know it best.
Takeda’s benefit-risk analytics platform introduced me to new medical and statistical concepts. Understanding cohorts, endpoints, and datasets required close collaboration with product owners, technical architects, and domain experts before designing effective solutions.
Implementing visualizations in Power BI required close collaboration with engineers to work within platform constraints while maintaining a consistent visual language across the Takeda design system.
Let's Build
Together
© 2026 Shimona Roy