📌 Project Scope
Timeline: 6 months (research to rollout)
Team: 1 Lead Designer (me), 1 UX Researcher, 2 Engineers (integration support), PM stakeholder support
Tools: Sketch, InVision, Zeplin, GitHub
Deliverables: Component library, documentation site, onboarding materials, training workshops
🔍 The Challenge
Abbott Diagnostics serves a wide range of enterprise users in clinical labs, where the stakes are high and workflows are dense. But across its diagnostic software platforms, UI fragmentation had become a growing problem. Each product looked, felt, and behaved differently. This created longer onboarding times, higher cognitive load, and inconsistent experiences for healthcare professionals who needed reliable, fast tools.
Abbott needed a unified design system to align branding, streamline workflows, and accelerate development. But this wasn’t just about consistency—it was about creating a scalable system that worked for complex, high-stakes data environments.
🚀 My Role
As Lead Designer and Creative Director, I owned the end-to-end strategy and execution of the AlinIQ design system. I:
Conducted design audits across product platforms
Defined the visual and interaction language
Designed modular components in Sketch and InVision
Collaborated with product, engineering, and clinical teams to ensure alignment and feasibility
Built the documentation library
Delivered internal onboarding, training, and rollout support across teams
📈 Audit & Research
We began with a deep audit of over 100 screens across AlinIQ Analytics, BIS, AMS, and Workflow. Each product had its own UI logic, even when solving similar problems—causing usability friction and increasing cognitive load. In fact, 70% of screens lacked standardized components, leading to longer onboarding and wasted engineering time due to re-creation of similar UI elements.

Our audit revealed over 70% of screens lacked standardized components—leading to longer onboarding, visual inconsistencies, and wasted engineering effort.
We conducted interviews and shadowed lab professionals in real workflows. Through that research, we learned:
Staff often kept handwritten notes to bridge gaps between tools
Inconsistent interfaces made it harder to spot diagnostic patterns
Development teams were building the same things from scratch in silos
We also benchmarked industry leaders—studying Google’s Material Design, IBM’s Carbon, and Shopify’s Polaris—to ensure our system was scalable, accessible, and well-documented.

Studied industry leaders like Material Design, Polaris, and Carbon to learn best practices for scalable component libraries
UMS Flow

Redesigned UMS diagnostic flow—mapping ordering patterns, filters, and visual roll-ups to support real-world lab decision-making.
⚖️ Design Strategy & System Architecture
We grounded our strategy in atomic design principles to enable speed, scalability, and clarity. By treating every design element—from buttons to dashboards—as modular, reusable building blocks, we created a system that could scale seamlessly across platforms, teams, and use cases.
This approach allowed us to:
Speed up cross-team development and design cycles
Reduce redundant UI specifications by over 60%
Empower engineering teams to build with fewer dependencies and greater consistency
Our system was also designed to meet critical product and organizational needs, including:
Multi-platform compatibility (desktop, tablet, mobile)
Built-in WCAG AA accessibility standards
Alignment with Abbott’s branding, development velocity, and regulatory compliance requirements
Grid System

Foundational grid layouts across desktop and tablet platforms—establishing spatial harmony and consistent layout rules for AlinIQ applications.
Global Navigation

Primary and secondary navigation patterns designed for cross-app consistency across BIS, Workforce, and Insights modules.
Platform Navigation

Systematized left-rail and global navigation for scalable platform use across different user roles and product tiers.
✏️ Design Process
To build a system trusted by both lab staff and engineers, I led a highly collaborative, principle-driven process:
Defined guiding principles focused on clarity, simplicity, and brand trust
Created modular, reusable components tested for real-world feasibility
Documented everything through dual tracks:
Style — visual standards, tokens, spacing, branding
Usage — interaction patterns, do’s & don’ts, accessibility guidance
Ran iterative usability tests with clinical users and engineering to refine patterns
Delivered onboarding workshops, reference kits, and change logs to support scalable adoption
🌟 Design Foundations: Atoms
We built out base elements with accessibility, medical clarity, and reuse in mind. Each was versioned and documented with rationale.
Colors: AA-compliant brand palette with clear hierarchy for UI and data visualization
Typography: Work Sans and Roboto type systems mapped for desktop and mobile
Buttons: Primary and secondary styles with hover states and icons
Inputs: Standardized fields, dropdowns, checkboxes, and datepickers
Filters: Multi-layered filtering that supports complex queries
Pagination, Tabs, Labels, Iconography: Designed with consistency and clarity in mind
Colors

AA-compliant brand color palette with visual hierarchy for UI, data visualizations, and supporting elements.
DS Color

Expanded color rationale showing how we mapped semantic meanings to functional UI roles—warnings, confirmations, neutrals, and highlights.
Typography

Work Sans and Roboto type systems mapped across desktop and mobile editorial experiences.
Buttons

Primary and secondary button styles with hover states, icons, and accessibility guidelines.
Inputs

Standardized text fields, dropdowns, checkboxes, and datepickers to reduce learning curve across platforms.
Pagination

UI pattern for consistent date navigation—scaling from week to year views.
Filters

Multi-layered filters enabling complex queries while retaining scannability and hierarchy.
Iconography

Atomic-level icon system supporting navigation, data sorting, and action indicators.
Tabs

Active tab behavior and hover interactions designed for platform-level visibility and clarity.
Labels

Tag-style labels for filtering, metadata clarity, and accessibility.
📊 Components in Context
We turned atomic building blocks into high-functioning organisms:
Cards: Data summaries, visual roll-ups, and progress indicators
Data Tables: High-density, editable tables with smart filters
Visualizations: Styled line graphs and histograms for diagnostic clarity
Cards

Dashboard card templates: data summaries, progress indicators, and visualization-ready layouts for analytics and diagnostics.
Data Tables

Multi-purpose data tables with editable fields, filters, expandable rows, and pagination designed for high-density content use cases.
Data Visualizations

Line graphs, histograms, and scatter plots styled with standardized spacing, annotations, and color logic for clinical clarity.
To bring the design system to life, we embedded reusable components into real enterprise workflows. These examples show how atomic principles translated into consistent, user-friendly interactions across clinical dashboards.

Used in appointment scheduling and test result filtering. Designed for clarity and speed with built-in accessibility states.

A core filter interaction for time-based reporting tools. Visual clarity was prioritized, with hover feedback and semantic focus.

A more advanced interaction for power users needing to track multiple KPI windows simultaneously. This design balanced complexity with clean, flexible UI patterns.
Each of these modules reused tokens, spacing, icons, and interaction states defined in the core design system. The result: less design and engineering overhead—and more time saved for users under pressure.
🔊 Voice & Tone
Voice and tone guidelines ensured all interactions—from error states to tooltips—reflected Abbott’s ethos: clear, human, and professional.
Voice & Tone

Voice and tone system aligned with Abbott brand: friendly, helpful, and clear—critical in medical software communications.
Summary Data Visualization

Histogram templates that adapt to 21:9 and 16:9 displays while preserving legibility, hover insights, and actionability for lab decision-making.
🧩 Real-World Application: Presentation Builder Flow
This flow showcases how our design system supported a complex enterprise interaction—helping users assemble custom KPI reports from large data dashboards.

🔁 Reusable Design Patterns in Action
We applied system-standard components like dropdowns, tooltips, drag handles, and progress indicators to ensure consistency and reduce development lift. Because these patterns were already documented in our system, engineers could implement them easily while maintaining cross-platform consistency.
The Presentation Builder Flow demonstrates how our design system enabled scalable enterprise UX.
We reused modular components—dropdowns, tooltips, drag handles—across platforms, reducing engineering lift and preserving consistency.
🏥 Designed for Enterprise Users
This feature supported clinical and lab operations teams responsible for sharing insights across departments. These users needed a streamlined way to:
Add relevant charts to a presentation deck
Control the export order
Choose between PDF or PowerPoint formats
This interaction was tailored for lab managers handling data-intensive tasks under time constraints.
The flow was built to balance speed with accuracy, accommodating complex team workflows without sacrificing usability.
I designed a persistent “Presentation Tray” that supports multi-selection, shows real-time progress as items are added, and allows for drag-and-drop reordering before export. This minimized redundant clicks while still supporting high-stakes precision.
🤝 Cross-Functional Collaboration and Iteration
We co-created this flow with product, engineering, and clinical stakeholders across global teams. Usability testing surfaced key pain points—like reorder confusion and unclear export feedback—which we addressed through animated status messaging and simplified interactions.
The flow itself was designed for clinical users who export KPI dashboards—balancing precision and ease. Through iterative testing and cross-functional input, we refined logic, added visual feedback, and accelerated rollout.
“This fixed what used to take me 3 steps,” said a clinical user in Frankfurt.
These small touches made the story more human—and the system more relatable.
🔄 Iteration & Refinement
We used feedback loops and working sessions to test everything from icon sizing to form padding.

✅ Outcome
Replaced ad-hoc UI decisions with a strategic, research-backed system
Reduced redundant UI specs by 60%
Cut new product dev time by ~25%, and dashboard build time by 50%
Shortened onboarding and reduced UI-related support tickets
Standardized accessibility and embedded inclusive design practices from the start
Empowered cross-functional teams to build faster—with consistency and confidence
More than just a component library, AlinIQ became a force multiplier—accelerating delivery, reducing errors, and improving the experience for the people who matter most: medical professionals on the frontlines.