Business Context & Goals
As the founding designer at Pareto Intelligence, my primary goal was to transform their data solutions into user-centric products. This required reimagining the existing web portal to address pain points and enhance user experience. My approach involved extensive research, collaboration with stakeholders, and the development of a scalable design system that supported the platform’s evolving needs.
25%
Reduction in task completion time
30%
Decrease in user error rates
20%
Increase in new subscriptions
Context
Pareto Intelligence delivers data analytics solutions for major healthcare organizations including Cigna, Humana, and Blue Cross Blue Shield. Their products power revenue reconciliation, risk adjustment, membership analysis, and operational reporting built on massive datasets that directly impact financial accuracy and patient outcomes. When I joined as Lead UX Designer, Pareto had strong data science capabilities but lacked a unified, scalable design foundation. Tools were powerful but visually inconsistent, difficult to navigate, and overwhelming for analysts who needed to move quickly.
My mission: Turn dense healthcare data into clear, reliable decisions at enterprise scale.
The Challenge
Through audits, interviews, and workflow analysis, several key themes emerged that highlighted significant challenges. A lack of practical visualization meant critical insights were buried inside legacy dashboards filled with redundant or unclear charts. Compounding this issue were overwhelming data structures, as healthcare datasets involve multi-year claims, risk categories, payment models, and regulatory frameworks, often presented without a clear hierarchy. Users also faced ineffective navigation, struggling to reach the right filter, drilldown, or comparison view without multiple detours. Furthermore, a subpar UI structure, lacking a unified design system, made screens feel disconnected, which slowed down both analysts and engineers. Collectively, these friction points slowed decision-making and created unnecessary cognitive load for teams processing millions in revenue adjustments.Through audits, interviews, and workflow analysis, several key themes emerged that highlighted significant challenges. A lack of practical visualization meant critical insights were buried inside legacy dashboards filled with redundant or unclear charts. Compounding this issue were overwhelming data structures, as healthcare datasets involve multi-year claims, risk categories, payment models, and regulatory frameworks, often presented without a clear hierarchy. Users also faced ineffective navigation, struggling to reach the right filter, drilldown, or comparison view without multiple detours. Furthermore, a subpar UI structure, lacking a unified design system, made screens feel disconnected, which slowed down both analysts and engineers. Collectively, these friction points slowed decision-making and created unnecessary cognitive load for teams processing millions in revenue adjustments.
Research & Insights
Our design approach centered on people rather than charts. I started by conducting interviews with analysts from client organizations such as Cigna, BCBS, and Humana to understand what data mattered most to them, where decisions tended to stall, which charts were being overlooked, how long tasks actually took, and what clarity meant across different roles. These discussions uncovered two key insights: analysts were not confused by the data itself but were hindered by the interface delivering it, and teams prioritized consistency over innovation. Building on these findings, I mapped workflows, collaborated with data scientists to review datasets, and documented UX gaps in navigation, drilldowns, and visual hierarchy. This research became the foundation for all subsequent design decisions.
System Design & Architecture
The most significant breakthrough in our product development came from establishing a scalable design system tailored specifically for enterprise healthcare analytics. I built a unified design system that was adopted across the entire product ecosystem, standardizing typography hierarchy, color coding for statuses, risk states, and data confidence, as well as reusable dashboard components such as cards, KPIs, comparison tables, and filters. The system also defined navigation patterns, padding, grids, composition rules, and interactive behaviors including hover, expand, drilldown, sort, and compare functions. This comprehensive framework solved our biggest internal bottlenecks by providing engineering teams with faster and clearer specifications, delivering consistent layouts to analysts, offering leadership predictability in new feature development, and making designs easier to maintain and scale. As a result, it became the visual and functional foundation for every product update over the following two years.
Dashboard Redesigns
From cluttered screens to intuitive analytics, I redesigned several key dashboards to transform fragmented data into actionable insights. The improvements focused on: • KPI Visibility Reordered top-level metrics so analysts understood health, risk, and revenue position at a glance. • Drilldown Flows Streamlined filter-to-insight pathways so users moved from “What happened?” to “Why?” with fewer clicks. • Visual Hierarchy Removed low-value charts, clarified comparison views, and highlighted anomalies earlier. • Membership & Risk Views Added contextual tooltips, confidence markers, and forecast indicators to support better decision-making. • Reconciliation Dashboards Improved the accuracy and speed with which teams could identify discrepancies — leading directly to millions in recovered revenue. The redesigned dashboards were not just prettier — they were measurably faster, clearer, and more aligned with the way analysts think, enabling smarter and more efficient business decisions.
KPI Visibility
Reordered top-level metrics so analysts understood health, risk, and revenue position at a glance.
Drilldown Flows
Streamlined filter-to-insight pathways so users moved from “What happened?” to “Why?” with fewer clicks.
Visual Hierarchy
Removed low-value charts, clarified comparison views, and highlighted anomalies earlier.
Membership & Risk Views
Added contextual tooltips, confidence markers, and forecast indicators to support better decision-making.
Reconciliation Dashboards
Improved the accuracy and speed with which teams could identify discrepancies — leading directly to millions in recovered revenue.
