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.
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
Decrease in user error rates
20%
Increase in new subscriptions
Increase in new subscriptions
Context
Pareto Intelligence builds data driven products for some of the largest healthcare payers in the U.S., including Cigna, Blue Cross Blue Shield, and Humana, helping organizations reconcile millions in financial discrepancies, analyze complex claims data, and improve operational performance. When I joined, the underlying analytics were strong, but the UX foundation was fragmented. Dashboards lacked consistency, workflows were unclear, and dense datasets made it difficult for analysts to quickly interpret and act on insights. My role was to bring structure, clarity, and usability to an ecosystem of enterprise tools responsible for navigating large volumes of sensitive financial and clinical data.
Pareto Intelligence builds data driven products for some of the largest healthcare payers in the U.S., including Cigna, Blue Cross Blue Shield, and Humana, helping organizations reconcile millions in financial discrepancies, analyze complex claims data, and improve operational performance. When I joined, the underlying analytics were strong, but the UX foundation was fragmented. Dashboards lacked consistency, workflows were unclear, and dense datasets made it difficult for analysts to quickly interpret and act on insights. My role was to bring structure, clarity, and usability to an ecosystem of enterprise tools responsible for navigating large volumes of sensitive financial and clinical data.
The Challenge
The organization lacked a unified design system, which led teams to build components in isolation and caused the same UI elements to behave differently across products. Inconsistencies in color, spacing, typography, and interaction patterns created significant design and engineering debt, slowed user onboarding, increased the risk of error in financial workflows, and raised long term maintenance costs. At the same time, the platform needed to support dense and complex healthcare data such as claims, diagnoses, risk scoring, audits, payments, RAF charts, and compliance triggers, but weak information architecture made it difficult for users to identify anomalies, prioritize remediation, compare trends, and act on insights. The experience relied heavily on Tableau dashboards that were functional but not scalable, lacking clear hierarchy, efficient cross filtering, performance optimization, custom branding, and support for user specific workflows or financial storytelling. As a result, the company planned a migration to Looker and required a UX lead to architect that transition while also addressing a broader platform issue: fragmented product experiences where navigation, filtering, and insight patterns varied by tool, forcing analysts to constantly re learn how to work across the system.
The organization lacked a unified design system, which led teams to build components in isolation and caused the same UI elements to behave differently across products. Inconsistencies in color, spacing, typography, and interaction patterns created significant design and engineering debt, slowed user onboarding, increased the risk of error in financial workflows, and raised long term maintenance costs. At the same time, the platform needed to support dense and complex healthcare data such as claims, diagnoses, risk scoring, audits, payments, RAF charts, and compliance triggers, but weak information architecture made it difficult for users to identify anomalies, prioritize remediation, compare trends, and act on insights. The experience relied heavily on Tableau dashboards that were functional but not scalable, lacking clear hierarchy, efficient cross filtering, performance optimization, custom branding, and support for user specific workflows or financial storytelling. As a result, the company planned a migration to Looker and required a UX lead to architect that transition while also addressing a broader platform issue: fragmented product experiences where navigation, filtering, and insight patterns varied by tool, forcing analysts to constantly re learn how to work across the system.
Research & Insights
I led a comprehensive UX audit using heuristic evaluations, cognitive load and task time analysis, error reviews with subject matter experts, accessibility checks, and cross product coherence audits. This surfaced recurring issues such as poor insight prioritization, inconsistent filtering, overbuilt data tables, excessive clicks to reach critical details, buried metrics, and visual noise that obscured trends. In parallel, I conducted interviews and contextual inquiries with analysts, claims auditors, actuarial teams, healthcare operations leaders, executives, and compliance partners, uncovering a key insight: users were not asking for more data, they wanted clarity and confidence in what they were seeing.
Using that information, I restructured the IA around a clear narrative flow from insight to context to action to audit, standardized filtering behavior, simplified navigation, and introduced reusable data grouping and priority based layouts for high value metrics. I designed and built Pareto’s first design system, defining core components, layout and spacing rules, typography scales, data visualization standards, risk and alert color semantics, accessibility guidelines, and consistent interaction patterns across dashboards, which unified the product suite and significantly reduced UI defects.
I also led the UX vision for migrating dozens of Tableau dashboards into Looker, rebuilding complex visuals with standardized logic, clearer drill paths, global visualization rules, improved comparison views, and better performance at scale. Throughout the process, I validated solutions through interactive Figma prototypes tested with analysts across teams, refining dashboard flows, anomaly detection, trend comparison, reconciliation workflows, and accessibility behaviors to ensure the experience was both intuitive and reliable.
I led a comprehensive UX audit using heuristic evaluations, cognitive load and task time analysis, error reviews with subject matter experts, accessibility checks, and cross product coherence audits. This surfaced recurring issues such as poor insight prioritization, inconsistent filtering, overbuilt data tables, excessive clicks to reach critical details, buried metrics, and visual noise that obscured trends. In parallel, I conducted interviews and contextual inquiries with analysts, claims auditors, actuarial teams, healthcare operations leaders, executives, and compliance partners, uncovering a key insight: users were not asking for more data, they wanted clarity and confidence in what they were seeing.
Using that information, I restructured the IA around a clear narrative flow from insight to context to action to audit, standardized filtering behavior, simplified navigation, and introduced reusable data grouping and priority based layouts for high value metrics. I designed and built Pareto’s first design system, defining core components, layout and spacing rules, typography scales, data visualization standards, risk and alert color semantics, accessibility guidelines, and consistent interaction patterns across dashboards, which unified the product suite and significantly reduced UI defects.
I also led the UX vision for migrating dozens of Tableau dashboards into Looker, rebuilding complex visuals with standardized logic, clearer drill paths, global visualization rules, improved comparison views, and better performance at scale. Throughout the process, I validated solutions through interactive Figma prototypes tested with analysts across teams, refining dashboard flows, anomaly detection, trend comparison, reconciliation workflows, and accessibility behaviors to ensure the experience was both intuitive and reliable.
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.
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, Drill down Flows, Visual Hierarchy Removed, Membership & Risk Views, Reconciliation Dashboards. 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.
From cluttered screens to intuitive analytics, I redesigned several key dashboards to transform fragmented data into actionable insights. The improvements focused on: • KPI Visibility, Drill down Flows, Visual Hierarchy Removed, Membership & Risk Views, Reconciliation Dashboards. 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.
Reconciliation Dashboards
We want to improve the accuracy and speed with which teams can identify discrepancies, leading directly to millions in recovered revenue.
KPI Visibility
We want to Reorder top-level metrics so analysts can understand health, risk, and revenue position at a glance.
Drilldown Flows
Streamlined filter-to-insight pathways enable users to move from “What happened?” to “Why?” with fewer clicks.
Visual Hierarchy
We are removing low-value charts, clarifying comparison views, and highlighting anomalies earlier.
Membership & Risk Views
We are adding contextual tooltips, confidence markers, and forecast indicators to support better decision-making.
Reflections & Learnings
This project changed how I think about enterprise design. It taught me that: When you unify the system, you unify the decisions. Good design doesn’t just present data it directs attention, reduces noise, and gives people the confidence to act. At Pareto, my work helped transform scattered dashboards into a consistent analytical platform that teams now rely on daily a system that saves time, money, and cognitive effort at scale.
Lennox Prince Jr.
Freelance Product Engineer
Reflections & Learnings
This project changed how I think about enterprise design. It taught me that: When you unify the system, you unify the decisions. Good design doesn’t just present data it directs attention, reduces noise, and gives people the confidence to act. At Pareto, my work helped transform scattered dashboards into a consistent analytical platform that teams now rely on daily a system that saves time, money, and cognitive effort at scale.
Reflections & Learnings
This project changed how I think about enterprise design. It taught me that: When you unify the system, you unify the decisions. Good design doesn’t just present data it directs attention, reduces noise, and gives people the confidence to act. At Pareto, my work helped transform scattered dashboards into a consistent analytical platform that teams now rely on daily a system that saves time, money, and cognitive effort at scale.
Lennox Prince Jr.
Freelance Product Engineer