Bringing clarity to enterprise healthcare analytics.

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 hard for analysts to quickly interpret and act on insights. My role was to bring structure, clarity, and usability to an ecosystem of enterprise tools navigating large volumes of sensitive financial and clinical data.

The organization lacked a unified design system, so teams built components in isolation and the same UI elements behaved differently across products. Inconsistencies in color, spacing, typography, and interaction created significant design and engineering debt, slowed 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 healthcare data — claims, diagnoses, risk scoring, audits, payments, RAF charts, and compliance triggers — but weak information architecture made it difficult to identify anomalies, prioritize remediation, and compare trends. The experience leaned heavily on Tableau dashboards that were functional but not scalable, lacking clear hierarchy, efficient cross-filtering, and support for user-specific workflows.

The company planned a migration to Looker and needed a UX lead to architect that transition — while also addressing a broader problem: fragmented product experiences where navigation, filtering, and insight patterns varied by tool, forcing analysts to constantly re-learn how to work across the system.

Users weren't asking for more data — they wanted clarity and confidence in what they were seeing.

I led a comprehensive UX audit — heuristic evaluations, cognitive-load and task-time analysis, error reviews with subject-matter experts, accessibility checks, and cross-product coherence audits. It surfaced recurring issues: 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 ran interviews and contextual inquiries with analysts, claims auditors, actuarial teams, operations leaders, executives, and compliance partners.

Using that, I restructured the IA around a clear narrative flow — insight → context → action → audit — standardized filtering, simplified navigation, and introduced reusable data grouping and priority-based layouts for high-value metrics. I designed and built Pareto's first design system, then 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 — validated through interactive Figma prototypes tested with analysts across teams.

The biggest breakthrough came from a scalable design system built for enterprise healthcare analytics.

I built a unified design system adopted across the entire product ecosystem — standardizing typography hierarchy; color coding for statuses, risk states, and data confidence; and reusable dashboard components like cards, KPIs, comparison tables, and filters. It also defined navigation patterns, padding, grids, composition rules, and interactive behaviors including hover, expand, drilldown, sort, and compare.

The framework solved our biggest internal bottlenecks: faster, clearer specs for engineering, consistent layouts for analysts, predictability for leadership in new-feature development, and designs that were easier to maintain and scale. It became the visual and functional foundation for every product update over the following two years.

From cluttered screens to intuitive analytics.

I redesigned several key dashboards to transform fragmented data into actionable insights. The redesigned dashboards weren't just prettier — they were measurably faster, clearer, and more aligned with the way analysts think, enabling smarter, more efficient business decisions.

The redesigned portal and design system measurably improved the analyst experience — a 25% reduction in task-completion time, a 30% drop in user error rates, and a 20% increase in new subscriptions — while giving engineering a consistent foundation for every release that followed.