IQVIA

Health-Tech, Big Data
‍IQVIA, a global leader in analytics, technology, and clinical research, focused on adopting the OMOP Common Data Model (CDM). This standardised data framework accelerates large-scale, real-world evidence studies, improving efficiency and effectiveness in clinical research.

Project Goal: Enhance accessibility, modularity, and overcome process complexity

Timeframe: 8 months

Challenge:

One of the key problems I discovered through the agile UX approach in this project was that users spent excessive time searching for assets, often reloading the same items and struggling to identify their status. This confusion led to frustration, inefficiency, and unnecessary computing costs. Without clear asset states, users repeated tasks, slowing productivity and harming the bottom line. I introduced an intuitive status system using colour coding, surfaced in-progress assets prominently, streamlined actions directly in the table, and created a clearer logs page to manage errors efficiently.

Process

LEARNING
Employing an agile approach, conducted one-to-one interviews, observed SMEs over five-day workshops, and identified challenges and opportunities in SQL features, data preparation, parsing, visualizations, analysis, and security

TESTING
I created user stories and ticket requirements, integrated the design system, tested concepts with cross-functional teams, and delivered validated solutions to development. e.g. reduced cognitive load by clarifying navigation, prioritising key actions, and reorganising table elements

SYNTHESIS
Mapped the service blueprint, defined personas from an ecosystem map, identified user journey bottlenecks, prioritised stakeholder needs, and uncovered pain points and business opportunities. e.g. searchability issue

Research Outcome

Prioritised user stories from the mapped key issues and user needs on an end-to-end service blueprint

Case Study: identified problem (Searchability Issue)
‍Complex data retrieval frustrated users, taking 120–150 seconds to find assets. The product lacked intuitive search capabilities, making it challenging to quickly filter and distinguish data assets.

Root causes & to-be scenarios
‍In-depth analysis revealed absent intuitive search, burdensome pagination, poor status differentiation, and no renaming option. Proposed solutions included redesigned search, clear asset states, fewer steps, and renaming capabilities.

Prototyping

I tested low-fidelity prototypes, validated usability, and iterated high-fidelity UIs across end-to-end journeys. Each refinement focused on consistent, reusable patterns, ensuring seamless integration and improved user efficiency.

Process

Research Outcome

Prototyping

Final Design

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