Global Clinical Trial Supply Chain Platform
Making clinical supply chain risks visible early enough to act
Role
Senior UX Designer
When
Dec 2025 - Present
Team
8 product designers
Business team
Development team
Clinical supply chain SMEs & product owners
Impact
Cut hours of cross-system investigation down to seconds by surfacing supply risks in one place
Accelerated validation from 4 weeks to 1 by replacing static screens with AI prototypes
Established 0→1 design patterns across 17 features
Client and project details have been anonymized due to NDA.
If everything is visible, is anything truly visible?
A global pharmaceutical company runs hundreds of clinical trials each year, their patients testing out new drugs and medication. The engine running beneath these clinical trials is the supply chain. It is the detailed planning of orders, shipments, quality checks, packages, labels — ensuring that all patients receive their medication at the right place and time.
Clinical supply chain data is of utmost importance, but today, it is scattered across systems and teams. By the time a risk surfaces and becomes too obvious to miss, a supply chain manager is firefighting instead of getting ahead of it.
This project sought to pull all this data, and unify into a single visibility platform. The key challenge was deciding what to make visible first, and draw attention to the most important things.
I was part of a design consultant team of 8, working alongside a larger cross-functional program. I translated business requirements into interactive prototypes, cutting through complexity to define what each feature really needed to achieve.
Designing the shortest path to a decision
With internal tools, there is almost always more information that could be shown than there is space to show it. The question we kept coming back to was: what does the user need to know to make a decision, and how can we get them there as quickly as possible?
We started with business requirements from the client, which often described existing workflows and data rather than the decisions users ultimately needed to make.
Take the Inventory feature. The ask was to compare previous and current demand forecasts because that mirrored an existing workflow. Planners would spot a demand change first, then switch systems to compare it against the supply, and finally decide whether any action was needed.
Early concept based on the original requirement of comparing demand forecast changes.
These first prototypes were hypotheses we could put in front of users quickly. In working sessions, we’d get immediate feedback and keep probing. What decision do you really need to make? What action needs to follow? What is the true endpoint of the workflow?
That process led us to uncover that the actual need of the feature was to evaluate: Does the supply plan meet projected demand? If not, when will the earliest shortage happen?
Final design - the solution shifted from comparing forecasts to identifying where supply would first fall short of demand
Once the real need was clear, what belongs on the screen became much easier to prioritize. The goal is simply to help users get to that decision as quickly as possible.
Once you know what matters, make it impossible to miss
The same principle of surfacing priority applied to all 17 features. Business leadership needed teams focused on risks and exceptions, not just healthy operations.
An early consolidated view for managing orders. All the information was finally in one place, but nothing stood out as requiring attention.
We approached the challenge by designing a hierarchy of attention.
At the highest level, summary metric cards answered "How healthy is my overall queue?" They displayed how many orders were late, and when the user clicked on them, would also function as a filter and sort out to the relevant subset of data.
Designing for how analysts actually work
To ensure an insight-first experience, we positioned the visual insights as a dashboard on the homepage. The default landing provides an instant visual overview, while the search functionality remains accessible at the top for users who want to drill into more granular data.
The user flow: landing on the homepage dashboard, filtering by criteria, then accessing detailed search results
On the homepage, the world map takes center stage, presenting aggregated market data at a glance, such as active project counts by region, sector breakdowns, and registry distribution. Analysts can immediately assess regional markets—seeing, for instance, India's active project count and sector composition—without executing a search.
Notably, aggregations like total CO2 reductions, which would normally require manually compiling data across hundreds of individual project listings, appear instantly.
World map widget: Geographic distribution paired with aggregated metrics that previously required manual compilation across hundreds of listings
Beneath the map, a timeline graph shows credit issuance versus retirement over time. Multiple analysts had mentioned wanting to understand market maturity and activity cycles—this graph answers that immediately.
The second dashboard widget: credit issuance and retirement over time, filterable by region
The reported result of these changes was significant: tasks that previously took 30-60 minutes of manual aggregation now take under 5 minutes.
Impact and further enhancements
Our prototype secured seed funding from the World Bank, which allowed CAD Trust to engage our full development team—5 engineers and a delivery lead.
Over the next 5 months, I continued designing features from our backlog while collaborating with engineers to build and launch the platform, which is now used by carbon analysts and traders across 30+ countries.
The platform's impact gained international recognition, being showcased at the World Economic Forum's GAEA Awards and the World Bank's Innovate4Climate conference.
Dinesh Babu, CAD Trust’s Executive Director, introducing the platform at UNFCCC Climate Change Conference 2023
The foundation we designed continues to generate new capabilities. From scalable search filters to adaptable data visualizations, the platform is evolving in step with user feedback and the expansion of global carbon markets.
A post-launch enhancement: expanding the filtering system allowing users to refine searches across 8 additional criteria
Client Testimonial
"Inez's remarkable blend of technical skill, creativity, and proactive approach sets her apart in the field of user interface design."
- Luka Biernaki, Communications & Marketing Director, CAD Trust