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MatchX Platform

Revolutionizing Organ Transplant Analytics

Transforming fragmented, burdensome workflows into a unified, holistic platform that simplifies complexity and sets a new standard in histocompatibility analysis.

MatchX — Software Walkthrough

Worklist Patient List Lot List Antibody Results DNA Results Crossmatch Donor Chart Batch Creation
Worklist
Worklist Patient List Lot List Antibody Results DNA Results Crossmatch Donor Chart Batch Creation
My Role
Lead UX/UI Product Designer
Client
Immucor (now Werfen)
Timeline
2021–2025
With
UX/UI, Research, Human Factors, Product, Engineering

Overview

Immucor (now part of Werfen) asked us to reimagine their fragmented digital suite of DNA, Antibody, and Platelet Antibody tools into a single cohesive platform: MatchX.

The science was complex — but what mattered most was designing tools that people trust with life-critical decisions. Stepping into organ transplantation workflows meant understanding not just what users did, but the weight of what they were responsible for.

The Challenge

Through early stakeholder interviews and field visits, we saw how fragmented tools created friction at every step of analysis:

  • Siloed tools forced technologists to jump between DNA, Antibody, and Platelet modules in life-critical workflows, increasing the risk of error.
  • Manual workarounds — from Excel worksheets to paper records — slowed processes and carried safety risks.
  • Limited flexibility and guidance made it difficult to analyze data holistically, leaving users uncertain and fatigued.
  • No traceability meant relying on manual notes to track who did what and why, eroding confidence in the process.

We embraced a risk-driven, iterative approach — immersing ourselves in labs, mapping real workflows, and rapidly validating assumptions with prototypes.

Every pattern we uncovered — from how technologists process results to how they reach life-critical decisions — shaped how we organized the tools around their work. Not minimalism. Precision: nothing extra, nothing in the way, nothing missing.

3
Contextual Lab Visits
5
Usability Tests
100+
User Interviews
4
Conference Talks

From siloed modules and manual workarounds to one platform

Labs ran DNA, Antibody, and Platelet workflows in completely separate tools — each with its own logic, navigation, and exports. MatchX unified them into a single experience built around how work actually flows in the lab.

Before — Legacy Tools

Separate modules with inconsistent UI, disconnected data, and reliance on Excel worksheets, email chains, and paper-based records.

Legacy Match It! interface — fragmented separate tools

After — MatchX Platform

Unified platform with a centralized worklist hub, cross-workflow data integration, and built-in traceability at every step.

MatchX unified platform dashboard
03

Too many paths

Multiple ways to complete tasks and deeply hidden tools led to inconsistent workflows.

External tools

Labs used Excel, external systems, or paper since the software lacked analysis support.

Outside analysis

Many users exported data right after processing, revealing a lack of tools and connected flows.

Critical gaps

Flows like creating a batch and analyzing a patient required steps buried across disconnected places.

04

Should assays be in separate modules within the software, or should we pool all data together?

Testing a startup screen revealed that a single, holistic platform was the right call — each assay is just one piece of the puzzle, and none could be isolated from the others.

Startup screen exploration — modules vs unified platform

What organization and prioritization of results match the user's mental model?

Testing disproved our assumption that patient-level and batch-level review were equivalent flows. Results are shaped by batch performance — so no matter how interconnected the data, it all starts with review by batch.

Patient List vs Batch List — mental model exploration

How do users navigate through results — and when does a quick review become an in-depth one?

Discovery research revealed that both worlds exist: it depends on the assay, its complexity, and the overall performance of the batch.

Quick View vs Full View — navigation modes

What we learned in the field became the blueprint for every decision that followed.

05

The Architecture

We divided our global navigation into three main hubs, each designed to present connected information while supporting different user needs.

  1. The worklist functions as a "to-do list" that includes all results pending review.
  2. The patient list focuses on providing insights at the patient level.
  3. The lot list presents an overview of lot performance and history.

We built a flat 2-level sitemap focused on lateral navigation, giving users a clear sense of location at every step.

MatchX navigation architecture — three hub model

The Layout

The results view presented a unique challenge. Users were accustomed to a freeform interface, which often felt chaotic. Our goal was to provide a consistent, organized workspace while still giving users the flexibility to use tools as they see fit.

We learned how users prefer to consume information, what they need to compare side by side, and which details should always remain visible.

MatchX layout wireframes
We landed on a layout that provides enough structure for clarity and consistency, while also offering a range of tools that allow users to implement a highly flexible workflow.
MatchX full layout — annotated
06

Summaries

Aggregated data to quickly spot reactivity patterns and validate each batch faster.

Summaries — aggregated batch data

Highlights

Manual and automatic highlighting to easily trace information across results and patient history.

Manual and automatic highlights

Past Results

Compares and highlights past data against current results, removing the need for multiple tabs, disconnected flows, or paper records.

Past Results comparison tool

Antibody History

Plot trends for specific antigens relevant to the patient and donor to support informed clinical decisions.

Antibody History — antigen trend plotting

Profile Badges

Track review, approval, and export activities at a glance — making it easier to see pending tasks and collaborate across teams.

Profile badges — review and approval tracking

Patient View

A unified record of historical data, enhanced with APIs for a comprehensive virtual crossmatch experience.

Patient View — unified record and virtual crossmatch

Comments & Logs

Manual comments and automated activity logs to improve transparency and team collaboration.

Manual comments and automated activity logs

Custom Reports

Save assets during analysis to build reports on the go and streamline the workflow.

Custom reports built during analysis

Beyond the product

An interactive training tool
used in the real world

As Werfen begins rolling out MatchX internationally, this training tool is how they introduce the platform to new customers. Every screen includes contextual overlays and guided info cards — a fully interactive onboarding experience designed to work as a standalone product.

Click to interact

Interactive prototype — click to explore · use ⤢ to go fullscreen

Validation

We collaborated closely with the client to ensure alignment with regulatory guidelines for medical devices, particularly around human factors and usability. A summative usability study supported the product's submission and successful FDA approval.

MatchX FDA 510(k) Clearance – BK241067 (fda.gov)

The platform is now also under review for EU IVDR validation, marking the next step in global adoption.

Recognition

Feedback from usability sessions was overwhelmingly positive — 99% acceptance rate

"If this becomes available the way you're showing it, my lab would adopt it fully."
— Formative-study participant
"When is this coming out? We need this ASAP."
— Formative-study participant

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