This project began with one of the most research-intensive phases of my career. Before designing screens, we immersed ourselves in the world of blood testing, antibody identification, and lab workflows to truly understand the requirements behind the application.
RESEARCH ACTIVITIES
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KEY FINDINGS
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IMPACT ON SCOPE
One of the clearest outcomes of our research was how much the product scope evolved. What started as a simple digitization effort grew into a workflow and compliance platform.
ORIGINAL SCOPE (BEFORE RESEARCH)
A basic viewer, focused on accessing records, but not addressing deeper workflow, compliance, or scalability needs.
EXPANDED SCOPE (AFTER RESEARCH & TESTING)
A workflow platform, supporting multi-site operations, compliance, and training while reducing cognitive load and error risk.
OVERVIEW
NEO engaged us to take over and deliver a stalled project.
Safe blood donation is complex. Our challenge was to redefine workflows, ensuring they met the highest standards of patient safety, regulatory compliance, and efficiency.
CHALLENGE
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SOLUTION
We delivered an MVP that introduced:
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PAIN POINTS ADDRESSED
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We designed a flow that would accommodate different workflows, technologist experience levels, and SOPs.
FLOW NAME
Antibody Identification Process
CLIENT
Lab NEO
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{{ j.tag }}USER FLOW EXAMPLE
The end-to-end path from a transfusion order to an approved result — mapped across roles, SOP variations, and rule-in / rule-out decision points.
Our design pillars ensured we addressed clinical needs without compromising usability or compliance.
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This project followed a structured iteration process: starting with low-fidelity wireframes to validate workflows, refining designs through SME feedback, usability tests and evolving into a polished, scalable UI system.
What we learned
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RECOMMENDATIONS VIEW
Initial grid layout helped users scan key results quickly. Feedback from SMEs shaped refinements in spacing, labels, and interaction clarity.
WORKSPACE VIEW
Central to the diagnostic process, this workspace supports the classification of antibodies. Early versions focused on laying out complex data structures — such as antigram rows and test results — while allowing for both manual and AI-supported recommendations.
SAMPLES VIEW
The primary dashboard shows all active tests, enabling lab technicians to quickly assess status, filter by priority, and locate pending actions. We introduced intuitive visual indicators (e.g. color-coded statuses) to reduce cognitive load and guide daily prioritization.
GLIMPSE OF OUTPUTS
Tests / Samples
CORE SCREENS · TEST LIST
Every sample, one view.
A sortable, filterable test table — helping technologists navigate large volumes of data without losing the thread.
WORKUPS · ANTIGRAM WORKSPACE
Where classification happens.
Central to the diagnostic process — laying out complex antigram rows and results, with both manual and AI-supported rule-in / rule-out.
PATIENTS · DETAIL & HISTORY
The full patient picture.
A streamlined view for patient data, with clear ruled-in antibody results and a full workup history at a glance.
This MVP positioned NEO to scale globally with a compliant, flexible platform that can evolve toward AI-driven diagnostics.
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NEXT PROJECT
talent rocket →
The hire that nobody could see — turning verification into real-time truth.