SCOPIO LABS

Overview
The Product: Digitalizing Hematology Scopio transforms the traditional microscope-based lab into a fully digital workflow.
The Shift: Experts move from manually searching for cells under a microscope to validating AI suggestions on a screen.


Our Users
As Clinical Laboratory Scientists (CLSs), our users operate under constant pressure to reduce Turnaround Time (TAT) while managing increasing test volumes with limited staffing.
Despite the need for speed, they demand Safety and Accuracy above all else. They are willing to trust the system, but need to feel in Control of the process.
The Product Challenge
Solving the "Unclassified" friction
The Pain: Finalizing a BMA (Bone marrow aspirate) report requires manually classifying thousands of cells that fell below the AI's safety threshold - currently a slow, single-cell process.
The Solution
A safety-first workflow for rapid bulk classification
The Fix: We replaced the slow manual sorting with a smart validation interface. By grouping uncertain cells into tentative suggestions, experts can process thousands of cells in seconds and yet, maintaining full control without compromising accuracy.

PBS slide
90% of the slides

BMA slide
10% of the slides
01
Designing for Low-Confidence AI
Designing a non-intrusive way to surface low-confidence AI suggestions without creating Diagnostic Bias.
02
Integrating Bulk Actions into Existing Systems
Implementing high-speed validation tools within a complex ecosystem without disrupting established, single-cell workflows.
The solution
Quantifying efficiency and validating user workflows through data-driven insights.
Time-to-Report Reduction
Metric: Average time to clear the "Unclassified" bucket (Bulk Actions vs. single-cell workflow).
Goal: Reduce manual classification time by ~20%.
Layout Usage & Adoption
Metric: 68% adoption rate for the "Split View" layout
Goal: Validate the necessity of customizable workspaces for different user personas.
Selection-to-Action Conversion
Metric: 80% of "Select All" clicks leading to a successful Toolbar action.
Goal: Verify that the "Global Selection" pattern is intuitive and leads to task completion.
If you have any questions, feedback or would like to discuss my work further, feel free to get in touch :)
View Project





