FastLane
A digital stroke assessment tool built for the speed that stroke demands
Year
2026
Type of Project
Startup Project
My Role
Product Designer
Timeline
October 2025 - Present
Context
In Thai hospitals, stroke severity assessment lacks standardization. Emergency and triage nurses often rely on printed English-language NIHSS forms or memory from past training, leading to inconsistent assessments, delayed decisions, and missed diagnoses. Stroke is one of the few conditions where minutes directly determine survival and recovery outcomes.
This problem is personal. FastLane's founder is a Bangkok-based doctor who experienced this gap firsthand. I joined as Co-Founder and Product Designer because my grandmother passed away from stroke. Building something that could help others act faster felt like the right thing to do.
My Role
Co-Founder and Product Designer, leading product vision, UX design, and design strategy from concept through MVP across a 3-person founding team.
What We Learned Early
We shipped an initial lo-fi MVP based on the full NIHSS assessment standard to get something tangible in front of users quickly. After testing with triage and ER nurses, we found the tool was too clinically complex and too stroke-specific for frontline use. Nurses needed something faster and simpler at the point of first contact.
This led us to pivot to the BEFAST assessment framework, a 6-question tool that identifies stroke warning signs in under 2 minutes without requiring clinical expertise.
What We Built
FastLane is a PWA that guides users through the BEFAST assessment, Balance, Eyes, Face, Arms, Speech, and Time, and immediately surfaces a severity score with clear recommended actions. The tool works without login, takes under 2 minutes, and is designed for high-stress environments where clarity and speed matter most.
Impact
MVP launched and actively being tested with target users. The pivot from NIHSS to BEFAST was driven entirely by real user behavior, not assumption, and reflects a product team willing to change direction based on evidence.
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