Legacy detectors relied on 1990s design paradigm: restricted two-line monochrome LCD surrounded by complex array of "Soft Keys" and "Hard Keys". Operators navigated labyrinth of text-based sub-menus, losing context of machine's overall status.

Designed visual calibration wizard replacing text-based setup with 3D machine illustrations. Implemented predictive search with auto-complete, color-coded notification system, and speedometer gauge for at-a-glance status assessment.

Operator training reduced from 3 weeks to 2 days (85% reduction). Error rate reduced significantly via predictive input & semantic alerts. 100% elimination of mechanical membrane failure points through touch interface migration.

Operators needed 3 weeks of training due to complex controls scattered across 12 different screens with inconsistent layouts and unclear prioritization.

Consolidated critical controls onto 3 primary screens with clear visual hierarchy, color-coded priority levels, and consistent interaction patterns throughout.

85% reduction in training time (from 21 days to 2 days), 67% fewer operator errors in first month, and improved confidence scores from 6.2 to 8.9/10.

Patient intake averaged 3 minutes with 47 clicks required. Clinicians reported frustration with repetitive data entry and navigation between 8 different screens.

Redesigned workflow to smart forms with auto-population, reduced to 28 clicks across 3 screens, with real-time validation and quick-access templates.

50% faster intake (from 180s to 87s average), 40% fewer clicks, staff satisfaction increased from 5.1 to 8.3/10, 23% more patients seen per shift.