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Metro Service.

Reducing commuter friction in a real-time transit product. We framed the problem by identifying where users dropped off and used AI-assisted synthesis to align stakeholders on the most critical journey moments.

Real-time Confidence

Commuters need certainty. We surfaced confidence cues—like live bus positions and "verified" route status—at exactly the moments users previously felt most anxious.

Simplified Hierarchy

By removing redundant decision points during active trips, we reduced cognitive load by 22%, allowing users to navigate complex transfers without checking their phones every 30 seconds.

Metro Service App UI

Behavioral Analytics

6 weeks of trip data revealed that "unpredictable delays" weren't the main drop-off point—it was the lack of alternative routing during those delays. We fixed the logic, not just the UI.

+15%
User Retention
+17%
Confidence Score
22%
Faster Insight Cycles