Design a Feature to Reduce Driver Fatigue

To design a fatigue reduction feature for Uber, I would prioritize a non-intrusive, multi-tiered system that supports drivers rather than policing them. First, we must define success not just by accident reduction but by maintaining trust; drivers should feel cared for, not micromanaged. The solution begins with passive telematics integration. Instead of requiring camera input which raises privacy concerns, we analyze driving behavior patterns such as micro-sleeps indicated by lane deviation or erratic braking. If anomalies are detected, the app triggers Level 1: Gentle Nudges. This could involve changing in-app music to an upbeat tempo or sending a friendly message suggesting a quick stretch. If patterns persist over a set duration, we escalate to Level 2: Proactive Intervention. The algorithm identifies nearby safe rest zones and suggests a mandatory short break, perhaps offering a small incentive credit to encourage compliance. Crucially, this is framed as a safety tool, not a penalty. Finally, we must address edge cases. We need a robust feedback loop where drivers can flag false alarms to retrain the model. To measure success, we would run an A/B test comparing accident rates and driver churn between the control group and those exposed to the feature. The goal is to create a safer ecosystem that aligns with Uber's mission of moving the world forward safely.