Design a System for Proactive Flight Delay Compensation

To design this system, I would first clarify that the primary goal is reducing churn by turning a negative experience into a trust-building moment. We need to integrate real-time flight data via APIs like FlightAware. The system must ingest these streams and correlate them with active Uber trips or upcoming travel bookings. The core logic involves a decision engine that evaluates delay duration against historical user behavior and trip value. For delays under 30 minutes, we might offer a small credit. For major disruptions, the system should automatically suggest rebooking alternatives or provide instant cash vouchers. Crucially, we must implement a fraud detection layer to prevent users from manipulating data. From a product perspective, the notification timing is vital; sending it too early causes noise, too late causes frustration. I would prioritize a 'silent mode' where the app only alerts if the delay exceeds a critical threshold. Success would be measured by the reduction in support ticket volume regarding flight issues and an increase in Net Promoter Score post-incident. Finally, we must ensure the system scales during peak travel seasons when API latency spikes, utilizing caching strategies to maintain responsiveness.