You're a PM for Uber Eats. Cart conversation has dropped by 10% in the last 3 months. How would you find the root cause?

To diagnose a 10% drop in cart conversion over the past month, specifically in the US, I would first segment the data to identify specific user groups, regions, or restaurant categories most affected. Then, I'd investigate potential causes through a multi-pronged approach:

1. User Behavior Analysis: Examine user flows for drop-off points within the checkout process. Are users abandoning carts at the payment stage, delivery address confirmation, or before finalizing? Tools like funnel analysis and session recordings would be crucial.
2. Technical Issues: Rule out any recent bugs, performance degradations, or integration failures with payment gateways or third-party services that might be hindering order completion.
3. Pricing and Promotions: Analyze changes in pricing, delivery fees, or promotional offers. A sudden increase in costs or a reduction in attractive deals could deter users.
4. Competitive Landscape: Assess if competitors have launched new features, aggressive pricing strategies, or improved their user experience, drawing customers away.
5. User Feedback: Review customer support tickets, app store reviews, and in-app feedback for recurring complaints related to the checkout or ordering process.

By systematically analyzing these areas, we can pinpoint the most likely root cause(s) and prioritize solutions.