PM Interview: "How would you reduce churn at Uber?"

Assesses analytical ability, understanding of retention levers, and ability to design actionable solutions in a complex network business.

• Breaks down user churn with data and segments
• Identifies root causes and pain points
• Proposes targeted interventions (loyalty, pricing, incentives, etc.)
• Balances interests of both riders and drivers
• Defines clear success metrics (retention, LTV)
• Considers scalability and potential drawbacks

• Churn drivers vary by user & city segment
• Two-sided marketplace makes tradeoffs
• Test and measure incremental improvements