I went straight to the obvious levers (traffic, conversion, basket size) and it felt a bit textbook in hindsight.
Start by clarifying the retail chain's context and defining revenue growth as a product problem: increasing customer lifetime value through acquisition, retention, and monetization. Structure your answer around a product-led framework that leverages data, personalization, and new revenue streams, while aligning with DoorDash's strengths in logistics and local commerce.
Pro tip: Anchor your answer in DoorDash's core assets—its logistics network, merchant partnerships, and consumer app—to show you understand how a PM would drive growth within DoorDash's ecosystem, not just generic retail.
Ask clarifying questions about the retail chain's size, online/offline mix, and target customers. Segment customers by behavior and value to prioritize growth opportunities.
Map revenue growth to three levers: acquire new customers, increase frequency/ basket size of existing customers, and monetize through new streams (e.g., ads, subscriptions, delivery).
Evaluate each lever based on potential revenue impact, feasibility, and alignment with company strengths. Choose 1-2 high-impact initiatives to focus on.
For the prioritized lever, outline specific product features or experiences (e.g., personalized recommendations, subscription program, in-app advertising) that drive the desired behavior.
Define success metrics (e.g., AOV, retention rate, ad revenue) and propose a test-and-learn approach to validate and scale the solution.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.