I jumped straight into channel prioritization which felt right in the moment but I skipped asking what 'conversions' even meant for them.
Start by clarifying the metric definition and constraints—what counts as a conversion, what levers exist, and what the current baseline is. Then propose a structured, data-driven plan that prioritizes high-impact, low-effort experiments, while acknowledging the trade-offs between short-term hacks and long-term sustainable growth. Emphasize measurement, iteration, and cross-functional collaboration to hit the target without sacrificing quality.
Pro tip: Show that you understand the difference between correlation and causation—avoid claiming a tactic will definitely work; instead, frame it as a hypothesis to test with a clear success metric. Also, mention the importance of not breaking existing user experiences or violating platform policies, which is critical at a company like DoorDash.
Ask questions to understand what 'conversion' means, the current baseline, available resources, time constraints, and any guardrail metrics (e.g., user retention, cost per acquisition).
Brainstorm potential levers across the funnel (acquisition, activation, retention, referral) and prioritize based on expected impact and effort, using a framework like ICE (Impact, Confidence, Ease).
Propose 2-3 high-potential experiments that can be launched quickly, with clear hypotheses, success metrics, and a plan to measure results within the timeframe.
Describe how you would implement the experiments, monitor results daily, and double down on what works while cutting what doesn't, ensuring cross-functional alignment.
Explain how you would keep stakeholders informed, manage trade-offs (e.g., short-term gains vs. long-term user trust), and ensure compliance with policies and ethical standards.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.