I went straight to DAU and time-in-world, which felt safe but probably too surface-level for a product that's still trying to prove out its core loop.
Start by clarifying the product stage and business goal, then propose a metric framework that balances acquisition, engagement, retention, and monetization, with a clear rationale for prioritizing one or two leading indicators first. Focus on metrics that validate the core value proposition and drive long-term growth, such as retention and time spent, before scaling.
Pro tip: Anchor your answer in the product's current lifecycle stage—early-stage products should prioritize engagement and retention metrics over revenue, while mature products may focus on monetization and efficiency. Mention that you'd validate metrics with qualitative user research to avoid vanity metrics.
Ask about the product's current stage, target audience, and top business objectives to tailor your metric choices. This shows you avoid one-size-fits-all answers.
Propose a North Star metric that captures core value (e.g., daily active users or time spent) and guardrail metrics to prevent unintended consequences (e.g., user-reported bugs or churn).
Select 1-2 leading metrics that predict long-term success, such as retention rate or weekly active creators, and explain why they come first.
Break down the user journey (acquisition, activation, engagement, retention, monetization) and identify which stage needs the most attention now.
Emphasize that metrics should be validated with qualitative research and revisited as the product evolves, avoiding static dashboards.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.