Bit of a weird one to get at Meta since Alexa is Amazon's product, but I think the point was to test general PM thinking on voice assistants.
Start by clarifying Alexa's core value proposition as a voice assistant and the business context (e.g., device sales, ecosystem engagement, monetization). Then propose a balanced set of metrics across user acquisition, engagement, retention, and monetization, prioritizing based on strategic goals. Explain how each metric ties to the overall product vision and business objectives.
Pro tip: Tie metrics to the product's north star and show how they ladder up to company-level goals, while acknowledging trade-offs between short-term and long-term metrics. Demonstrate awareness of the unique challenges of voice interfaces, such as measuring success without visual cues.
Restate Alexa's mission (e.g., make life simpler, more convenient) and identify key business objectives (e.g., grow device adoption, increase ecosystem lock-in, drive monetization).
Outline categories such as acquisition (new users, device sales), engagement (daily active users, interactions per user), retention (churn, repeat usage), and monetization (revenue per user, transaction volume).
Select 2-3 priority metrics based on current product stage and strategic focus, explaining why they matter most (e.g., if growth is key, focus on acquisition and activation).
Justify each metric's importance, how it drives the business, and potential trade-offs (e.g., optimizing for engagement might hurt monetization in the short term).
Tie the prioritized metrics back to a north star metric (e.g., daily active users or successful interactions) and show how they collectively indicate product health.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.