I went straight to engagement metrics and kind of painted myself into a corner.
Start by clarifying the overarching goal of the Reels recommendation engine—likely to maximize long-term user engagement and satisfaction while balancing ecosystem health. Then, structure your answer around a north-star metric and supporting sub-goals that address user, creator, and business perspectives, and explain how you would prioritize and measure them.
Pro tip: Anchor your goals in Meta's mission and long-term value creation, not just short-term engagement metrics. Show you understand trade-offs between competing objectives like watch time, creator diversity, and user well-being.
Confirm the primary purpose of the Reels recommendation engine: to drive user engagement, retention, and satisfaction while supporting creators and Meta's business. Ask if there are specific constraints or strategic priorities.
Propose a single metric that best captures long-term success, such as 'daily active users engaging with Reels' or 'time spent on Reels per user per day,' and justify why it aligns with Meta's goals.
Identify 3-4 supporting goals across user experience (e.g., relevance, diversity, freshness), creator ecosystem (e.g., creator growth, content quality), and business (e.g., ad revenue, retention).
Explain how you would prioritize these goals, acknowledging potential conflicts (e.g., optimizing for watch time might reduce content diversity) and how to balance them.
Describe how you would measure progress (e.g., A/B tests, holdout groups) and iterate on goals based on data and user feedback.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.