I jumped straight to engagement metrics like watch time and shares, which felt right, but I could tell they wanted me to think harder about what 'success' actually means for a feature sitting inside a social platform.
Start by clarifying the goal of Facebook Videos (e.g., engagement, monetization, or ecosystem growth) and then define success using a mix of user, product, and business metrics. Structure your answer around a metrics framework like HEART or AARRR, and emphasize the importance of setting targets and segmenting by user types.
Pro tip: Tie your metrics to Facebook's overarching mission of bringing people closer together and its business model, and mention how you'd use A/B testing to validate causal impact rather than just correlation.
Ask clarifying questions to understand what Facebook Videos is trying to achieve (e.g., increase time spent, drive ad revenue, or foster community). This ensures your metrics align with the product's strategic intent.
Select a framework like HEART (Happiness, Engagement, Adoption, Retention, Task Success) or AARRR (Acquisition, Activation, Retention, Referral, Revenue) to organize your thinking and cover all aspects of success.
For each framework category, list concrete metrics (e.g., daily video views, watch time, uploads, shares, ad click-through rate, revenue per user). Prioritize a few key metrics that directly reflect the goal.
Establish realistic targets based on historical data, industry benchmarks, or internal goals. Consider segmenting by user demographics, geography, and content type to get a nuanced view.
Explain how you would track these metrics over time, use A/B testing to establish causality, and iterate on product features to improve performance against the targets.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.