I spent the first minute just trying to figure out what they were actually asking.
Start by clarifying the goal: is this about maximizing long-term user engagement and well-being, or a short-term metric? Then propose a hypothesis-driven, data-informed approach that balances user value, business objectives, and ecosystem health, using experiments to measure causal impact.
Pro tip: Emphasize that you would not just look at engagement metrics but also consider user well-being and content diversity, as Meta cares about meaningful interactions and long-term retention. Also, mention the importance of segmenting users and considering the trade-offs between different content types.
Ask clarifying questions to understand the goal: Is it to increase overall engagement, time spent, or user satisfaction? Are there business constraints like ad load or content availability? Define success metrics.
Based on user research and data, hypothesize how changing the video-to-events ratio might affect key metrics. Identify independent variables (proportion of videos) and dependent variables (engagement, retention, well-being).
Propose A/B tests with different ratios, ensuring statistical power and controlling for confounders. Measure both short-term and long-term effects, including guardrail metrics like user sentiment and content diversity.
Evaluate the impact on primary and guardrail metrics. Consider segment-level differences and potential ecosystem effects. Decide whether to increase videos, keep the status quo, or iterate.
If you decide to change the ratio, roll out gradually and monitor ongoing metrics. Be prepared to revert or adjust based on new data and user feedback.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.