This one messed with me because the instinct is to celebrate the Reels number and explain away the posts drop.
First, clarify whether the 20% shifts are causally linked or coincidental by examining the data across user segments and time. Then, assess if this is a net positive for the platform by considering total engagement and user value, and finally, propose a strategy that optimizes for the overall ecosystem rather than just one metric.
Pro tip: Frame the answer around Meta's overarching goal of maximizing meaningful user engagement and time well spent, not just watch time. Show that you understand the trade-offs between short-term metrics and long-term user retention.
Ask questions to understand the data: Is the 20% change in watch time and feed posts measured over the same period? Are these changes statistically significant? Are they consistent across user segments and geographies?
Determine if the increase in Reels watch time is causing the decrease in feed posts, or if both are driven by a third factor (e.g., algorithm change, seasonality, external event). Consider cannibalization vs. complementary behavior.
Assess whether the shift is beneficial for the platform overall. Consider total time spent, user satisfaction, creator ecosystem health, and long-term retention. Calculate if the gain in Reels watch time outweighs the loss in feed engagement.
If the shift is negative, hypothesize reasons (e.g., feed algorithm deprioritizing posts, UI changes) and propose A/B tests to isolate variables. If positive, consider how to double down while mitigating any negative effects.
Based on findings, recommend specific actions: adjust algorithms, introduce features to encourage feed posting, or reallocate resources. Prioritize based on impact and effort, and define success metrics.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.