Social app launches a restaurant-recommendation feed that may compete with existing new-friend suggestions; product team wants to understand engagement trade-offs across features and page types.

Which metrics would you track to evaluate the restaurant-recommendation feature from both the user side and the restaurant side? Overall engagement stays flat but the new-friend add rate falls by 2 %.  How would you interpret this change? What product or targeting changes would you propose to mitigate any cannibalization between restaurant recommendations and new-friend suggestions? Activity on group pages is higher than on celebrity and family pages.  Generate hypotheses to explain this difference and outline how you would validate them.

Tie metrics to user value, surface cannibalization hypotheses, segment by audience, propose experiments or ranking changes to balance resource allocation.

Meta Data Scientist interview question: Evaluate Metrics for Restaurant-Feature Impact and Engagement Trade-offs. {"blocks": [{"key": "9969b843", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {...