Evaluate Metrics for Restaurant-Feature Impact and Engagement Trade-offs

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