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Balancing Backend Optimization vs. User Feature for Grubhub

Feature Prioritization · advanced

Grubhub's engineering team suggests refactoring the recommendation engine's code to improve load time by 20%, while the marketing team emphasizes adding a new social sharing feature to boost user engagement. Currently, the app's average recommendation load time is 1.5 seconds, and user engagement rates have plateaued. You have one month and four developers to allocate. Decide which initiative to prioritize, ensuring that the decision aligns with business goals.

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