This question evaluates a data scientist's competency in experimental design, metric selection, and causal inference for networked mobile products, focusing on defining primary success and negative-impact guardrail metrics for a push-notification feature.

You are designing and evaluating a new push-notification feature for a TripAdvisor-like mobile app where users can create and share itineraries. Because users influence one another through shares and engagement, the product exhibits strong network effects.
Hints: Think engagement, retention, negative-impact guardrails, and cluster-based randomization to reduce spillover.
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