This question evaluates data science competencies in metric design and experiment methodology, including sensitivity-aware A/B testing, user-centric outcome selection, and offline/online evaluation for content moderation and chatbot knowledge bases within the Analytics & Experimentation domain.

Trust & Safety data science: You are asked to design metrics for two situations: (1) a content‑moderation A/B test where harmful‑content prevalence is low, and (2) evaluation of a customer‑service chatbot’s knowledge base.
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