{"blocks": [{"key": "8c48143d", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "01562826", "text": "Product team is launching a new harmful-content detection system and needs a comprehensive measurement plan.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "194b988e", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "ef87915c", "text": "Propose metrics to measure the severity and prevalence of inappropriate content. Explain why each is chosen and list pros/cons.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2fa70848", "text": "Define and justify the View Prevalence metric.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "11bb35d5", "text": "Design an online A/B experiment to evaluate the new model: state hypothesis, primary success metric, guardrails, sample-size and runtime estimations, and steps to interpret results.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "25f19d5a", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "b439c3e2", "text": "Tie metrics to user harm; weigh severity vs frequency; outline power analysis, segment checks, and risk mitigations.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}