{"blocks": [{"key": "e65f3714", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "c7f72c17", "text": "YouTube observes a sudden decline in daily active users and total watch-time across the platform.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5d601df0", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5fb6803f", "text": "How would you systematically diagnose the drop in YouTube usage? Which engagement and funnel metrics would you inspect, and how would you segment users to localize the issue? What further analyses or experiments would you run to confirm root causes?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "b94f9cdd", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "12a50c6d", "text": "Frame with acquisition-activation-engagement-retention funnel, segment by device/geo/feature launch, compare cohorts pre- and post-drop, run hold-out or rollback tests to isolate factors.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}