{"blocks": [{"key": "c6ad4ae9", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "6ae7ae6c", "text": "A food-delivery platform notices that deliveries in Los Angeles have dropped by 10% week-over-week.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2b7576c3", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a45ad09b", "text": "How would you attribute the 10% decline in LA deliveries? List potential root causes, outline an analytical plan to test each hypothesis, and describe how you would validate findings if controlled experiments are infeasible.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "e6c47aa3", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "067700f9", "text": "Segment by supply vs. demand metrics, cohort by time/location, use causal inference or synthetic controls when A/B tests are impossible.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}