{"blocks": [{"key": "4b0c7473", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "b8128c9b", "text": "Instacart launched Ultrafast Delivery in Miami two months ago and wants to measure its impact on user order volume.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "42455bcc", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "bd67b9fb", "text": "Design an approach to estimate the feature’s causal impact on orders. How would you choose an appropriate control geography? Describe the mechanics of your chosen method (e.g., DiD, synthetic control, propensity-score matching). If using a linear mixed-effects model, which variables are fixed versus random?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "deb7dc13", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "06517b7a", "text": "Cover identification, parallel-trend checks, robustness tests, and metric calculation.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}