{"blocks": [{"key": "9232d1a5", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "92336d2a", "text": "DoorDash wants to understand and forecast the difference between on-platform menu prices and in-store prices (\"inflation gap\").", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "e640b35e", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "83da1d83", "text": "Outline an end-to-end analysis to measure current price inflation on the platform versus in-store, forecast future inflation, and compute confidence intervals or sample-size requirements when no A/B test is feasible.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "57e82b9e", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a730636e", "text": "Cover data sources, matching identical items, time-series models, bootstrapped CIs, power analysis assumptions.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}