{"blocks": [{"key": "1b076dba", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d1a3c68f", "text": "DoorDash uses account partners to acquire new merchants and needs to evaluate the program’s effectiveness", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "1d92a379", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "02a41849", "text": "a) What success metrics would you track to judge account-partner performance for merchant onboarding?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a05753ac", "text": "b) Without an A/B test, how would you use observational data (e.g., difference-in-differences) to estimate lift?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "ab2ba5c1", "text": "c) If account partners recruit mainly seafood restaurants, how would you create a comparable control group (e.g., propensity-score matching, synthetic control) and what covariates would you include?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "e48eb635", "text": "d) How would you model the relationship between partner-acquisition spend and incremental revenue, and why might a logistic form be more appropriate than a linear one?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "170883af", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "ee987fb9", "text": "Think causal inference: parallel trends, matching, key attributes; include geo, cuisine, traffic. Explain diminishing returns in spend–response curve.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}