{"blocks": [{"key": "bac2a3fd", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f4a1ebdc", "text": "Account-partner team acquires new merchants onto the marketplace, and leadership wants to quantify how well that program works.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "08577be2", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "1cc3284a", "text": "a) Which core success metrics would you report to evaluate account-partner onboarding performance?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "55f58b91", "text": "b) Without randomized experiments, how would you estimate causal impact—e.g., using difference-in-differences?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f144c962", "text": "c) If account partners mainly sign seafood restaurants, how would you build a propensity-score or synthetic-control comparison group and which merchant attributes would you match on?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "4b21d525", "text": "d) How would you model the relationship between acquisition cost and incremental revenue, and why might a logistic rather than linear curve be appropriate?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "60851448", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "11018386", "text": "Think causal inference, merchant-level covariates (location, cuisine, size, tenure), parallel-trend checks, and diminishing-return economics.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}