{"blocks": [{"key": "4f948b6a", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "8c5f5c2e", "text": "Instagram is launching an in-app Shopping feature. Leadership wants to understand the business impact after release.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "bc4bcffa", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "27691606", "text": "How would you design an experiment to measure the impact of the Shopping feature on user engagement and revenue? Which metrics and success criteria would you monitor and why? How would you deal with potential selection bias or network effects?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "37e2f51a", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "fdbe885d", "text": "Think A/B vs. hold-out, north-star metrics, guard-rails, diff-in-diff.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}