{"blocks": [{"key": "a5747889", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "10fdd3c8", "text": "Instagram plans to launch an in-app shopping feature and needs an analytical framework to size, test, and troubleshoot it.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "4edd9e1d", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "33a79f95", "text": "Estimate the annual revenue opportunity of introducing shopping on Instagram. Design an A/B test to measure the feature’s impact on GMV—state unit of randomization, primary and guardrail metrics, and sample-size approach. Mid-experiment, the treatment group’s conversion rate drops sharply. Outline a systematic troubleshooting plan.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "86c5170e", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "b5ad787b", "text": "Break sizing into TAM × adoption × take-rate, clarify success/failure metrics, and examine data, logging, and external factors when debugging.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}