{"blocks": [{"key": "397c68cd", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "793af522", "text": "Instagram is considering adding a 'Show similar products' button to boost user engagement, but the feature has not launched yet.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "90c6a370", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "93603957", "text": "How would you convince the Product Manager that the feature is necessary before any launch data exists? Using only the existing interaction data, what proxy metric(s) would you choose to estimate the feature’s potential impact on engagement? How would you design an experiment to decide whether to launch the button, including randomization unit, control versus treatment, and guardrail metrics? What criteria would signal it is safe to roll the feature out broadly?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "177e1293", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "0d93f713", "text": "Link metrics to engagement, propose historical baselines, cluster randomization to reduce network effects, set significance level and guardrails for health metrics.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}