{"blocks": [{"key": "84ade68b", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "98dc5d67", "text": "The team plans to launch a group video-call feature and needs analytic guidance.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "58e9db47", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "e8f5cde1", "text": "Given access to richer data (messages, friend graphs, surveys), how would you quantify latent demand for group video calling? Define the primary success metrics and experimental design you would use to evaluate a group-call launch. Using data, how would you select an initial cap on the number of participants allowed in a group call?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "da44c6dc", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "8990b535", "text": "Discuss interaction clustering, A/B tests, retention, percentile analysis, engineering cost versus user coverage.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}