{"blocks": [{"key": "7706a6a6", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "58766c57", "text": "Product analytics for a new Circle feature (similar to Facebook Groups) on a social platform.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "43fb9c41", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "80d97782", "text": "Define the success metrics you would track for Circle; omit guardrail metrics and cannibalization concerns. Using only retrospective data, decide whether Circle should optimize for small private groups (≈5–6 members) or large public groups (tens–hundreds). Detail your analysis. Given three plotted lines of total comments per total posts across different products, can they be directly compared? Explain.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "e45ccbec", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "57c73d2f", "text": "Focus on engagement/retention metrics, cohort normalization, and differences in user base sizes.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}