{"blocks": [{"key": "5878cd9b", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "7c7647dc", "text": "You are the product data scientist responsible for boosting the platform’s daily login rate.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f7c1578e", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "fe909c54", "text": "If tasked with increasing user login rate, what key metrics would you define, monitor, and prioritize? How would you justify each metric’s inclusion and structure a dashboard or report around them?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2f090d0e", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "ad482ecf", "text": "Think frequency, retention, funnel drop-offs, segmentation, leading vs lagging indicators.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}