{"blocks": [{"key": "fd235152", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "9ab6ca92", "text": "Lyft sees a 20 % month-over-month increase in ride wait time.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "120ecade", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "9feb732e", "text": "How would you structure an analysis to identify the root causes of the 20 % wait-time increase? Assuming pricing might be the driver, how would you assess the costs and benefits of moving from static to dynamic pricing? How would you design an experiment to validate whether dynamic pricing reduces ETA while controlling demand–supply interference?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d66c0371", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "75e8bdb3", "text": "Define KPIs, slice by city/time, inspect supply-demand curves, driver availability, simulate cost-revenue trade-offs, choose switchback or geo-based tests to avoid network interference.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}