{"blocks": [{"key": "21c9efa2", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "eb39651e", "text": "Lyft notices ride wait times (ETA) have increased 20% month-over-month and is considering switching from static to dynamic pricing.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d0f241a9", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d3ba6b76", "text": "Ride wait times have grown by 20% MoM at Lyft. How would you systematically investigate the root causes? We suspect static pricing is the culprit. How would you assess the costs and benefits of moving to dynamic pricing? Design an experiment to test whether dynamic pricing reduces ETAs without negatively impacting other key metrics.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "df8c247b", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d02eb0b2", "text": "Think about rider/driver funnels, cohort analyses, geo splits, demand–supply interference, metric selection and experiment-design choices.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}