{"blocks": [{"key": "d9ac6c19", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "c66d2cb2", "text": "Building a dynamic-pricing algorithm for Lyft that balances rider demand, driver supply and company revenue.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "c7c52a5b", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a4b2df9d", "text": "If you were tasked with building Lyft’s dynamic-pricing model, what features and data would you include, and how would you balance trade-offs between demand, supply, fairness and revenue?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a919b0ec", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "ae79b45e", "text": "Discuss real-time demand/supply, historical trends, weather, traffic, elasticity signals, model choice and constraints.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}