{"blocks": [{"key": "050f4c5a", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "3504804e", "text": "The team must decide on three courier-related initiatives: (1) launch a Top Dasher program that routes higher-quality orders to top performers, (2) add extra pay incentives to raise Dasher engagement, and (3) switch Dasher compensation from per-order to per-time.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "de29c039", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a933c2cf", "text": "How would you design an experiment to evaluate the Top Dasher program and determine whether it should be launched? Which metrics and success criteria would you track? 2) How would you precisely define Dasher response rate, what levers could improve it, and how would you structure and analyze an A/B test for the extra pay incentive program? 3) Compare paying Dashers by time versus by completed orders: outline the pros and cons of each model and propose an empirical test to decide which is preferable.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "ce27b2a1", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "8547ea44", "text": "Discuss metric selection, experiment design, statistical power, potential biases, and business trade-offs.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}