{"blocks": [{"key": "eb6fcfc0", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "e2aaf4ff", "text": "DoorDash plans to launch a bike-courier delivery option and wants to assess whether, where, and how to roll it out successfully.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "46831f1c", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5bc9840c", "text": "From DoorDash’s perspective, why launch a bike delivery option? What criteria would define success for the bike feature? How would you decide whether to launch in all markets or focus on urban/downtown areas? Which metrics (short-term, long-term, guardrail) would you track to judge success? How would you evaluate the feature’s impact, accounting for network effects? Describe how you would design and run an A/B test to measure the feature’s effectiveness. What data would you gather to assess downtown market suitability?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2ef4fe8c", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "abfc92dd", "text": "Consider marketplace balance for consumers, dashers, restaurants, efficiency, cost, delivery time, pilot-market choice, and robust experiment design.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}