{"blocks": [{"key": "af0cae74", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2413bd55", "text": "An e-commerce company deploys euro-chat chatbot to handle B2C customer-service inquiries.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "7ca2fe63", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "9c2b1190", "text": "How would you define a primary success metric for the euro-chat customer-service chatbot? What guardrail metrics would you track? Describe an experiment you would run to test whether the chatbot improves customer experience.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "c7ff12fd", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2ca6da28", "text": "Consider resolution rate, CSAT and handle time. Outline control/treatment, randomisation unit, success threshold, sample sizing, and monitoring.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}