{"blocks": [{"key": "ca33ab62", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "69754d2b", "text": "A key business metric suddenly spikes or drops; leadership asks for a root-cause analysis and later wants to run an A/B test on a proposed fix.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5b9ece52", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "321f51dd", "text": "How would you systematically investigate the cause of a sudden change in a core metric? 2. Outline the essential steps, assumptions, and success criteria for designing and analyzing an A/B experiment to validate a potential solution.", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "76ccd318", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d8cba58b", "text": "Think root-cause frameworks (segmentation, funnel, time), define control/treatment, randomization, power, sample size, success metric.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}