{"blocks": [{"key": "26de4b09", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5c4d623c", "text": "Design an A/B test to prove PayPal cashback delivers value to Walmart.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "6f14cc6b", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "27277ab5", "text": "How would you structure the experiment to measure value for Walmart? Define primary, secondary and guard-rail metrics. Describe your power analysis approach and explain p-value interpretation. If results miss the minimum detectable effect, what steps would you take? Power is insufficient but timeline cannot be extended—what alternatives (e.g., CUBED) can help?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "377814a2", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a2bd33ea", "text": "Show end-to-end experimental design: metric taxonomy, sample-size math, sequential testing or CUPED/CUBED fixes, and mitigation plans.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}