{"blocks": [{"key": "ca71defb", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "63ae08b7", "text": "Mini case with a senior analyst or hiring manager focused on diagnosing performance changes in core payroll metrics", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2932834c", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "67f8f8cc", "text": "Monthly payroll processing time has increased by 15% compared with the previous month. Using data, how would you investigate the root causes and recommend next steps?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "9a6acb61", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "048ad7b8", "text": "Lay out hypotheses, required datasets, cuts (time, geography, product tier) and an investigation sequence; finish with potential experiments or fixes.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}