{"blocks": [{"key": "2a3269ea", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "0221a09d", "text": "Partner-referral channel suddenly shows a sharp fall in first-time purchasers after a new splash pop-up asking visitors to download the mobile app was launched.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "3cccdf33", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "1e1e94d7", "text": "How would you investigate and confirm that the pop-up caused the drop in conversions from partner links? Assuming online traffic is unchanged, how would you quantify the trade-off between app-download uplift and lost first-purchase conversions? What metrics and experiment design would you propose to decide whether to keep, modify, or remove the pop-up?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a098d5bb", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "0a23e6e4", "text": "Map user funnel, build pre/post or A/B test, measure incremental value of app installs vs. lost orders, control for seasonality and partner mix.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}