{"blocks": [{"key": "4f26c1fa", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "e5144d99", "text": "A/B test that offers free users a free trial of the paid plan; dataset includes user_id, treatment assignment, sign-ups and cancels.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "7550fb1a", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "cbbc9092", "text": "Which primary metrics would you track to measure the free-trial’s impact on subscription behaviour? Define each metric precisely. Calculate the lift in conversion to paid subscription between treatment and control and test whether the difference is statistically significant. Estimate the treatment effect on churn (cancels) within 30 days. Is the effect practically meaningful? Given your results, would you recommend rolling the free-trial out to all users? Justify your answer.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "baf66343", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "bd155970", "text": "Choose consistent denominators, run two-sample tests, and discuss both statistical and business significance.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}