{"blocks": [{"key": "fd91104e", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2b339fb7", "text": "Instagram plans an A/B experiment to evaluate the impact of group video calls.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "8bf8ff16", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "55443099", "text": "Design an end-to-end test: hypothesis, randomization unit, sample size and duration. How do you choose the randomization unit given strong network effects? If clustering is infeasible, what alternative designs mitigate interference? Which statistical tests would you apply to continuous versus proportion metrics? How would you present the experiment results to non-technical PMs versus data-science peers?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "dad6567b", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "6c2f1965", "text": "Discuss cluster vs. user-level assignment, geography splits, t-tests vs. z-tests, and storytelling for different audiences.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}