{"blocks": [{"key": "5110f321", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "781e5b8e", "text": "Food-delivery app wants to launch a \"Restaurants You May Know\" recommendation feature on the home page.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "65c91b16", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "633ef414", "text": "Why might users and the business need this feature? Describe how you would design the recommendation algorithm and end-to-end user experience. What experiment or metrics would you use to evaluate the feature’s impact?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "3fab7a34", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "ebc1ad59", "text": "Think CTR, order conversion, retention; propose A/B test and attribution window.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}