[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-572950-105":53,"doc-detail-572950-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","product-case-interview-cheat-sheet-emma-ding","PRODUCT CASE INTERVIEW - CHEAT SHEET - EMMA DING","","Product case interview cheat sheet focused on succeeding in analytics-oriented product sense interviews. It explains how to ace measuring success with sample questions, define goals and functionality, follow user journeys/funnels, and select success and guardrail metrics for A/B tests and marketplaces. It also covers designing experiments, interpreting results, diagnosing product metric drops, narrowing scope, segmenting users/features, decomposing metrics, and concluding investigations. Finally, it outlines steps to improve retention and engagement by analyzing user behaviors and identifying friction points.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/product-case-interview-cheat-sheet-emma-ding/572950/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/product-case-interview-cheat-sheet-emma-ding/572950.png","ImageObject",442,249,{"name":88,"@type":89},"Ben ","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-19","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":9},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the main purpose of product case interviews?","Question",{"text":108,"@type":109},"They assess product sense by requiring you to identify, define, and apply metrics that measure product performance, demonstrating you can support data-driven decisions.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How do you measure whether a product feature is doing well (success metrics)?",{"text":113,"@type":109},"Clarify the goal and functionality, follow the user journey/funnel, then define 1–2 success metrics for A/B tests (and add guardrail metrics for two-sided or multi-sided marketplaces).",{"name":115,"@type":106,"acceptedAnswer":116},"What should you do when diagnosing a drop or decline in a product metric?",{"text":117,"@type":109},"Clarify what changed and when, determine whether the change is sudden or gradual, segment users/features, decompose the metric into components, narrow the cause, and summarize findings with hypotheses for discussion.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},572950,1792392014,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":9,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":140,"read_time":76},2336478951081,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","PRODUCT CASE INTERVIEW  \nCHEAT SHEET  \nEMMA DING | ALL RIGHTS RESERVED  \nIf you want to be a data scientist, especially one focused on  \nanalytics, then you have to be able to ace product case interviews.  \nProduct case interviews are designed to measure your product sense. You need to be able to identify, define, and use metrics to measure a company’s products. Demonstrating these skills proves that you can help the company make data-driven decisions.  \nHowever, knowing what you need to do in a product case interview is only half the battle. Product case interviews are tricky, even for experienced data scientists. The problems can be ambiguous, there are lots of different types of products you may be asked about, and there is far less practice available online compared to other technical interviews like SQL and coding.  \nThat’s what this cheat sheet is here to help fix! This sheet walks you through several sample problems and gives you steps for addressing those problems. By looking at clear examples, you’ ll begetting clarity about what to expect in a product case interview and practice developing answers.  \nThe sample questions are broken into the six most common types of questions you will find in a product case interview:  \n2  \nEMMA DING | ALL RIGHTS RESERVED  \nMeasuring Success  \nSample Questions  \nInstagram is launching a Story feature. How can you tell it’s doing well?  \nIf Uber is rolling out a referral program for riders, what metrics would you use to measure its success?  \n1  \nSteps  \nUnderstand the goal  \nWhat to do?  \nUnderstand the functionality of the feature  What does the feature do?  \n How is it used?  \n Who is it for?  \nUnderstand the goal  \n Make an educated guess and doublecheck with the interviewer  \n Or ask the interviewer  \n 2  \n 3  \nFollow the user journey or funnel  \nDefine metrics  \nUser journey  \n How do users see the feature?  \n How do they navigate through the product?  \n How do they interact with it? Experience funnel  \n Only a certain percentage of users will progress through each step of the funnel  \nDefine 1 to 2 success metrics  \nFor A/ B tests  \n Define 1 guardrail metric  \nFor two-sided/three-sided marketplace  \n Define more metrics if the interviewer requires  \n3  \nEMMA DING | ALL RIGHTS RESERVED  \nLaunch or Not  \nSample Questions  \nHow would you set up an experiment to understand a feature change in Quora? How would you decide to launch it or not if engagement within a specific segment decreased while all the rest increased?  \n What would you change in the Twitter app? How would you test if the proposed change is effective or not?  \nSteps What to do?  \n 1   \n 4  \n 5  \n2 3  \nDesign experiments  \nInterpret results  \nSame as Step 1-3 in “Measuring Success”  \nExperimental design steps  \n Definitions of control and treatment groups  \n Randomization unit  \n Experiment run-time  \n Common pitfalls and fixes  \n Long-term monitoring  \nLaunch if  \n Success metrics are all practically and statistically significant  \n No violation of assumptions  \n No negative change of guardrail metrics Do not launch if  \n Violation of assumptions  \n Negative change of guardrail metrics Discuss trade-offs  \n Unify both positive and negative impact to one metric  \n Segmentation of positive and negative on user groups and features  \n Discuss whether the overall result is desirable  \n4  \nEMMA DING | ALL RIGHTS RESERVED  \nDiagnosing a Problem  \nSample Questions  \nHow to investigate a 10% drop of the friend requests on Facebook?  \nAverage ETA of Lyft/ Uber rides is up by 3 minutes. How would you investigate this problem?  \n Daily active users of Slack have gone down by 1% . How to investigate what happened? Is this something we should be concerned about?  \n We have a referral program in Doordash, but the response rate is very low. How do you diagnose this problem?  \n 1   \n 2  \nSteps  \nClarify the problem and the change of the metric  \nClarify the timeframe for the change  \nWhat to do?  \nClarify:  \n How things are defined ","cbCaioy6la2O7w9P","https://ap.wps.com/l/cbCaioy6la2O7w9P","pdf",439625,9,"English","# Measuring Success\n## Sample Questions\n## Steps\n# Launch or Not\n## Sample Questions\n## Steps\n# Diagnosing a Problem\n## Sample Questions\n## Steps\n# Improving a Product\n## Sample Questions\n## Steps","[{\"question\":\"What is the main purpose of product case interviews?\",\"answer\":\"They assess product sense by requiring you to identify, define, and apply metrics that measure product performance, demonstrating you can support data-driven decisions.\"},{\"question\":\"How do you measure whether a product feature is doing well (success metrics)?\",\"answer\":\"Clarify the goal and functionality, follow the user journey/funnel, then define 1–2 success metrics for A/B tests (and add guardrail metrics for two-sided or multi-sided marketplaces).\"},{\"question\":\"What should you do when diagnosing a drop or decline in a product metric?\",\"answer\":\"Clarify what changed and when, determine whether the change is sudden or gradual, segment users/features, decompose the metric into components, narrow the cause, and summarize findings with hypotheses for discussion.\"}]","PRODUCT CASE INTERVIEW - CHEAT SHEET - EMMA DING | PDF",1791930214]