{"title":"数据驱动的用户体验设计","authors":"Rae Yule Kim","doi":"10.1145/3603717","DOIUrl":null,"url":null,"abstract":"By analyzing data, UX designers can make more-accurate predictions about what users want based on past trends. Sometimes, they can learn about unforeseen competitive advantages from customer data, which can be used to enhance customer experiences by tailoring the products and services to meet their needs. In addition, UX designers can better mitigate an unforeseen risk by detecting an anomaly in user satisfaction before the damaging trend becomes too big to manage. Overall, when used adequately, data can help UX designers make better decisions, optimize operations, and manage risks.","PeriodicalId":73404,"journal":{"name":"Interactions (New York, N.Y.)","volume":"30 1","pages":"56 - 58"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Data-Driven User Experience Design\",\"authors\":\"Rae Yule Kim\",\"doi\":\"10.1145/3603717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By analyzing data, UX designers can make more-accurate predictions about what users want based on past trends. Sometimes, they can learn about unforeseen competitive advantages from customer data, which can be used to enhance customer experiences by tailoring the products and services to meet their needs. In addition, UX designers can better mitigate an unforeseen risk by detecting an anomaly in user satisfaction before the damaging trend becomes too big to manage. Overall, when used adequately, data can help UX designers make better decisions, optimize operations, and manage risks.\",\"PeriodicalId\":73404,\"journal\":{\"name\":\"Interactions (New York, N.Y.)\",\"volume\":\"30 1\",\"pages\":\"56 - 58\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Interactions (New York, N.Y.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3603717\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interactions (New York, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3603717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
By analyzing data, UX designers can make more-accurate predictions about what users want based on past trends. Sometimes, they can learn about unforeseen competitive advantages from customer data, which can be used to enhance customer experiences by tailoring the products and services to meet their needs. In addition, UX designers can better mitigate an unforeseen risk by detecting an anomaly in user satisfaction before the damaging trend becomes too big to manage. Overall, when used adequately, data can help UX designers make better decisions, optimize operations, and manage risks.
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