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Data-Informed Design

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InfiniteSkills - Data-Informed Design

3.5 hours | MP4 | AVC 1280x720 15 fps | AAC 48KHz 2Chs | 959 MB
Genre: eLearning | Language: English
User experience designers today understand the importance of using data to drive the design choices made during the software development process. But what types of data do you need? How do you collect it? And what should you do with the data once you have it? In this video, UX design pro Jen Matson shows you how to identify, acquire, and analyze data that not only tells you WHAT your users do when they use your products, but WHY they do it. Understanding the WHY, says Matson, is the key to better design.

- Discover the design issues that arise when you misinterpret data?or fail to use data, period

- Understand the kinds of data you need to best inform your design decisions

- Review the best data gathering and analysis tools: Google Analytics, Optimizely, and Tableau

- Identify what your project team should test prior to launch

- Learn ways to create testable hypotheses by connecting user profiles to project goals

- Explore the use of opt-in betas and A/B tests during product roll-outs

- Figure out if and when your design tests have reached statistical significance

- Learn how to use analytics data to validate or modify your designs

Jen Matson is a UX designer with over twenty years of experience designing and building websites for companies such as Amazon, Comedy Central, LEGO, and T-Mobile. She is currently the Senior UX Designer at RealSelf in Seattle, WA.

Data-Informed Design

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  1. 今天的用户体验设计者懂得在软件开发过程中使用数据作出设计选择的重要性.但是何种类型的数据是你所需要的呢?又如何收集呢?一旦你有了数据之后又要拿来做什么呢?在本教程中,UX设计专家Jen Matson会为你讲解如何识别、获取和分析数据,她不仅会告诉你当你的用户使用你的产品的时候做什么,还会让你知道他们为何这样做。正如Matson所说的那样,知道了原因这才是更加设计的关键。 主要内容:误读数据所发生的问题;理解影响设计决定的各种数据;评估最佳数据收集和分析工具:Google Analytics、Optimizely和Tableau;识别项目团队在执行前需要测试的;学习创建可测试假设的方法;探索使用最有方案的方法;发现设计测试是否达到统计学上的显著性;学习如何使用分析数据校验或修改你的设计。
    wilde(特殊组-翻译)1年前 (2016-01-08)