Вернуться к UX Research at Scale: Surveys, Analytics, Online Testing
Отзывы учащихся о курсе UX Research at Scale: Surveys, Analytics, Online Testing от партнера Мичиганский университет
4.3
Оценки: 23
О курсе
This UX course will provide an overview of survey methodology from the perspective of UX research. UX surveys typically focus on uncovering user needs, connecting needs to user characteristics, and gaining insight into user attitudes towards systems they use. In this course, learners will learn the basics of UX survey research and conduct a survey of their own design!
Learners will be introduced to techniques for gaining UX insights from large numbers of users, including web analytics, A/B testing, and remote unmoderated studies. We will discuss how these techniques work, when they can be applied, and what can be learned by using them.
What You’ll Learn:
-Learn how web analytics works and how to analyze analytics data
-Understand how to develop A-B tests, before/after, and multivariate experiments
-Learn how to set up and analyze remote unmoderated testing studies
-Analyze and report on large scale user experience studies Learn about the different types and uses of surveys in UX research
-Understand the survey population: when to sample, when to recruit
-Develop a survey instrument that meets your requirements
-Analyze and report on surveys
-Learn to critique user surveys
Фильтр по:
1–3 из 3 отзывов о курсе UX Research at Scale: Surveys, Analytics, Online Testing
автор: Christopher C
•May 14, 2019
The second instructor, Hogan, really needs to work on her slides, as well as explain concepts thoroughly. The 5th quiz was extremely difficult, as it seemed none of the content was discussed by her. Also, the interview in week was a complete waste of my time, seemed like Hogan was just winging it and gained no valuable information. The modules with Hogan truly need work.
автор: William S
•May 19, 2019
Very detailed examples.
автор: Kelsey S
•Jul 11, 2019
The course was very lecture-heavy. I learned a lot about surveys because there were many concrete practices and examples. I learned very little about analytics. The grading was not rigorous and I received little peer feedback.
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