Improving the User Experience through Practical Data Analytics is your must-have resource for making UX design decisions based on data, rather than hunches. Authors Fritz and Berger help the UX professional recognize and understand the enormous potential of the ever-increasing user data that is often accumulated as a by-product of routine UX tasks, such as conducting usability tests, launching surveys, or reviewing clickstream information. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data. You'll be able to more effectively delight your customers, reduce costs, improve productivity ¾ and increase your bottom line. By mastering the use of these techniques, you'll gain meaningful insight and a powerful competitive advantage for your company-and yourself.
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Mike Fritz has been helping businesses make their products both more usable and useful for over 20 years. An ardent proponent of the user-centered design process, he’s helped to maximize the user experience for Verizon, Monster, GlaxoSmithKline, Lilly, Forrester, Rue La La, and Peoplefluent, among others. He holds a Masters in Science in Human Factors in Information Design from Bentley University.
Paul D. Berger is a Visiting Scholar and Professor of Marketing at Bentley University, where he is also the director of the Master of Science in Marketing Analytics (MSMA) program. He earned his S.B., S.M., and Ph.D. degrees from the Massachusetts Institute of Technology, Sloan School of Management. He has published several books, including Internet Marketing and Experimental Design, and won the Metcalf Award, a university-wide award for teaching excellence, and the John R. Russell award for excellence in executive teaching.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Improving the User Experience through Practical Data Analytics shows you how to make UX design decisions based on data-not hunches. Authors Fritz and Berger help the UX professional recognize the enormous potential of user data that is collected as a natural by-product of routine UX research methods, including moderated usability tests, unmoderated usability tests, surveys, and contextual inquiries. Then, step-by-step, they explain how to utilize both descriptive and predictive statistical techniques to gain meaningful insight with that data. By mastering the use of these techniques, you'll delight your users, increase your bottom line and gain a powerful competitive advantage for your company-and yourself. Key features include: Practical advise on choosing the right data analysis technique for each project. A step-by-step methodology for applying each technique, including examples and scenarios drawn from the UX field. Detailed screen shots and instructions for performing the techniques using Excel (both for PC and Mac) and SPSS. Clear and concise guidance on interpreting the data output. Exercises to practice the techniques Englisch. Bestandsnummer des Verkäufers 9780128006351
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