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Informationen zum Autor 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. Klappentext 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 ¿ 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.
List of contents
Chapter 1: The Changing World of UX
Chapter 2: Data to the Rescue
Chapter 3: Stats! It's Easier Than You Think
Chapter 4: Unmoderated Remote Usability Tests
Chapter 5: Surveys
Chapter 6: Good Old Usability Tests
Chapter 7: Persona Development
Chapter 8: Field Studies
Chapter 9: Live Website Data
Chapter 10: Card Sorting Data
Chapter 11: Case Studies - Tips from the Real World
Report
"The writing is clear and lucid. The authors make highly technical content, including the use of necessary equations, readable and understandable. all UX researchers, no matter their experience level, should find this book valuable and so it is recommended." --Computing Reviews