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Improving the User Experience through Practical Data Analytics
Gain Meaningful Insight and Increase Your Bottom Line
Make data-driven UX design decisions using statistical techniques to gain insight from the ever-increasing amounts of user data
Mike Fritz (Author), Paul D. Berger (Author)
9780128006351, Elsevier Science
Paperback, published 6 March 2015
396 pages
23.4 x 19 x 2.5 cm, 0.77 kg
"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
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:
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
Subject Areas: Human-computer interaction [UYZ], Management decision making [KJMD]
