Improving the User Experience through Practical Data Analytics: Gain Meaningful Insight and Increase Your Bottom Line

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9780128006351: Improving the User Experience through Practical Data Analytics: Gain Meaningful Insight and Increase Your Bottom Line

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, along with access to sample data on the companion website.
  • Practical guidance on choosing the right data analysis technique for each project.
  • Real-world examples to build a theoretical and practical understanding of key concepts from consumer and financial verticals.
  • A step-by-step methodology for applying each predictive technique, including detailed examples.
  • A detailed guide to interpreting the data output and examples of how to effectively present the findings in a report.
  • Exercises to learn the techniques, along with access to sample data on the companion website.

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Product Description:

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.

  • Practical guidance on choosing the right data analysis technique for each project.
  • Real-world examples to build a theoretical and practical understanding of key concepts from consumer and financial verticals.
  • A step-by-step methodology for applying each predictive technique, including detailed examples.
  • A detailed guide to interpreting the data output and examples of how to effectively present the findings in a report.
  • Exercises to learn the techniques, along with access to sample data on the companion website.

About the Author:

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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Book Description ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. Book Condition: New. 228 x 194 mm. Language: English . Brand New Book. 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, along with access to sample data on the companion website. * Practical guidance on choosing the right data analysis technique for each project.* Real-world examples to build a theoretical and practical understanding of key concepts from consumer and financial verticals.* A step-by-step methodology for applying each predictive technique, including detailed examples.* A detailed guide to interpreting the data output and examples of how to effectively present the findings in a report.* Exercises to learn the techniques, along with access to sample data on the companion website. Bookseller Inventory # AAZ9780128006351

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Book Description ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. Book Condition: New. 228 x 194 mm. Language: English . Brand New Book. 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, along with access to sample data on the companion website. Bookseller Inventory # AAZ9780128006351

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Book Description Elsevier Science & Technology. Paperback. Book Condition: new. BRAND NEW, Improving the User Experience Through Practical Data Analytics: Gain Meaningful Insight and Increase Your Bottom Line, Mike Fritz, Paul D. Berger, 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, along with access to sample data on the companion website. * Practical guidance on choosing the right data analysis technique for each project.* Real-world examples to build a theoretical and practical understanding of key concepts from consumer and financial verticals.* A step-by-step methodology for applying each predictive technique, including detailed examples.* A detailed guide to interpreting the data output and examples of how to effectively present the findings in a report.* Exercises to learn the techniques, along with access to sample data on the companion website. Bookseller Inventory # B9780128006351

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