Authors:
The definitive guide to Quant UX research practice and careers
Presents projects, code, and advice for successful research
Covers the HEART Framework that is widely used in the field
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Table of contents (15 chapters)
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Front Matter
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User Experience and Quant UX
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Front Matter
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Core Skills
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Front Matter
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Tools and Techniques
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Front Matter
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Organizations and Careers
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Front Matter
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About this book
This book is your definitive guide to the rapidly growing role of Quantitative User Experience (Quant UX) Research in product development. The book provides an overview of the skills you need on the job, presents hands-on projects with reusable code, and shares advice on starting and developing a career. The book goes beyond basic skills to focus on what is unique to Quant UX. The authors are two of the most widely recognized practitioners in Quant UX research, and this book shares insights from their combined decades of experience.
Organizations today have more data about user needs and behaviors than ever before. With this large-scale data, Quant UX researchers work to understand usage patterns, measure the impact of design changes, and inform strategic decisions. In the Quant UX role, interdisciplinary researchers apply analytical skills to uncover user needs, inform engineering and design, answer strategic business questions, and optimize software and hardware products for human interaction. This book provides guidance around customer satisfaction surveys, understanding user behavior from log analysis, and the statistical methods that are commonly used to assess user outcomes.
What You Will Learn
- Discover the role of Quantitative User Experience (Quant UX) research
- Understand how Quant UX research differs from other disciplines such as data science
- Plan common research projects and know how to achieve success
- Position Quant UX activities in product development, engineering, and UX organizations
- Apply the HEART framework to measure user experience outcomes
- Evaluate your skills and potential to be hired as a Quant UX researcher
- Know what to expect during job interviews
- Find examples of common Quant UX projects with shared R code and data sets
Who This Book Is For
Practitioners and managers who seek a comprehensive guide to the new field of Quantitative User Experience Research. Readers will understand the Quant UX role, build research skills, find examples of hands-on code and analyses, learn about UX organizations and stakeholders, and receive advice on job interviews and career paths. Data scientists, social scientists, and other researchers will learn how their skills transfer to Quant UX, where they can help teams build better, more successful products.
Keywords
- Quant UX
- Quantitative User Experience
- Quantifying the User Experience
- Measuring the User Experience
- R Language
- Marketing Research and Analytics
- HEART Metrics Framework
- Customer Satisfaction Surveys
- Log Analysis and User Behavior
- User-Centered Research
- Statistics
Authors and Affiliations
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Seattle, USA
Chris Chapman
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San Francisco, USA
Kerry Rodden
About the authors
Kerry Rodden, PhD, is a Senior Principal Researcher at Code for America. Kerry founded the Quantitative UX Research role at Google in 2007 and managed the industry's first Quant UX research team. Kerry has originated popular tools and techniques, including the HEART metrics framework for user experience, and the sequences sunburst visualization of user behavior. Kerry’s background is in computer science and human-computer interaction, with a focus on the analysis and visualization of large-scale usage data, including A/B testing.
Bibliographic Information
Book Title: Quantitative User Experience Research
Book Subtitle: Informing Product Decisions by Understanding Users at Scale
Authors: Chris Chapman, Kerry Rodden
DOI: https://doi.org/10.1007/978-1-4842-9268-6
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books
Copyright Information: Chris Chapman and Kerry Rodden 2023
Softcover ISBN: 978-1-4842-9267-9Published: 01 June 2023
eBook ISBN: 978-1-4842-9268-6Published: 31 May 2023
Edition Number: 1
Number of Pages: XXI, 374
Number of Illustrations: 5 b/w illustrations, 37 illustrations in colour
Topics: Data Structures and Information Theory, Artificial Intelligence, Statistics, general