Quantitative User Experience Research: Informing Product Decisions by Understanding Users at Scale
Chapman, Chris, Rodden, Kerry
相關主題
商品描述
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.
商品描述(中文翻譯)
這本書是關於量化使用者體驗（Quant UX）研究在產品開發中快速成長角色的權威指南。本書提供了您在工作中所需的技能概述，並提供了可重複使用的代碼的實踐項目，並分享了關於開始和發展職業生涯的建議。本書超越基本技能，專注於Quant UX的獨特之處。作者是Quant UX研究中最廣為人知的兩位從業者，本書分享了他們數十年的經驗見解。
如今，組織對於使用者需求和行為有比以往更多的數據。在這些大規模數據的基礎上，Quant UX研究人員致力於理解使用模式，測量設計變更的影響，並為戰略決策提供信息。在Quant UX角色中，跨學科研究人員應用分析技能來揭示使用者需求，為工程和設計提供信息，回答戰略業務問題，並優化軟件和硬件產品的人機交互。本書提供了關於客戶滿意度調查、從日誌分析中了解使用者行為以及常用的統計方法來評估使用者結果的指導。
您將學到什麼
- 了解量化使用者體驗（Quant UX）研究的角色
- 了解Quant UX研究與其他學科（如數據科學）的區別
- 計劃常見的研究項目並知道如何取得成功
- 將Quant UX活動定位於產品開發、工程和UX組織中
- 應用HEART框架來衡量使用者體驗結果
- 評估自己的技能和潛力，以成為一名Quant UX研究人員
- 了解求職面試時應該預期的情況
- 找到常見的Quant UX項目示例，並分享R代碼和數據集
本書適合對象
這本書適合尋求全面指南的從業者和管理人員，了解量化使用者體驗研究這個新領域。讀者將了解Quant UX的角色，建立研究技能，找到實踐代碼和分析的示例，了解UX組織和利益相關者，並獲得有關求職面試和職業發展的建議。數據科學家、社會科學家和其他研究人員將了解他們的技能如何轉移到Quant UX領域，以幫助團隊打造更好、更成功的產品。
作者簡介
Chris Chapman, PhD, is a Principal UX Researcher at Amazon Lab126, the Founder and Co-chair of the Quant UX Conference, and President of the Quantitative User Experience Association. Chris is the co-author of two popular Springer books on programming and analytics: R for Marketing Research and Analytics and Python for Marketing Research and Analytics. As a psychologist, Chris emphasizes the human focus of research and the need for integrated quantitative and qualitative understanding of users.
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.
作者簡介(中文翻譯)
Chris Chapman博士是亞馬遜實驗室126的首席UX研究員，Quant UX Conference的創辦人和聯合主席，以及Quantitative User Experience Association的會長。Chris是兩本在程式設計和分析領域廣受歡迎的Springer書籍的合著者，分別是《R for Marketing Research and Analytics》和《Python for Marketing Research and Analytics》。作為一位心理學家，Chris強調研究的人性化焦點，以及對使用者的定量和定性理解的整合需求。
Kerry Rodden博士是Code for America的高級主要研究員。Kerry於2007年在Google創立了Quantitative UX Research角色，並管理了業界首個Quant UX研究團隊。Kerry創造了一些受歡迎的工具和技術，包括用於使用者體驗的HEART指標框架和用於使用者行為的序列太陽花視覺化。Kerry的背景是計算機科學和人機交互，專注於大規模使用數據的分析和可視化，包括A/B測試。
