{"product_id":"138364","title":"Quant UX Research ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jXPCfErqXxXNreOQkKyL5uhjvYRLZ.png?v=1765062512\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Quant UX Research \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/154253060\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eQuantitative UX research that turns insights into numbers and intuition into evidence.\u003c\/b\u003e \u003cbr\u003eProven practical methodologies and expert career guidance\u003cbr\u003e\u003cbr\u003e \"Can the results of small-scale user interviews be applied to a million users?\" This is a perennial question in UX practice.\u003cbr\u003e While insights discovered through qualitative research are powerful, validating them at scale and persuading organizations requires numbers.\u003cbr\u003e Quantitative UX research fills this gap.\u003cbr\u003e We back up intuition with data, transforming abstract insights into measurable metrics, providing an objective basis for every design decision.\u003cbr\u003e\u003cbr\u003e This book is a practical bible, culminating in the proven methodologies of authors who pioneered quantitative UX at Google and Microsoft. It systematically guides you through the entire process: defining success metrics using the HEART framework, tracking actual user behavior with log analysis, and directly manipulating data with R code. \u003cbr\u003eIn particular, it is practical enough to be applied to work tomorrow, with reusable code examples and real-world project cases.\u003cbr\u003e We also provide a detailed career roadmap for growing into a new role as a quantitative UX researcher.\u003cbr\u003e A must-read for any practitioner who wants to create better user experiences with data.\u003cbr\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e Part 1. UX and Quantitative UX\u003cbr\u003e\u003cbr\u003e Chapter 1.\u003cbr\u003e Getting started\u003cbr\u003e 1.1 Who is the Author? Why You Should Read This Book\u003cbr\u003e 1.2 What is different about this book?\u003cbr\u003e 1.3 Who is the intended audience for this book?\u003cbr\u003e ____1.3.1 Check your interests\u003cbr\u003e 1.4 What will you learn from this book?\u003cbr\u003e 1.5 How to Use This Book\u003cbr\u003e ____1.5.1 Assumptions\u003cbr\u003e ____1.5.2 Note on Terminology\u003cbr\u003e ____1.5.3 Examples for each chapter\u003cbr\u003e 1.6 Online Resources\u003cbr\u003e ____1.6.1 Code and Data Sources\u003cbr\u003e ____1.6.2 Help, Updates, and Errors\u003cbr\u003e 1.7 Key Points\u003cbr\u003e \u003cbr\u003eChapter 2. UX and UX Research\u003cbr\u003e 2.1 User Experience\u003cbr\u003e ____2.1.1 UX Jobs\u003cbr\u003e ____2.1.2 UX Design and Software Engineering\u003cbr\u003e ____2.1.3 Product Management\u003cbr\u003e 2.2 UX Research\u003cbr\u003e ____2.2.1 Types of UXR\u003cbr\u003e ____2.2.2 UXR Research Lifecycle\u003cbr\u003e ____2.2.3 Typical Research Projects Along the Product Life Cycle\u003cbr\u003e 2.3 Key Points\u003cbr\u003e 2.4 Learn more\u003cbr\u003e\u003cbr\u003e Chapter 3.\u003cbr\u003e Quantitative UX Research: An Overview\u003cbr\u003e 3.1 Quantitative UX Research\u003cbr\u003e 3.2 Weekly Tasks of Quantitative UX Research\u003cbr\u003e ____3.2.1 General Weekly Activities\u003cbr\u003e ____3.2.2 Common Research Questions for Quantitative UXR\u003cbr\u003e ____3.2.3 Stakeholder Questions\u003cbr\u003e 3.3 Different Types of Quant UXR\u003cbr\u003e 3.4 Differences between Quant UXR and Other Jobs\u003cbr\u003e ____3.4.1 Quant UXR vs. General UXR\u003cbr\u003e ____3.4.2 Quantitative UXR vs. Mixed Methods UXR\u003cbr\u003e ____3.4.3 Quant UXR vs. Survey Scientist\u003cbr\u003e ____3.4.4 Quantitative UXR vs. Marketing Research\u003cbr\u003e ____3.4.5 Quant UXR vs. Data Scientist\u003cbr\u003e ____3.4.6 Quantitative UXR vs. Business or Product Analyst\u003cbr\u003e ____3.4.7 Quant UXR vs. Research Scientist \u003cbr\u003e____3.4.8 Quantitative UXR vs. Academic Research\u003cbr\u003e 3.5 Are you a good fit for the Quant UXR role?\u003cbr\u003e 3.6 Key Points\u003cbr\u003e 3.7 Learn more\u003cbr\u003e\u003cbr\u003e Part 2.\u003cbr\u003e Core technology\u003cbr\u003e\u003cbr\u003e Chapter 4. UX Research\u003cbr\u003e 4.1 Basic and Advanced Techniques for Quantitative UXR\u003cbr\u003e ____4.1.1 'T-shaped' technology\u003cbr\u003e 4.2 Focus on the user\u003cbr\u003e ____4.2.1 Adopting the User's Perspective\u003cbr\u003e ____4.2.2 Evaluating User-Centric Variables and Outcomes\u003cbr\u003e ____4.2.3 Answering the question 'why' with a cognitive approach\u003cbr\u003e ____4.2.4 Focus on Unmet Needs\u003cbr\u003e ____4.2.5 Implementing UX and Engaging with Stakeholders\u003cbr\u003e 4.3 Research Validity\u003cbr\u003e 4.4 User and Product Reviews\u003cbr\u003e 4.5 Research Ethics\u003cbr\u003e ____4.5.1 Risks and Benefits of Research\u003cbr\u003e ____4.5.2 Privacy and Legal Requirements\u003cbr\u003e ____4.5.3 Minimum collection amount\u003cbr\u003e ____4.5.4 Scientific Standards\u003cbr\u003e ____4.5.5 Impact on Society\u003cbr\u003e ____4.5.6 Newspaper Test\u003cbr\u003e 4.6 Research Plan\u003cbr\u003e 4.7 Key Points\u003cbr\u003e 4.8 Learn more\u003cbr\u003e\u003cbr\u003e Chapter 5.\u003cbr\u003e statistics\u003cbr\u003e 5.1 Why Statistics?\u003cbr\u003e ____5.1.1 Statistics vs. Machine Learning\u003cbr\u003e 5.2 Fundamentals: Sampling and Data Quality\u003cbr\u003e 5.3 Core Statistical Analysis Skills \u003cbr\u003e____5.3.1 Exploratory Data Analysis and Visualization\u003cbr\u003e ____5.3.2 Technical Statistics\u003cbr\u003e ____5.3.3 Inferential Statistical Tests and Substantive Significance\u003cbr\u003e ____5.3.4 A\/B Testing Basics\u003cbr\u003e ____5.3.5 Linear Model\u003cbr\u003e 5.4 Frequently Observed Problems\u003cbr\u003e ____5.4.1 Inaccurate or biased data\u003cbr\u003e ____5.4.2 Loss of perspective on decision-making due to focus on discovery\u003cbr\u003e ____5.4.3 Prematurely Assuming Results\u003cbr\u003e ____5.4.4 Interpreting Statistical Significance\u003cbr\u003e ____5.4.5 Applying Advanced Models\u003cbr\u003e 5.5 Key Points\u003cbr\u003e 5.6 Learn more\u003cbr\u003e 5.7 Questions and Examples\u003cbr\u003e\u003cbr\u003e Chapter 6.\u003cbr\u003e Programming\u003cbr\u003e 6.1 Overview\u003cbr\u003e ____6.1.1 The Need for Programming\u003cbr\u003e ____6.1.2 Programming Language\u003cbr\u003e 6.2 Procedural Programming Fundamentals\u003cbr\u003e ____6.2.1 Algorithm\u003cbr\u003e ____6.2.2 Data Structures\u003cbr\u003e 6.3 SQL\u003cbr\u003e 6.4 Other Coding Topics\u003cbr\u003e ____6.4.1 Code Reproducibility\u003cbr\u003e ____6.4.2 Performance and Scalability\u003cbr\u003e 6.5 Key Points\u003cbr\u003e 6.6 Learn more\u003cbr\u003e 6.7 Example\u003cbr\u003e\u003cbr\u003e Part 3.\u003cbr\u003e Analysis Tools and Techniques\u003cbr\u003e\u003cbr\u003e Chapter 7.\u003cbr\u003e User Experience Metrics\u003cbr\u003e 7.1 HEART Framework\u003cbr\u003e ____7.1.1 Happiness\u003cbr\u003e ____7.1.2 Participation\u003cbr\u003e ____7.1.3 Adoption\u003cbr\u003e ____7.1.4 Retention\u003cbr\u003e ____7.1.5 Task Success \u003cbr\u003e7.2 Goal-Signal-Indicator Process\u003cbr\u003e ____7.2.1 Objectives\u003cbr\u003e ____7.2.2 Signal\u003cbr\u003e ____7.2.3 Indicators\u003cbr\u003e 7.3 Method Integration Application\u003cbr\u003e 7.4 Gmail Label Redesign\u003cbr\u003e 7.5 Lessons Learned from Experience\u003cbr\u003e ____7.5.1 Individual Traps\u003cbr\u003e ____7.5.2 Organizational Issues\u003cbr\u003e 7.6 Key Points\u003cbr\u003e 7.7 Learn more\u003cbr\u003e 7.8 Example\u003cbr\u003e\u003cbr\u003e Chapter 8.\u003cbr\u003e Customer Satisfaction Survey\u003cbr\u003e 8.1 Objectives of the CSat Program\u003cbr\u003e 8.2 Components of Customer Research\u003cbr\u003e ____8.2.1 Customer population and sample\u003cbr\u003e ____8.2.2 Survey Mechanism\u003cbr\u003e ____8.2.3 Sequence Evaluation\u003cbr\u003e ____8.2.4 Subjective Opinion\u003cbr\u003e ____8.2.5 Demographic and Behavioral Information\u003cbr\u003e ____8.2.6 Comparison over time instead of between groups\u003cbr\u003e ____8.2.7 Follow-up with stakeholders and customers\u003cbr\u003e 8.3 Common Problems in CSat Analysis\u003cbr\u003e 8.4 Example Analysis Using R\u003cbr\u003e ____8.4.1 Initial Data Check\u003cbr\u003e ____8.4.2 CSat for a specific period\u003cbr\u003e ____8.4.3 CSat over time\u003cbr\u003e ____8.4.4 TOP 2 Box Ratio\u003cbr\u003e ____8.4.5 Is CSat Changing? Initial Analysis\u003cbr\u003e ____8.4.6 Country-by-Country Review\u003cbr\u003e ____8.4.7 A better model for CSat changes in data \u003cbr\u003e8.5 Key Points\u003cbr\u003e 8.6 Learn more\u003cbr\u003e 8.7 Example\u003cbr\u003e\u003cbr\u003e Chapter 9.\u003cbr\u003e Log sequence visualization\u003cbr\u003e 9.1 Example Sequence Data\u003cbr\u003e ____9.1.1 Sunburst chart for buffet data\u003cbr\u003e 9.2 Sunburst Visualization of Website Data\u003cbr\u003e ____9.2.1 Converting logs to sequences\u003cbr\u003e ____9.2.2 Sunburst Visualization of EPA Data\u003cbr\u003e ____9.2.3 Additional Analysis Steps\u003cbr\u003e 9.3 Key Points\u003cbr\u003e 9.4 Learn more\u003cbr\u003e 9.5 Example\u003cbr\u003e\u003cbr\u003e Chapter 10.\u003cbr\u003e MaxDiff: Prioritizing Features and User Requirements\u003cbr\u003e 10.1 MaxDiff Overview\u003cbr\u003e ____10.1.1 MaxDiff Analysis Example\u003cbr\u003e ____10.1.2 Calculating Pizza Demand\u003cbr\u003e ____10.1.3 Summary of MaxDiff's Advantages\u003cbr\u003e 10.2 A Detailed Introduction to MaxDiff Estimation\u003cbr\u003e ____10.2.1 Common UX Topics in the MaxDiff Survey\u003cbr\u003e ____10.2.2 Creating and Distributing a MaxDiff Survey\u003cbr\u003e ____10.2.3 Survey Creation Platform\u003cbr\u003e ____10.2.4 MaxDiff and Accessibility\u003cbr\u003e ____10.2.5 MaxDiff statistical model\u003cbr\u003e 10.3 Example: Information Exploration Use Case\u003cbr\u003e ____10.3.1 MaxDiff Overview for Information Exploration\u003cbr\u003e ____10.3.2 Survey Format\u003cbr\u003e ____10.3.3 Data Format\u003cbr\u003e ____10.3.4 Estimation using the choicetools package \u003cbr\u003e____10.3.5 Next Steps\u003cbr\u003e 10.4 Key Points\u003cbr\u003e 10.5 Learn more\u003cbr\u003e 10.6 Example\u003cbr\u003e\u003cbr\u003e Part 4.\u003cbr\u003e Organization and Career\u003cbr\u003e\u003cbr\u003e Chapter 11. UX Organization\u003cbr\u003e 11.1 General UX Organizational Model\u003cbr\u003e ____11.1.1 Job-Based Organization\u003cbr\u003e ____11.1.2 Product-Oriented Organization\u003cbr\u003e 11.2 Other Organizational Models for Quantitative UXR\u003cbr\u003e ____11.2.1 Centralized Quantitative UX Research Team\u003cbr\u003e ____11.2.2 Quantitative UX for Data Science or Analytics Teams\u003cbr\u003e 11.3 Advice for Quantitative UXR Managers\u003cbr\u003e ____11.3.1 Stakeholders and Access to Data\u003cbr\u003e ____11.3.2 Blocking random requests\u003cbr\u003e ____11.3.3 Opportunities for Growth\u003cbr\u003e ____11.3.4 Help with Proving Influence\u003cbr\u003e ____11.3.5 Do not disturb\u003cbr\u003e 11.4 Key Points\u003cbr\u003e 11.5 Learn more\u003cbr\u003e\u003cbr\u003e Chapter 12.\u003cbr\u003e Interview and Job Postings\u003cbr\u003e 12.1 Typical Quantitative UXR Interview Process\u003cbr\u003e 12.2 Two Formats of Interview Panels\u003cbr\u003e ____12.2.1 Format 1: Interview Loop\u003cbr\u003e ____12.2.2 Format 2: Practical Interview\u003cbr\u003e ____12.2.3 Interviewer Evaluation Method\u003cbr\u003e ____12.2.4 Hiring Decision Maker\u003cbr\u003e 12.3 Before, During, and After the Field Interview \u003cbr\u003e____12.3.1 Before the Interview: What the Company Should Do\u003cbr\u003e ____12.3.2 Before the Interview: What Applicants Should Prepare\u003cbr\u003e ____12.3.3 Interview in progress\u003cbr\u003e ____12.3.4 After the interview\u003cbr\u003e 12.4 Job Announcements and Applications\u003cbr\u003e ____12.4.1 Finding Job Information\u003cbr\u003e ____12.4.2 Other suggestions for completing the application\u003cbr\u003e 12.5 Key Points\u003cbr\u003e 12.6 Learn more\u003cbr\u003e\u003cbr\u003e Chapter 13.\u003cbr\u003e Research Process, Reporting, and Stakeholders\u003cbr\u003e 13.1 Initial Stakeholders\u003cbr\u003e ____13.1.1 Stakeholder Demands and Needs\u003cbr\u003e ____13.1.2 Focus on decision making\u003cbr\u003e ____13.1.3 Reverse Operation\u003cbr\u003e 13.2 Results Report\u003cbr\u003e ____13.2.1 Stakeholders as Users of Research\u003cbr\u003e ____13.2.2 Two Models: Presentation and Documentation\u003cbr\u003e 13.3 Principles of Good Results\u003cbr\u003e ____13.3.1 Concise and focused explanation for decision making\u003cbr\u003e ____13.3.2 Minimum Technical Report\u003cbr\u003e ____13.3.3 Bias exclusion\u003cbr\u003e ____13.3.4 Reproducibility and Generalizability\u003cbr\u003e 13.4 Research Archive\u003cbr\u003e 13.5 General Issues Concerning Stakeholders\u003cbr\u003e ____13.5.1 Absence of decision-making criteria\u003cbr\u003e ____13.5.2 Temporary Projects\u003cbr\u003e ____13.5.3 Opportunity Cost \u003cbr\u003e____13.5.4 Validation Research\u003cbr\u003e ____13.5.5 Statistical Significance\u003cbr\u003e ____13.5.6 Cherry Picking Results\u003cbr\u003e ____13.5.7 Conflicting Results\u003cbr\u003e ____13.5.8 Objection limited to negative results\u003cbr\u003e 13.6 Finding Good Stakeholders\u003cbr\u003e 13.7 Key Points\u003cbr\u003e 13.8 Learn more\u003cbr\u003e\u003cbr\u003e Chapter 14.\u003cbr\u003e Career Development for Quantitative UXRs\u003cbr\u003e 14.1 Key Elements of an Industry Career Path\u003cbr\u003e ____14.1.1 Rank\u003cbr\u003e ____14.1.2 Career Ladder\u003cbr\u003e ____14.1.3 Career Tracks: IC and Manager\u003cbr\u003e ____14.1.4 Distribution of ranks\u003cbr\u003e ____14.1.5 Choosing between IC and Manager\u003cbr\u003e 14.2 Issues regarding rank\u003cbr\u003e 14.3 Performance Evaluation and Promotion\u003cbr\u003e ____14.3.1 Performance Evaluation\u003cbr\u003e ____14.3.2 Influence\u003cbr\u003e ____14.3.3 Promotion\u003cbr\u003e 14.4 Personality and Goals\u003cbr\u003e ____14.4.1 Maximization vs.\u003cbr\u003e Satisfaction\u003cbr\u003e ____14.4.2 Builder vs.\u003cbr\u003e explorer\u003cbr\u003e 14.5 Building Skills in Your Career Path\u003cbr\u003e ____14.5.1 Skill Development Areas\u003cbr\u003e ____14.5.2 Finding a Mentor\u003cbr\u003e 14.6 Pathways for Senior ICs\u003cbr\u003e ____14.6.1 Staff and above rank pattern 1.\u003cbr\u003e Tech Lead\u003cbr\u003e ____14.6.2 Staff and above rank pattern 2: Evangelist\u003cbr\u003e ____14.6.3 Staff and above pattern 3: Strategic Partner \u003cbr\u003e14.7 Key Points\u003cbr\u003e 14.8 Learn more\u003cbr\u003e\u003cbr\u003e Chapter 15.\u003cbr\u003e The Future of Quant UX\u003cbr\u003e 15.1 Outlook 1: UX Data Science\u003cbr\u003e 15.2 Perspective 2: Computational Social Sciences\u003cbr\u003e 15.3 Perspective 3: Mixed Methods UX\u003cbr\u003e 15.4 Outlook 4: The Evolution of Quantitative UX\u003cbr\u003e 15.5 Learn more\u003cbr\u003e 15.6 Conclusion\u003cbr\u003e\u003cbr\u003e Appendix A.\u003cbr\u003e Quantitative UX Job Description Example\u003cbr\u003e Appendix B.\u003cbr\u003e Quantitative UX Recruitment Rubric Example\u003cbr\u003e Appendix C.\u003cbr\u003e References\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eQuantitative UX Research Answers \"Is This Design Really Effective?\"\u003cbr\u003e Analytical techniques and growth roadmaps from Silicon Valley experts\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Quantitative UX research answers the product team's eternal question: \"Will this design really work?\" with data.\u003cbr\u003e Today, businesses have more user behavior data than ever before.\u003cbr\u003e Quantitative UX researchers analyze this massive data to understand usage patterns, measure the impact of design changes, and provide insights needed for strategic decision-making. \u003cbr\u003eIt's this very role that makes quantitative UX researchers key players in product development.\u003cbr\u003e\u003cbr\u003e This book systematically introduces the rapidly growing role of quantitative UX research in product design development.\u003cbr\u003e It contains insights from decades of experience from some of the most renowned practitioners in quantitative UX research.\u003cbr\u003e We provide a comprehensive overview of the skills you need for practical work, from conducting customer satisfaction surveys to understanding user behavior through log analysis and statistical methods used to evaluate user experience.\u003cbr\u003e In particular, it is structured so that readers can learn through hands-on practice by providing reusable code and real-world examples.\u003cbr\u003e\u003cbr\u003e Beyond fundamental skills, we focus on the unique areas of Quant UX, offering practical advice for starting and developing a career in this field. \u003cbr\u003eThis practical guide guides readers from diverse academic backgrounds to leverage analytics to understand user needs, collaborate effectively with engineering and design teams, and ultimately optimize the product's user experience.\u003cbr\u003e\u003cbr\u003e What this book covers\u003cbr\u003e\u003cbr\u003e Learn about Quantitative UX Research jobs\u003cbr\u003e Understanding the Difference Between Quantitative UX Research and Data Science\u003cbr\u003e ● Learn how to plan and successfully execute a typical quantitative UX research project.\u003cbr\u003e ● Deploying quantitative UX work activities across product development, engineering, and UX organizations\u003cbr\u003e ● Measuring user experience performance using the HEART framework\u003cbr\u003e ● Assessing your skills and potential for employment as a quantitative UX researcher\u003cbr\u003e ● Learn how job interviews are conducted\u003cbr\u003e ● Explore examples of quantitative UX projects using R code and datasets. \u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e September 30, 2025\u003c\/div\u003e\n\n \u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e- \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 424 pages | 188*235*30mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791161759753\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1161759751 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default 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