Quantitative user experience research: informing product decisions by understanding users at scale
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| Format: | Buch |
| Sprache: | English |
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[2023]
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| Beschreibung: | xxi, 374 Seiten Illustrationen 26 cm |
| ISBN: | 1484292677 9781484292679 |
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| 100 | 1 | |a Chapman, Chris |e Verfasser |0 (DE-588)1327470039 |4 aut | |
| 245 | 1 | 0 | |a Quantitative user experience research |b informing product decisions by understanding users at scale |c Chris Chapman, Kerry Rodden |
| 264 | 1 | |a [New York] |b APRESS |c [2023] | |
| 300 | |a xxi, 374 Seiten |b Illustrationen |c 26 cm | ||
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| 653 | 0 | |a Human-computer interaction / Research | |
| 653 | 0 | |a User-centered system design / Research | |
| 653 | 0 | |a User interfaces (Computer systems) | |
| 653 | 0 | |a Conception participative (Conception de systèmes) / Recherche | |
| 653 | 0 | |a Interfaces utilisateurs (Informatique) | |
| 653 | 0 | |a User interfaces (Computer systems) | |
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Datensatz im Suchindex
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Table of Contents About the Authors. . xiii About the Technical Reviewers. . xv Acknowledgments . Introduction. .xvii xix Part I: User Experience and Quant UX. . 1 Chapter 1 : Getting Started. 3 1.1 Who Are We? Why Should You Listen to Us?. 3 1.2 What Is Different About This Book?. 4 1.3 Who Is Our Audience?. 5 1.3.1 A Quick Check on Your Interests. 5 1.4 What Will You Learn?. 6 1.5 How to Use This Book. 7 1.5.1 Assumptions. 8 1.5.2 A Note About Jargon. 9 ;
1.5.3 End of Chapter Exercises.10 1.6 Online Materials. 10 1.6.1 Code and Data Sources. 11 1.6.2 Help! Updates and Errata. 11 1.7 Key Points. 12 Chapter 2: User Experience and UX Research. 13 2.1 User Experience. 13 2.1.1 UX Roles. 14 2.1.2 UX Design and Software Engineering. .16 2.1.3 Product Management. 17 iii
TABLE OF CONTENTS 2.2 UX Research. 18 2.2.1 Categories of UX Researchers. 19 2.2.2 The Research Lifecycle for UXRs. 20 2.2.3 Typical Research Projects in the Product Lifecycle. 22 2.3 Key Points. 23 2.4 Learning More. 24 Chapter 3: Quantitative UX Research: Overview. 25 3.1 Quantitative UX Research. 25 3.2 Week-to-Week Practice of Quant UX Research. 26 3.2.1 Typical Activities in a Week. 27 3.2.2 Common Research Questions for Quant UXRs. 28 3.2.3 Stakeholder Questions. 29 3.3 Varieties of Quant
UXRs. 31 3.4 Quant UXR Differences from Other Roles. 33 3.4.1 Quant UXR vs. General UXR. 33 3.4.2 Quant UXR vs. Mixed Methods UXR. 34 3.4.3 Quant UXR vs. Survey Scientist. 34 3.4.4 Quant UXR vs. Marketing Researcher.35 3.4.5 Quant UXR vs. Data Scientist. 36 3.4.6 Quant UXR vs. Business or Product Analyst. 37 3.4.7 Quant UXR vs. Research Scientist. 38 3.4.8 Quant UXR vs. Academic Research. 38 3.5 Will You Like a Quant UXR Role?. 39 3.6 Key Points. 42 3.7 Learning
More. 42 Part II: Core Skills. 47 Chapter 4: UX Research. 49 4.1 Foundational and In-Depth Skills for Quant UXR. 49 4.1.1 “Т-Shape” Skills. 50 4.2 Focus on the User. 51 iv
TABLE OF CONTENTS 4.2.1 Adopt the User’s Perspective.52 4.2.2 Assess User-Centric Variables and Outcomes. 53 4.2.3 Answer “Why?” with a Cognitive Approach. 54 4.2.4 Focus on Unmet Needs. 55 4.2.5 Relate to UX Actions and Stakeholders. 57 4.3 Research Validity. 57 4.4 Assessing Users and Assessing Products. 59 4.5 Research Ethics. 60 4.5.1 Research Risks and Benefits.60 4.5.2 Privacy and Legal Requirements.61 4.5.3 Minimum Collection. 61 4.5.4 Scientific Standards. 61 4.5.5 Impact on
Society. 62 4.5.6 The Newspaper Test. 63 4.6 Research Planning. 64 4.7 Key Points. 66 4.8 Learning More. 67 Chapter 5: Statistics. . 69 5.1 Why Statistics?. 69 5.1.1 Statistics vs. Machine Learning.69 5.2 The Foundation: Sampling and Data Quality. 70 5.3 Core Statistical Analysis Skills. 72 5.3.1 Exploratory Data Analysis and Visualization. 73 5.3.2 Descriptive Statistics. 75 5.3.3 Inferential Tests and Practical
Significance. 76 5.3.4 Fundamentals of A/В Testing. 78 5.3.5 Linear Models. 80 5.4 Frequently Observed Issues. 82 5.4.1 Bad or Biased Data. 82 5.4.2 Focusing on Discovery, Losing Sight of Decisions. 82 5.4.3 Prematurely Assuming an Outcome of Interest. 82 V
TABLE OF CONTENTS 5.4.4 Interpreting Statistical Significance.83 5.4.5 Applying Fancy Models. 83 5.5 Key Points. 84 5.6 Learning More. 85 5.7 Questions and an Exercise. 88 Chapter 6: Programming. . 91 6.1 Overview. 91 6.1.1 Is Programming Required?. 92 6.1.2 What Language?. 93 6.2 Procedural Programming Basics. 93 6.2.1 Algorithms. 94 6.2.2 Data
Structures. 96 6.3 SQL.99 6.4 Other Coding Topics. 100 6.4.1 Reproducibility of Code. 100 6.4.2 Performance and Scale. 101 6.5 Key Points. 103 6.6 Learning More. 104 6.7 Exercises. 105 Part III: Tools and Techniques. . 107 Chapter 7: Metrics of User Experience. 109 7.1 The HEART Framework. 110 7.1.1 Happiness. 110 7.1.2 Engagement. 110 7.1.3
Adoption. 111 7.1.4 Retention. 111 7.1.5 Task Success. 112 7.2 The Goals-Signals-Metrics Process. 112 7.2.1 Goals. 112 7.2.2 Signals. 114 vi
TABLE OF CONTENTS 7.2.3 Metrics. 115 7.3 Applying the Methods Together.116 7.4 Example: Redesigning Labels in Gmail. 117 7.5 Lessons Learned From Experience. 121 7.5.1 Individual Pitfalls. 121 7.5.2 Organizational Issues. 122 7.6 Key Points. 124 7.7 Learning More. 125 7.8 Exercises. 126 Chapter 8: Customer Satisfaction Surveys. 8.1 Goals of a Customer Satisfaction Program. 127 127 8.2 The Components of Listening to Customers.128 8.2.1 Customer Population and Sample. 129 8.2.2 Survey
Mechanism. 130 8.2.3 Ordinal Ratings. 131 8.2.4 Open-Ended Comments. 135 8.2.5 Demographic and Behavioral Information. 137 8.2.6 Don’t Compare Groups, Compare Over Time. 138 8.2.7 Follow-up with Stakeholders and Customers. 139 8.3 Common Problems in CSat Analysis. 141 8.4 Example Analysis in R. 143 8.4.1 Initial Data Inspection. 143 8.4.2 CSat for One Time Period. 145 8.4.3 CSat over Time. 148 8.4.4 Top 2 Box Proportions. 150 8.4.5 Is CSat Changing? Initial
Analysis. 151 8.4.6 Examination by Country. 152 8.4.7 A Better Model of CSat Change in These Data. 154 8.5 Key Points. 157 8.6 Learning More. 159 8.7 Exercises. 160 vii
TABLE OF CONTENTS Chapter 9: Log Sequence Visualization . 163 9.1 Example Sequence Data.164 9.1.1 Sunburst Chart for the Buffet Data. 166 9.2 Sunburst Visualization of Website Data. 170 9.2.1 Transforming the Logs to Sequences.170 9.2.2 Sunburst Visualization of the EPA Data.175 9.2.3 Next Steps in Analysis. 178 9.3 Key Points. 180 9.4 Learning More. 181 9.5 Exercises. 182 Chapter 10: MaxDiff: Prioritizing Features and User Needs. 185 10.1 Overview of MaxDiff. 186 10.1.1 Illustration of MaxDiff
Analysis. 189 10.1.2 Calculating Pizza Demand. 192 10.1.3 Summary of MaxDiff Advantages.193 10.2 Detailed Introduction to MaxDiff Estimation.194 10.2.1 Common UX Topics for MaxDiff Surveys.194 10.2.2 Writing and Fielding a MaxDiff Survey.196 10.2.3 Survey Authoring Platforms.205 10.2.4 MaxDiff and Accessibility.208 10.2.5 MaxDiff Statistical Models.209 10.3 Example: Information Seeking Use Cases. 213 10.3.1 Overview: MaxDiff for Information Seeking. 213 10.3.2 Survey Format. 214 10.3.3 Data Format. 217 10.3.4
Estimation with the choicetools Package. 220 10.3.5 Next Steps. 230 10.4 Key Points. 231 10.5 Learning More. 232 10.6 Exercises. 234 viii
TABLE OF CONTENTS Part IV: Organizations and Careers. 235 Chapter 11: UX Organizations. 237 11.1 Typical UX Organization Models. 237 11.1.1 Role-Centric Organization. 238 11.1.2 Product-Centric Organization. 241 11.2 Other Organizational Models for Quant UXRs. 245 11.2.1 Centralized Quant UX Research Teams. 245 11.2.2 Quant UX in a Data Science or Analytics Team. 249 11.3 Advice for Managers of Quant UXRs. 251 11.3.1 Access to Stakeholders and Data.251 11.3.2 Shield from Immediate Requests. 253 11.3.3 Growth Opportunity. 254 11.3.4 Help with Determining
Impact. 256 11.3.5 Stay Out of the Way. 257 11.4 Key Points. 257 11.5 Learning More. 258 Chapter 12: Interviews and Job Postings. 259 12.1 General Quant UXR InterviewProcess. 259 12.2 Two Formats for Interview Panels. 262 12.2.1 Format 1: Interview Loops. 262 12.2.2 Format 2: Hands-On Interviews. 263 12.2.3 What Happens Among Interviewers?. 265 12.2.4 Who Makes the Hiring Decision?. 266 12.3 Before, During, and After an Onsite Interview. 267 12.3.1 Before: What Happens at the
Company. 267 12.3.2 Before: Your Preparation. 268 12.3.3 During Interviews. 271 12.3.4 Afterward. 272 12.4 Job Postings and Applications. 276 12.4.1 Finding Jobs. 276 12.4.2 Additional Suggestions for Applications. 277 ix
TABLE OF CONTENTS 12.5 Key Points. 280 12.6 Learning More. Chapter 13: Research Processes, Reporting, and Stakeholders. 281 13.1 Initial Engagement. 281 13.1.1 What Stakeholders Want.and What They Need. 282 13.1.2 Focus on Decisions. 283 13.1.3 Work Backward. 283 13.2 Delivering Results. 284 13.2.1 Stakeholders Are the Users of Your Research.285 13.2.2 Two Models: Presentations and Documents. 286 13.3 Principles of Good Deliverables. 289 13.3.1 Short and Focused on Action. 289 13.3.2 Minimally Technical
Reports. 290 13.3.3 Remain Unbiased. 291 13.3.4 Reproducible and Generalizable. 292 13.4 Research Archives. 292 13.5 Common Problems with Stakeholders. 294 13.5.1 Lack of a Decision Criterion. 294 13.5.2 Ad Hoc Projects. 294 13.5.3 Opportunity Cost. 295 13.5.4 Validation Research. 295 13.5.5 Statistical Significance. 295 13.5.6 Cherry Picking Results.296 13.5.7 Conflicting Results. 297 13.5.8 Challenge Only If
Negative (COIN). 298 13.6 Finding a Great Stakeholder. 299 13.7 Key Points. 299 13.8 Learning More. 301 X
TABLE OF CONTENTS Chapter 14: Career Development for Quant UX Researchers. 303 14.1 Elements of Career Paths in Industry. 304 14.1.1 Job Levels.304 14.1.2 Career Ladder. 307 14.1.3 Tracks: Individual Contributor and Manager. 307 14.1.4 Distribution of Levels. 308 14.1.5 The Choice of IC vs. Manager. 310 14.2 The Problems with Levels. 311 14.3 Performance Reviews and Promotion. 312 14.3.1 Performance Reviews. 312 14.3.2 Impact. 314 14.3.3 Promotion. 314 14.4 Personal Styles and
Goals. 316 14.4.1 Maximizing vs. Satisficing. 316 14.4.2 Builder vs. Explorer. 317 14.5 Building Skills Throughout a Career. 319 14.5.1 Areas for Skills Development. 319 14.5.2 Find Mentors. 321 14.6 Paths for Senior ICs. 322 14.6.1 Staff Level Pattern 1:Tech Lead. 323 14.6.2 Staff Level Pattern 2: Evangelist. 324 14.6.3 Staff Level Pattern 3: Strategic Partner. 325 14.7 Key Points. 326 14.8 Learning More. 328 Chapter
15: Future Directions for Quant UX. 331 15.1 Future 1 : UX Data Science. 331 15.2 Future 2: Computational Social Science.332 15.3 Future 3: Mixed Methods UX.333 15.4 Future 4: Quant UX Evolution.333 xi
TABLE OF CONTENTS 15.5 Learning More.335 15.6 Finally. 335 Appendix A: Example Quant UX Job Description . 337 Appendix B: Example Quant UX Hiring Rubrics. . 341 Appendix C: References. . Index. xii 361 |
| adam_txt |
Table of Contents About the Authors. . xiii About the Technical Reviewers. . xv Acknowledgments . Introduction. .xvii xix Part I: User Experience and Quant UX. . 1 Chapter 1 : Getting Started. 3 1.1 Who Are We? Why Should You Listen to Us?. 3 1.2 What Is Different About This Book?. 4 1.3 Who Is Our Audience?. 5 1.3.1 A Quick Check on Your Interests. 5 1.4 What Will You Learn?. 6 1.5 How to Use This Book. 7 1.5.1 Assumptions. 8 1.5.2 A Note About Jargon. 9 ;
1.5.3 End of Chapter Exercises.10 1.6 Online Materials. 10 1.6.1 Code and Data Sources. 11 1.6.2 Help! Updates and Errata. 11 1.7 Key Points. 12 Chapter 2: User Experience and UX Research. 13 2.1 User Experience. 13 2.1.1 UX Roles. 14 2.1.2 UX Design and Software Engineering. .16 2.1.3 Product Management. 17 iii
TABLE OF CONTENTS 2.2 UX Research. 18 2.2.1 Categories of UX Researchers. 19 2.2.2 The Research Lifecycle for UXRs. 20 2.2.3 Typical Research Projects in the Product Lifecycle. 22 2.3 Key Points. 23 2.4 Learning More. 24 Chapter 3: Quantitative UX Research: Overview. 25 3.1 Quantitative UX Research. 25 3.2 Week-to-Week Practice of Quant UX Research. 26 3.2.1 Typical Activities in a Week. 27 3.2.2 Common Research Questions for Quant UXRs. 28 3.2.3 Stakeholder Questions. 29 3.3 Varieties of Quant
UXRs. 31 3.4 Quant UXR Differences from Other Roles. 33 3.4.1 Quant UXR vs. General UXR. 33 3.4.2 Quant UXR vs. Mixed Methods UXR. 34 3.4.3 Quant UXR vs. Survey Scientist. 34 3.4.4 Quant UXR vs. Marketing Researcher.35 3.4.5 Quant UXR vs. Data Scientist. 36 3.4.6 Quant UXR vs. Business or Product Analyst. 37 3.4.7 Quant UXR vs. Research Scientist. 38 3.4.8 Quant UXR vs. Academic Research. 38 3.5 Will You Like a Quant UXR Role?. 39 3.6 Key Points. 42 3.7 Learning
More. 42 Part II: Core Skills. 47 Chapter 4: UX Research. 49 4.1 Foundational and In-Depth Skills for Quant UXR. 49 4.1.1 “Т-Shape” Skills. 50 4.2 Focus on the User. 51 iv
TABLE OF CONTENTS 4.2.1 Adopt the User’s Perspective.52 4.2.2 Assess User-Centric Variables and Outcomes. 53 4.2.3 Answer “Why?” with a Cognitive Approach. 54 4.2.4 Focus on Unmet Needs. 55 4.2.5 Relate to UX Actions and Stakeholders. 57 4.3 Research Validity. 57 4.4 Assessing Users and Assessing Products. 59 4.5 Research Ethics. 60 4.5.1 Research Risks and Benefits.60 4.5.2 Privacy and Legal Requirements.61 4.5.3 Minimum Collection. 61 4.5.4 Scientific Standards. 61 4.5.5 Impact on
Society. 62 4.5.6 The Newspaper Test. 63 4.6 Research Planning. 64 4.7 Key Points. 66 4.8 Learning More. 67 Chapter 5: Statistics. . 69 5.1 Why Statistics?. 69 5.1.1 Statistics vs. Machine Learning.69 5.2 The Foundation: Sampling and Data Quality. 70 5.3 Core Statistical Analysis Skills. 72 5.3.1 Exploratory Data Analysis and Visualization. 73 5.3.2 Descriptive Statistics. 75 5.3.3 Inferential Tests and Practical
Significance. 76 5.3.4 Fundamentals of A/В Testing. 78 5.3.5 Linear Models. 80 5.4 Frequently Observed Issues. 82 5.4.1 Bad or Biased Data. 82 5.4.2 Focusing on Discovery, Losing Sight of Decisions. 82 5.4.3 Prematurely Assuming an Outcome of Interest. 82 V
TABLE OF CONTENTS 5.4.4 Interpreting Statistical Significance.83 5.4.5 Applying Fancy Models. 83 5.5 Key Points. 84 5.6 Learning More. 85 5.7 Questions and an Exercise. 88 Chapter 6: Programming. . 91 6.1 Overview. 91 6.1.1 Is Programming Required?. 92 6.1.2 What Language?. 93 6.2 Procedural Programming Basics. 93 6.2.1 Algorithms. 94 6.2.2 Data
Structures. 96 6.3 SQL.99 6.4 Other Coding Topics. 100 6.4.1 Reproducibility of Code. 100 6.4.2 Performance and Scale. 101 6.5 Key Points. 103 6.6 Learning More. 104 6.7 Exercises. 105 Part III: Tools and Techniques. . 107 Chapter 7: Metrics of User Experience. 109 7.1 The HEART Framework. 110 7.1.1 Happiness. 110 7.1.2 Engagement. 110 7.1.3
Adoption. 111 7.1.4 Retention. 111 7.1.5 Task Success. 112 7.2 The Goals-Signals-Metrics Process. 112 7.2.1 Goals. 112 7.2.2 Signals. 114 vi
TABLE OF CONTENTS 7.2.3 Metrics. 115 7.3 Applying the Methods Together.116 7.4 Example: Redesigning Labels in Gmail. 117 7.5 Lessons Learned From Experience. 121 7.5.1 Individual Pitfalls. 121 7.5.2 Organizational Issues. 122 7.6 Key Points. 124 7.7 Learning More. 125 7.8 Exercises. 126 Chapter 8: Customer Satisfaction Surveys. 8.1 Goals of a Customer Satisfaction Program. 127 127 8.2 The Components of Listening to Customers.128 8.2.1 Customer Population and Sample. 129 8.2.2 Survey
Mechanism. 130 8.2.3 Ordinal Ratings. 131 8.2.4 Open-Ended Comments. 135 8.2.5 Demographic and Behavioral Information. 137 8.2.6 Don’t Compare Groups, Compare Over Time. 138 8.2.7 Follow-up with Stakeholders and Customers. 139 8.3 Common Problems in CSat Analysis. 141 8.4 Example Analysis in R. 143 8.4.1 Initial Data Inspection. 143 8.4.2 CSat for One Time Period. 145 8.4.3 CSat over Time. 148 8.4.4 Top 2 Box Proportions. 150 8.4.5 Is CSat Changing? Initial
Analysis. 151 8.4.6 Examination by Country. 152 8.4.7 A Better Model of CSat Change in These Data. 154 8.5 Key Points. 157 8.6 Learning More. 159 8.7 Exercises. 160 vii
TABLE OF CONTENTS Chapter 9: Log Sequence Visualization . 163 9.1 Example Sequence Data.164 9.1.1 Sunburst Chart for the Buffet Data. 166 9.2 Sunburst Visualization of Website Data. 170 9.2.1 Transforming the Logs to Sequences.170 9.2.2 Sunburst Visualization of the EPA Data.175 9.2.3 Next Steps in Analysis. 178 9.3 Key Points. 180 9.4 Learning More. 181 9.5 Exercises. 182 Chapter 10: MaxDiff: Prioritizing Features and User Needs. 185 10.1 Overview of MaxDiff. 186 10.1.1 Illustration of MaxDiff
Analysis. 189 10.1.2 Calculating Pizza Demand. 192 10.1.3 Summary of MaxDiff Advantages.193 10.2 Detailed Introduction to MaxDiff Estimation.194 10.2.1 Common UX Topics for MaxDiff Surveys.194 10.2.2 Writing and Fielding a MaxDiff Survey.196 10.2.3 Survey Authoring Platforms.205 10.2.4 MaxDiff and Accessibility.208 10.2.5 MaxDiff Statistical Models.209 10.3 Example: Information Seeking Use Cases. 213 10.3.1 Overview: MaxDiff for Information Seeking. 213 10.3.2 Survey Format. 214 10.3.3 Data Format. 217 10.3.4
Estimation with the choicetools Package. 220 10.3.5 Next Steps. 230 10.4 Key Points. 231 10.5 Learning More. 232 10.6 Exercises. 234 viii
TABLE OF CONTENTS Part IV: Organizations and Careers. 235 Chapter 11: UX Organizations. 237 11.1 Typical UX Organization Models. 237 11.1.1 Role-Centric Organization. 238 11.1.2 Product-Centric Organization. 241 11.2 Other Organizational Models for Quant UXRs. 245 11.2.1 Centralized Quant UX Research Teams. 245 11.2.2 Quant UX in a Data Science or Analytics Team. 249 11.3 Advice for Managers of Quant UXRs. 251 11.3.1 Access to Stakeholders and Data.251 11.3.2 Shield from Immediate Requests. 253 11.3.3 Growth Opportunity. 254 11.3.4 Help with Determining
Impact. 256 11.3.5 Stay Out of the Way. 257 11.4 Key Points. 257 11.5 Learning More. 258 Chapter 12: Interviews and Job Postings. 259 12.1 General Quant UXR InterviewProcess. 259 12.2 Two Formats for Interview Panels. 262 12.2.1 Format 1: Interview Loops. 262 12.2.2 Format 2: Hands-On Interviews. 263 12.2.3 What Happens Among Interviewers?. 265 12.2.4 Who Makes the Hiring Decision?. 266 12.3 Before, During, and After an Onsite Interview. 267 12.3.1 Before: What Happens at the
Company. 267 12.3.2 Before: Your Preparation. 268 12.3.3 During Interviews. 271 12.3.4 Afterward. 272 12.4 Job Postings and Applications. 276 12.4.1 Finding Jobs. 276 12.4.2 Additional Suggestions for Applications. 277 ix
TABLE OF CONTENTS 12.5 Key Points. 280 12.6 Learning More. Chapter 13: Research Processes, Reporting, and Stakeholders. 281 13.1 Initial Engagement. 281 13.1.1 What Stakeholders Want.and What They Need. 282 13.1.2 Focus on Decisions. 283 13.1.3 Work Backward. 283 13.2 Delivering Results. 284 13.2.1 Stakeholders Are the Users of Your Research.285 13.2.2 Two Models: Presentations and Documents. 286 13.3 Principles of Good Deliverables. 289 13.3.1 Short and Focused on Action. 289 13.3.2 Minimally Technical
Reports. 290 13.3.3 Remain Unbiased. 291 13.3.4 Reproducible and Generalizable. 292 13.4 Research Archives. 292 13.5 Common Problems with Stakeholders. 294 13.5.1 Lack of a Decision Criterion. 294 13.5.2 Ad Hoc Projects. 294 13.5.3 Opportunity Cost. 295 13.5.4 Validation Research. 295 13.5.5 Statistical Significance. 295 13.5.6 Cherry Picking Results.296 13.5.7 Conflicting Results. 297 13.5.8 Challenge Only If
Negative (COIN). 298 13.6 Finding a Great Stakeholder. 299 13.7 Key Points. 299 13.8 Learning More. 301 X
TABLE OF CONTENTS Chapter 14: Career Development for Quant UX Researchers. 303 14.1 Elements of Career Paths in Industry. 304 14.1.1 Job Levels.304 14.1.2 Career Ladder. 307 14.1.3 Tracks: Individual Contributor and Manager. 307 14.1.4 Distribution of Levels. 308 14.1.5 The Choice of IC vs. Manager. 310 14.2 The Problems with Levels. 311 14.3 Performance Reviews and Promotion. 312 14.3.1 Performance Reviews. 312 14.3.2 Impact. 314 14.3.3 Promotion. 314 14.4 Personal Styles and
Goals. 316 14.4.1 Maximizing vs. Satisficing. 316 14.4.2 Builder vs. Explorer. 317 14.5 Building Skills Throughout a Career. 319 14.5.1 Areas for Skills Development. 319 14.5.2 Find Mentors. 321 14.6 Paths for Senior ICs. 322 14.6.1 Staff Level Pattern 1:Tech Lead. 323 14.6.2 Staff Level Pattern 2: Evangelist. 324 14.6.3 Staff Level Pattern 3: Strategic Partner. 325 14.7 Key Points. 326 14.8 Learning More. 328 Chapter
15: Future Directions for Quant UX. 331 15.1 Future 1 : UX Data Science. 331 15.2 Future 2: Computational Social Science.332 15.3 Future 3: Mixed Methods UX.333 15.4 Future 4: Quant UX Evolution.333 xi
TABLE OF CONTENTS 15.5 Learning More.335 15.6 Finally. 335 Appendix A: Example Quant UX Job Description . 337 Appendix B: Example Quant UX Hiring Rubrics. . 341 Appendix C: References. . Index. xii 361 |
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| discipline_str_mv | Informatik |
| format | Book |
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| id | DE-604.BV049589506 |
| illustrated | Illustrated |
| index_date | 2024-07-03T23:33:09Z |
| indexdate | 2024-07-20T07:24:45Z |
| institution | BVB |
| isbn | 1484292677 9781484292679 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034934212 |
| oclc_num | 1437879663 |
| open_access_boolean | |
| owner | DE-739 |
| owner_facet | DE-739 |
| physical | xxi, 374 Seiten Illustrationen 26 cm |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | APRESS |
| record_format | marc |
| spelling | Chapman, Chris Verfasser (DE-588)1327470039 aut Quantitative user experience research informing product decisions by understanding users at scale Chris Chapman, Kerry Rodden [New York] APRESS [2023] xxi, 374 Seiten Illustrationen 26 cm txt rdacontent n rdamedia nc rdacarrier Benutzererlebnis (DE-588)1232346071 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf Human-computer interaction / Research User-centered system design / Research User interfaces (Computer systems) Conception participative (Conception de systèmes) / Recherche Interfaces utilisateurs (Informatique) Mensch-Maschine-Kommunikation (DE-588)4125909-9 s Benutzererlebnis (DE-588)1232346071 s DE-604 Rodden, Kerry ca. 20./21. Jh. Sonstige (DE-588)1327527448 oth electronic version 9781484292686 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034934212&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Chapman, Chris Quantitative user experience research informing product decisions by understanding users at scale Benutzererlebnis (DE-588)1232346071 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| subject_GND | (DE-588)1232346071 (DE-588)4125909-9 |
| title | Quantitative user experience research informing product decisions by understanding users at scale |
| title_auth | Quantitative user experience research informing product decisions by understanding users at scale |
| title_exact_search | Quantitative user experience research informing product decisions by understanding users at scale |
| title_exact_search_txtP | Quantitative user experience research informing product decisions by understanding users at scale |
| title_full | Quantitative user experience research informing product decisions by understanding users at scale Chris Chapman, Kerry Rodden |
| title_fullStr | Quantitative user experience research informing product decisions by understanding users at scale Chris Chapman, Kerry Rodden |
| title_full_unstemmed | Quantitative user experience research informing product decisions by understanding users at scale Chris Chapman, Kerry Rodden |
| title_short | Quantitative user experience research |
| title_sort | quantitative user experience research informing product decisions by understanding users at scale |
| title_sub | informing product decisions by understanding users at scale |
| topic | Benutzererlebnis (DE-588)1232346071 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| topic_facet | Benutzererlebnis Mensch-Maschine-Kommunikation |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034934212&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT chapmanchris quantitativeuserexperienceresearchinformingproductdecisionsbyunderstandingusersatscale AT roddenkerry quantitativeuserexperienceresearchinformingproductdecisionsbyunderstandingusersatscale |