
UX
Description
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Several complex issues arise when planning and analyzing data in UX projects. A lack of understanding or misapprehension of the process can lead to incorrect conclusions, wasted effort, and unclear priorities. This book is designed as a primer for those new to the field and an introduction for those with some experience who want to expand beyond the basics.
This book introduces a practical, problem-based approach to data analysis that UX designers and other team members can use. It includes guidelines, tips, and tricks for how to get started with planning and analyzing data effectively.
Whether you're just getting started with analytics or are looking for a refresher on what tools to use, this book is packed with practical tips and tricks for planning and analyzing your data.
You have an excellent opportunity to get acquainted with the art of data analysis and design, which is an essential skill for any UX designer. This book will help you understand the basics of data analysis, from data types to basic statistics and visualization methods.
More details
Content
- Intro
- Introduction
- Chapter 1
- A Brief Introduction to User Experience (UX) Design
- Perception and Complexity
- Minimum Viable Product (MVP)
- The Right Way to Do Design
- What Is a Good User Experience?
- Research, Research, Research
- Why Wireframing Matters in Design Development
- Chapter 2
- Design Thinking and Its Popularity
- Design Thinking or 'Outside the Box Thinking
- Chapter 3
- Top 7 Factors Influencing The UX
- Motivation
- Involvement
- Satisfaction
- Conception of Effort
- Control of the Interaction
- Expectations about the System
- Situational Factors
- Chapter 4
- Usability
- Chapter 5
- The Importance and Planning of Your Data Analysis in UX
- Planning Your Data Analysis in UX
- Chapter 6
- Collecting and Interpreting Data for Analysis
- Collecting Data
- Interpreting Data In UX Projects
- Data Collection Methods
- Analytics and Key Metrics
- Defining Your User Personas
- Organizing Your Data for Analysis
- Analyzing with Benchmarking, Segmentation, Cohort Analysis, and Regression Analysis
- Chapter 7
- Tested and Tried: 7 UX Research Techniques
- Chapter 8
- Interaction Design
- Interaction Design in UX
- What Do Interaction Designers Do?
- Design Strategy
- Wireframes and Prototypes
- Chapter 9
- Tips for Working with Data Analysts in UX
- Chapter 10
- Managing and Sharing Data in UX Projects
- Manage Data for Projects
- Keep It Simple
- Chapter 11
- Some Additional Tricks to Analyzing Data in UX
- Conclusion
- References
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File format: ePUB
Copy protection: Adobe-DRM (Digital Rights Management)
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