Cover image for Card Sorting

Book description

Card sorting helps us understand how people think about content and categories. In this book, Donna Spencer describes how to plan and run a card sort, then analyse the results and apply the outcomes to your project.

Table of Contents

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  2. How to Use This Book
    1. Who Should Read This Book?
    2. What’s in This Book?
    3. What Comes with the Book?
  3. Frequently Asked Questions
  4. Foreword
  5. 1: All About Card Sorting
    1. My First Card Sort
    2. What Is Card Sorting?
    3. Steps in a Card Sort
    4. How Card Sorting Is Used
    5. A Word of Caution
    6. Complementary User Research Techniques
    7. Timing of Card Sorts in a Project
    8. Let’s Get Sorting
    9. Chapter 1 Summary/Tips
  6. 2: All About Organizing
    1. The Challenges of Organizing
    2. Structure: Hierarchies and Databases
    3. Classification Schemes
    4. Categories
    5. Chapter 2 Summary/Tips
    6. References
  7. 3: Defining the Need
    1. Need to Learn Broad Ideas
    2. Need to Check You’re on Track
    3. Need to Explore an Idea in Detail
    4. Need to Compare People
    5. Justify a Recommendation
    6. Setting Goals
    7. Chapter 3 Summary/Tips
  8. 4: Choose the Method
    1. Open or Closed Card Sort
    2. Team Versus Individual Card Sorts
    3. Manual Versus Software
    4. Chapter 4 Summary/Tips
  9. 5: Choose the Content
    1. Locating Content
    2. Tips for Selecting Content
    3. How Much Content/How Many Cards?
    4. Working on Large Sites
    5. Chapter 5 Summary/Tips
  10. 6: Choose the People
    1. Choosing a Facilitator
    2. Choosing the Participants
    3. Chapter 6 Summary/Tips
  11. 7: Make the Cards
    1. Making Physical Cards
    2. Closed Card Sort: Making Category Cards
    3. Making “Cards” Using a Software Tool
    4. Chapter 7 Summary/Tips
  12. 8: Manage the Sort
    1. Prepare for Analysis
    2. Other Supplies
    3. Before You Start: The Test Run
    4. Run the Card Sort
    5. Hand Out the Cards
    6. Observe the Sort
    7. Record the Outcomes
    8. Chapter 8 Summary/Tips
  13. 9: Use Exploratory Analysis
    1. Goals and Exploratory Analysis
    2. Preparing for Exploratory Analysis
    3. Start the Analysis
    4. Chapter 9 Summary/Tips
  14. 10: Use Statistical Analysis
    1. Goals and Statistical Analysis
    2. Analyzing the Data
    3. Chapter 10 Summary/Tips
  15. 11: Use What You’ve Learned
    1. Use All Inputs
    2. Be Practical
    3. Don’t Assume
    4. Determine Categories Carefully
    5. Be Flexible
    6. Test Your IA
    7. Don’t Rely on a Technique to Do Your Thinking
  16. 12: Documentation
    1. Bare-Bones Report
    2. Detailed Report
    3. Comprehensive Report
  17. Acknowledgments
  18. About the Author
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