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Index
Search Analytics for Your Site: Conversations with Your Customers
How to Use This Book
Who Should Read This Book? What’s in This Book? What Comes with this Book?
Frequently Asked Questions
What is site search analytics (SSA)? Isn’t SSA the same as SEO? How does SSA differ from other kinds of analytics? Why do I need SSA? Where does query data come from, and what tools do I need to analyze it? I’m not a “data person,” so why should I read this book? This isn’t part of my job description (or anyone else’s) so who should do this work? How do I actually analyze query data? How does SSA fit with other user research methods? If it’s so great, how come more people aren’t taking advantage of SSA?
Foreword I. Introducing Site Search Analytics
1. How Site Search Analytics Can Save Your Butt
The Brake Gets Pulled The Brake Gets Stuck Measuring the Unmeasurable The Before-and-After Test
So What’s Relevant? Precision: Getting Beyond Relevance
The Brake Works—Thanks to Site Search Analytics Moral of the Story: Be Like John
2. Site Search Analytics in a Nutshell
What Is Site Search Analytics? Why You’ll Want to Use SSA It Always Starts with Data George Kingsley Zipf, Harvard Linguist and Hockey Star Ways to Use SSA (and This Book) What Gets in the Way of SSA? Who Is Responsible for SSA? Your Secret Weapon Summary
II. Analyzing the Data
3. Pattern Analysis
Analysis as a Form of Play
The Simple Part The Fun Part
Getting Started with Pattern Analysis Patterns to Consider
Tonal Patterns Synonym Patterns Time-Based Patterns Question Patterns Answer Patterns
Finding Patterns in the Long Tail Anti-Pattern Analysis: Surprises and Outliers Summary
4. Failure Analysis
Study Failure with Care Queries That Return Zero Results
You’re Not Offering What People Want The Content’s There but Isn’t Being Found There’s a Disconnect Between Your Site’s Content and the People Using It
Queries That Fail to Retrieve Useful Results
Are the Top Results Relevant? Is the “Best Match” Near the Top of the Search Results? Are Results Being Clicked at a Healthy Rate?
Queries That Lead to Immediate Exits from the Site Beyond Generic—Evaluating Failures That Mean the Most Summary
5. Session Analysis
Learning from Who Searched What and When Why Analyze Sessions? What’s a Session, Anyway? Analyzing a Short Session from TFANet Analyzing a Long Session from WW Norton Which Sessions Should You Analyze? How Granular Are Your Terms? Going Beyond Sessions: Looking at Individual Searchers Summary
6. Audience Analysis
Why Segment Your Audience? How to Segment Your Audience
Segmenting the Easy Way Segmenting the Hard Way
Comparing and Contrasting Segments
How Segments Differ
What’s Next? Summary
7. Goal-Based Analysis
Goal Tracking Is Good, but Search Metrics Make It Better
From Goals to KPIs Souping Up a KPI with Search Metrics
Determining Goals and KPIs
Four Main Types of Organizational Sites Search Metrics Based on Query Data From Top-Down to Bottom-Up Analysis
Summary
III. Improving Your Site
8. Practical Tips for Improving Search
Plugging Gaps in Your Search Engine’s Index Making Query Entry Easier by Fixing “the Box” Accommodating Strange Query Syntax Determining What Your Best Bets Should Be Helping Searchers Auto-Complete Their Queries Improving a “No Results Found” Page Helping Searchers Revise Their Queries to Get Better Results Designing Search Results Around Specialized Query Types Designing Search Results Around Specialized Content Types Summary
9. Practical Tips for Improving Site Navigation and Metadata
Improving Contextual Navigation for Specific Content Types Creating a Better Site Index Testing and Tuning Metadata Values Important
Putting Metadata Through the “Query Test” Using “Reverse Lookup” to Identify New and Problematic Terms Tracking Metadata Trends
Summary
10. Practical Tips for Improving Content
Determining Which Content You Should Get Rid of Plugging Content Gaps Making Relevant Content Even More Relevant Expanding Your Understanding of Users’ Content Interests Getting Marketing to Do the Right Thing Getting Content Owners to Do the Right Thing Summary
11. Bridging Web Analytics and User Experience
Data and Design: Never the Twain Shall Meet The Case for Integrated Problem Solving
Example 1: A Field Study Demystifies Site Search Analytics Data Example 2: Segmentation Leads to Better Personas Example 3: Analytics as a Low-Cost Form of User Research Example 4: When Your Funnel’s Broken, Task Analysis Can Explain Why Example 5: Finding Data to Back Up and De-Politicize Your Design
Creating a Single User Research Brain Within Your Organization
From the Bottom Up: Grass Roots Organizing
Who’s Out There? Let’s Do Lunch Brown Bagging It
From the Top Down: Involving Senior Leadership
Blue Skying the Organizational Brain The Decision-Making Dashboard
Site Search Analytics: The Natural Boundary Object
A. Acknowledgments B. About the Author C. Testimonials D. Other Books From Rosenfeld Media
Card Sorting: Designing Usable Categories Mental Models: Aligning design strategy with human behavior Web Form Design: Filling in the Blanks Design Is the Problem: The Future of Design Must be Sustainable Prototyping: A Practitioner’s Guide Storytelling for User Experience: Crafting Stories for Better Design Remote Research: Real Users, Real Time, Real Research
E. Upcoming Books From Rosenfeld Media
Agile Experience Design The Art and Craft of User Research Interviewing: Diving Deep for Insight Designing for Care: The Design Disciplines as Critical Healthcare Professions Eye Tracking the User Experience: A Practical Guide Make It So: Interaction Design Lessons from Science Fiction The Mobile Frontier: A Guide for Designing Mobile Experiences Playful Design: Creating Game Experiences in Everyday Interfaces See What I Mean: How to Use Comics to Communicate Ideas Service Design: Designing Useful, Usable, and Desirable Services Surveys That Work UX Team of One Universal Design for Web Accessibility: Solutions for Barrier-Free User Experiences
F. Keep Up With Rosenfeld Media Index
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