Autorentext

GREG NUDELMAN is a UX Designer, strategist, speaker, and author with more than 20 years' experience helping Fortune 100 clients - including Cisco, IBM, and Intuit - create loyal customers and generate hundreds of millions of dollars in additional valuation. He has worked on 35 AI projects and is currently a Distinguished Designer at Sumo Logic.

Klappentext

An expert playbook for UX professionals researching, designing, and testing AI-powered products In UX for AI: A Framework for Designing AI-Driven Products, Greg Nudelman - a seasoned UX designer and AI strategist - delivers a proven framework for creating exciting, effective, and practical UX designs that integrate with new artificial intelligence technologies. You'll find tools you can put to work immediately as you research, plan, design, and test user experiences that incorporate human-AI interactions. The book offers hands-on design techniques that rely on tested user research methods. It also includes exercises, like Digital Twin and Value Matrix, that build your design skills and confidence, as well as AI patterns and best practices that have proven effective in real-world deployments of LLMs (Large Language Models), AI agents, copilots, AI search tools, and more. UX for AI is an original and up-to-date design guide that belongs on the desk of every UX designer and product professional working with AI-enabled or AI-driven products. It's also a must-read for students of UX design, new and trainee UX professionals, and anyone else involved in the creation of software that incorporates artificial intelligence.

Inhalt

Introduction xxv

How to Use This Book xxxi

Part 1-Framing the Problem 1

Chapter 1 Case Study: How to Completely F*ck Up Your AI Project 3

A Boiling Pot of Spaghetti 3

Fail #1: Try to Replace a Trained Expert with AI 4

Fail #2: Forget About Cost vs. Benefit 4

Fail #3: No ML Training Data? No Problem! 5

Fail #4: It Makes No Difference What Question Your AI Model Is Answering 6

Fail #5: Don't Worry About User Research-You Have an SME! 6

Final Thoughts 8

Reference 9

Chapter 2 The Importance of Picking the Right Use Case 11

Presuming That AI Will Be Telling Experts How to Do Their Job Is a Red Flag 11

Ask a Better Question 12

Reference 14

Chapter 3 Storyboarding for AI Projects 21

Why Bother with a Storyboard? 22

How to Create a Storyboard 24

Establishing Shot 24

Things 25

People 26

Faces 26

Transitions 27

Storyboard Conclusion 31

Storyboarding for AI 34

Final Thoughts 36

Design Exercise: Create Your Own Storyboard 36

Storyboarding Exercise Example: Death Clock 37

References 38

Chapter 4 Digital Twin-Digital Representation of the Physical Components of Your System 39

Digital Twin of a Wind Turbine Motor 39

The Digital Twin Is an Essential Modeling Exercise for Designing AI-Driven Products 43

How to Build a Digital Twin: An Example 44

Wait, There's More! 46

Design Exercise: Create Your Own Digital Twin 48

Reflect 49

Design Exercise Example: Life Clock Digital Twin 49

Chapter 5 Value Matrix-AI Accuracy Is Bullshit. Here's What UX Must Do About It 51

The Big Secret 51

Confusion Matrix: How Can Accurate AI Be Wrong? 53

Value Matrix: The AI Tool for the Real World 55

Training AI on Real-Life Outcomes to "Think" Like a Human 56

One More Example 58

Final Thoughts: The Importance of Human Cost/Benefit 58

Design Exercise: Create Your Own Value Matrix 59

Design Exercise Example: Life Clock Value Matrix 60

References 61

Part 2-AI Design Patterns 67

Chapter 6 Case Study: What Made Sumo Copilot Successful? 69

Strong Use Case 69

Clear Vision 70

Dedicated Full-Screen UI 71

AI-Driven Autocomplete 71

Next-Steps Suggestions 73

Final Words 74

References 74

Chapter 7 UX Best Practices for SaaS Copilot Design 75

The More Important the Task, the More Real Estate Is Required 75

Side Panel 75

Large Overlay 76

Full Page 77

Contents xix

SaaS Copilot Is Stateful 78

Specialized Fine-Tuned ChatGPT Model 78

Plug-Ins: Integrated Continuous Learning About Your Specific System 79

The IA of the AI Is Straightforward, Focused on Chat 80

Promptbooks: No Need to Twist into Pretzels to Write Prompts 82

Final Thoughts 82

Design Exercise: Create Your Own Mobile Copilot 83

Design Exercise Example: Life Clock Copilot 84

References 87

Chapter 8 Reporting-One of the Most Important Copilot Use Cases 89

Zoom AI Companion 89

Meeting Summary 89

Answer Questions About the Meeting 89

Set It and Forget It 90

UI Modality Switch 90

Microsoft Security Copilot 91

Executive Summary: A General Report 93

Pinboard: A Specialized Report Focused Only on Selected Key Details 93

Info for Report: Ignore Automatically vs. Pick Manually? 94

Security and Privacy 97

Design Exercise: Create Your Own Copilot Report 97

Design Exercise Example: Life Clock Copilot Report 98

Daily Report 98

Weekly Report 99

Chapter 9 LLM Design Patterns 103

Restating 105

Auto-Complete 106

Talk-Back 108

Initial Suggestions 108

Next Steps 111

Regen Tweaks 113

Guardrails 113

Design Exercise: Try Out the LLM Patterns 116

Design Exercise Example: "Life Copilot Plus" 117

Chapter 10 Search UX Revolution: LLM AI in Search UIs 121

The Current State of Search 121

Google Search 121

Amazon Search 122

The "Mysteries That Are Not Scary" Problem 122

Enter LLMs 126

Design Exercise: Design Your Own LLM Search UI 130

Design Exercise Example: Life Copilot LLM Search 130

Chapter 11 AI-Search Part 2: "Eye Meat" and DOI Sort Algorithms 133

What Are Dynamic Dashboards? 133

Beware of Bias in AI Recommendations 137

DOI: Degree of Interest/Sort Algorithms 138

Design Exercise: Create Your Own Dynamic Dashboards and Sort UI 143

References 143

Chapter 12 Modern Information Architecture for AI-First Applications 145

Design Pattern du Jour: The Canvas 145

Is Information Architecture Dead? 146

Amazon.com: Conventional Approach 148

"AI-Minus"? Homepage 148

Conventional Search Results Page 149

AI-Plus Item Detail Page 150

Conventional Maintenance Pages 151

AI-First Amazon.com Redesign 151

AI-First Analysis Overview Page 151

AI-First Category Analysis Pages 152

AI-First LLM Search 155

AI-First Item Detail 156

AI-First Maintenance Pages 159

Long Live Information Architecture! 159

Chapter 13 Forecasting with Line Graphs 165

Linear Regression 166

R-Squared 167

R vs. R-Squared 169

Forecasting with AI 169

Nonlinear Regression 170

Seasonality 172

Contents xxi

Forecasting an Aggregate Variable 173

Final Words 175

Design Exercise: Design Your Own Forecasting UI 175

Design Exercise Example: Life Clock Forecasting 176

References 177

Chapter 14 Designing for Anomaly Detection 179

Why Is Detecting Anomalies Important? 179

Four Main Anomaly Types 180

Point Anomaly 181

Change Point Anomaly 185

Contextual Anomaly 188

Curve Shape Anomalies 192

Design Exercise Example: Life Clock Anomaly Detection UI 195

References 196

Getting Ready for AI-pocalypse: Shorthand UX Design Notation as AI Prompt 197

Shorthand UX Design Notation 197

Shorthand Notation as AI Prompt to Go Directly to Working Code 198

What Is Human Work? 202

Chapter 15 UX for Agentic AI 203

What Are AI Agents? 203

How Do AI Agents Work? 204

Use Case: CloudWatch Investigation with AI Agents 205

Final Thoughts 209

References 211

Part 3-Research for AI Projects 213

Chapter 16 Case Study: MUSE/Disciplined Brainstorming 215

Design Idea #1 215

Design Idea #2 217

Design Idea #3 217

Design Idea #4 218

Design Idea #5 218

But Wait, Did You Catch That? 219

Design Exercise: Create Your Novel Designs Using Bookending 221

Design Exercise Example: Novel Design Ideas for Life Clock 222

References 222

**Chapter 17 The …