Learn to research, plan, design, and test the UX of AI-powered products

Unlock the future of design with UX for AI―your indispensable guide to not only surviving but thriving in a world powered by artificial intelligence. Whether you're a seasoned UX designer or a budding design student, this book offers a lifeline for navigating the new normal, ensuring you stay relevant, valuable, and indispensable to your organization.

In UX for AI: A Framework for Designing AI-Driven Products, Greg Nudelman―a seasoned UX designer and AI strategist―delivers a battle-tested framework that helps you keep your edge, thrive in your design job, and seize the opportunities AI brings to the table. Drawing on insights from 35 real-world AI projects and acknowledging the hard truth that 85% of AI initiatives fail, this book equips you with the practical skills you need to reverse those odds.

You'll gain powerful tools to research, plan, design, and test user experiences that seamlessly integrate human-AI interactions. From practical design techniques to proven user research methods, this is the essential guide for anyone determined to create AI products that not only succeed but set new standards of value and impact.

Inside the book:

• Hands-on exercises: Build your confidence and skills with practice UX design tasks like Digital Twin and Value Matrix, which you can immediately apply to your own AI projects.
• Common AI patterns and best practices: Explore design strategies for LLMs (Large Language Models), search engines, copilots, and more.
• Proven user research strategies: Learn how to uncover user needs and behaviors in this brave new world of AI-powered design.
• Real-world case studies: See how simple, practical UX approaches have prevented multimillion-dollar failures and unlocked unprecedented value.

Perfect for any UX designer working with AI-enabled and AI-driven products, UX for AI is also a must-read resource for designers-in-training and design students with an interest in artificial intelligence and contemporary design.

Table of Contents

PART 1—Framing the Problem

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

CHAPTER 2 The Importance of Picking the Right Use Case

CHAPTER 3 Storyboarding for AI Projects

CHAPTER 4 Digital Twin—Digital Representation of the Physical Components of Your System

CHAPTER 5 Value Matrix—AI Accuracy Is Bullshit. Here’s What UX Must Do About It

PART 2—AI Design Patterns

CHAPTER 6 Case Study: What Made Sumo Copilot Successful?

CHAPTER 7 UX Best Practices for SaaS Copilot Design

CHAPTER 8 Reporting—One of the Most Important Copilot Use Cases

CHAPTER 9 LLM Design Patterns

CHAPTER 10 Search UX Revolution: LLM AI in Search UIs

CHAPTER 11 AI-Search Part 2: “Eye Meat” and DOI Sort Algorithms

CHAPTER 12 Modern Information Architecture for AI-First A

CHAPTER 14 Designing for Anomaly Detection

CHAPTER 15 UX for Agentic AI

PART 3—Research for AI Projects

CHAPTER 16 Case Study: MUSE/Disciplined Brainstorming

CHAPTER 17 The New Normal: AI-Inclusive User-Centered Design Process

CHAPTER 18 AI and UX Research

CHAPTER 19 RITE, the Cornerstone of Your AI Research

PART 4—Bias and Ethics

CHAPTER 20 Case Study: Asking Tough Questions Through Vision Prototyping

CHAPTER 21 All AI Is Biased

CHAPTER 22 AI Ethics

CHAPTER 23 UX Is Dead. Long Live UX for AI!

About the Author

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.