UX for AI: A Framework for Designing AI-Driven Products

UX for AI: A Framework for Designing AI-Driven Products

UX for AI: A Framework for Designing AI-Driven Products

Author: Greg Nudelman (Author), Daria Kempka (Editor)

Publisher finelybook 出版社:‏ Wiley

Publication Date 出版日期: 2025-05-13

Edition 版本:‏ 1st

Language 语言: English

Print Length 页数: 352 pages

ISBN-10: 1394345925

ISBN-13: 9781394345922

Book Description

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.

From the Back Cover

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.

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.

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PDF, EPUB | 136 MB | 2025-05-25
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