Design thinking gives a team a sequence for moving from a problem to a tested solution. Daniel Graff, Mark A. Clark, Dan Li and Lei Xia show how AI tools can support each step.
Readical Key Points
- More than 40 established design thinking tools adapted for use with AI, each with step-by-step instructions, according to the publisher
- Organized by phase: preparation, research, creativity, prototyping and testing, and implementation, with use cases in each section
- Includes guidance on building AI agents for design projects and overviews of more than 100 AI programs, according to the publisher
- Paperback, 322 pages, Palgrave Macmillan (Palgrave Executive Essentials), 2026
The book follows the design thinking process in order. Each section explains a phase, presents tools for it, such as a customer journey map or rapid prototyping, and shows how an AI program can take on part of the work. Use cases close each section, and a final part surveys AI tools phase by phase. The instructions assume little prior experience with AI, according to the publisher.
It is written for managers, product and service designers, innovation teams and students, and works in a classroom or a workplace. The authors are design and business scholars from Tongji University in Shanghai and American University's Kogod School of Business. AI programs change quickly, so check each tool's current features and terms before building a workflow around it.
About the Authors
According to the publisher, Daniel Graff directs research at Tongji University's Design AI Lab, where Dan Li and Lei Xia have carried out doctoral research in design. Mark A. Clark is a professor of management at American University's Kogod School of Business, and his research covers how teams perform, lead and collaborate.
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