UX for Enterprise ChatGPT Solutions: A practical guide to designing enterprise-grade LLMs

by Richard H. Miller, Jeff Johnson (Foreword by)

Overview

Create engaging AI experiences by mastering ChatGPT for business and leveraging user interface design practices, research methods, prompt engineering, the feeding lifecycle, and more

Key Features

• Learn in-demand design thinking and user research techniques applicable to all conversational AI platforms
• Measure the quality and evaluate ChatGPT from a customer’s perspective for optimal user experience
• Set up and use your secure private data, documents, and materials to enhance your ChatGPT models
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Many enterprises struggle with new technology, often jumping on the bandwagon only to abandon it when challenges arise. This book will help you successfully integrate ChatGPT into your enterprise with a user experience (UX)-centered approach. UX for Enterprise ChatGPT Solutions will help you gain a clear understanding of effective use case design and adapt UX guidelines via a seamless learning experience. You’ll find out how to get your content ready for success, ensuring that interactions are tailored to your audience’s voice, style, and tone. For UX professionals, the book provides the glue to affix your expertise to this new space. Writers, researchers, product managers, and linguists will learn how to make well-thought-out design decisions. You’ll work with use cases such as ChatGPT-powered chat and recommendation engines, as well as see how AI is used behind the scenes. The chapters also teach you about the feeding model, enabling you to use feedback and monitoring to iterate before you develop a continuous improvement cycle appropriate for AI solutions. By the end of this book, you’ll have learned how to create powerful, accurate, responsive, and brand-consistent generative AI experiences, transforming your organization’s use of ChatGPT.

What you will learn

• Utilize user research techniques for solutions, such as chatbots and recommendation engines
• Define a technique to assess and track the quality of your ChatGPT experience
• Ensure that your ChatGPT instance matches your customers' needs and expectations
• Define and implement a consistent style and tone for your specific ChatGPT instance
• Leverage well-understood heuristics to monitor and evaluate your chatbot's performance
• Establish a process for continuous refinement and improvement of your chatbot

Who this book is for

This book is for user experience designers, product managers, and product owners of business and enterprise ChatGPT solutions who are interested in learning how to design and implement ChatGPT-4 solutions for enterprise needs. You should have a basic-to-intermediate level of understanding in UI/UX design concepts and fundamental knowledge of ChatGPT-4 and its capabilities.

Product Details

ISBN-13:	9781835463802
Publisher:	Packt Publishing
Publication date:	09/06/2024
Sold by:	Barnes & Noble
Format:	eBook
Pages:	446
File size:	17 MB
Note:	This product may take a few minutes to download.

About the Author

Richard H. Miller, Ph.D., is a dynamic leader in user experience and conversational AI. With over 20 years of experience in UX design strategy and 7 years in conversational AI, he has founded and managed four global teams, delivering user-centered design solutions to Fortune 500 organizations. At Oracle Corp., he led a team that developed the Oracle support portal, generating over $15B of in-service support revenue. Richard was at the forefront of Oracle's conversational AI deployments on Slack, Teams, and the web. He developed the Expense Assistant AI and designed Oracle's first conversational AI platform. After multiple start-ups, some successful and some not so much, he has grown his design expertise across many disciplines, platforms, toolkits, and technologies. Dr. Miller, as he is known in academic circles or when teaching, specializes in global team building, innovative UX design, Agile design, and growing the expertise of the next generations of UI leaders. Richard still gets to apply what he learned from his Ph.D. in UX design and his MBA. He is committed to excellence and innovation in design and conversational AI.

Table of Contents

Table of Contents

1. Recognizing the Power of Design in ChatGPT
2. Conducting Effective User Research
3. Identifying Optimal Use Cases for ChatGPT
4. Scoring Stories
5. Defining the Desired Experience
6. Gathering Data – Content is King
7. Prompt Engineering
8. Fine-Tuning
9. Guidelines and Heuristics
10. Monitoring and Evaluation
11. Process
12. Conclusion