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UX for Enterprise ChatGPT Solutions
UX for Enterprise ChatGPT Solutions

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

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UX for Enterprise ChatGPT Solutions

Recognizing the Power of Design in ChatGPT

If you only like to play with ChatGPT, this book is not for you. Read on to make a quality user experience for customers by incorporating ChatGPT or various alternative language models that span the gamut of cost, quality, and expertise. Every new technology has too many people jumping on the bandwagon only to abandon it with failure. It is widespread. Why? Because they don’t know what they don’t know. But we know what it takes to make successful ChatGPT solutions for the enterprise. We will take you from zero to hero in your organization. Do you want poor-quality interactions or targeted, intelligent results that resonate with customers? Should they feel empowered and able to explore further with the confidence that they are understood? If it is the latter, this book will focus on user experience design methods, practices, and tools to help decide what to do, design the most effective solutions, and verify that they do what...

Technical requirements

There are two ways to work with this book: follow along and learn the principles and practices and use one of the OpenAI playgrounds, which is typically a no-code approach, or use the APIs provided by ChatGPT.

We have examples in our book’s GitHub repository. If this is your first time using GitHub, it is a place where we will store any materials needed to download to complete the examples in the book. It is an online folder of resources.

GitHub: Repository for book materials

GitHub is the repository for all files from the book. Click the download button, highlighted in Figure 1.1, to download the file to the desktop. There is no viewer for most of the files on the GitHub repository.

Figure 1.1 – How to download a file from GitHub

Make sure you have a ChatGPT account.

Website: OpenAI Chat

That is easy...

Traversing the history of conversational AI

Interaction design intersected with AI well before the LLM revolution. This history is helpful to appreciate when applying design principles to the latest conversational experiences. Any discussion of AI at least mentions Alan Turing and the question posed by his article in Mind (a peer-reviewed academic journal).

Article: Computing Machinery and Intelligence (1950)

This is routinely referenced as the Turing Test. The ability of a machine to seem intelligent and be indistinguishable from a human.

Article: Wikipedia on the Turing Test

When this was published in 1950, we were still far from a computer being indistinguishable from a human, at least in a text-only interaction. We must skip ahead to the mid-1960s before we see something that appears to engage in discourse.

If we try out one of ELIZA’s conversational interfaces...

The importance of UX design for ChatGPT

Does ChatGPT even need an introduction at this point? The innovative model developed by OpenAI is in a new class of LLMs, which are trained on billions of data elements from the internet’s vast supply of articles, books, and knowledge. It achieved over 100 million users in about two months. It can generate human-like conversational interactions in text or voice in many languages and converse on vast information. And it does it pretty darn fast.

ChatGPT has undoubtedly come on like a firestorm. Unique, fun, fast, intelligent? However, when designing solutions for your business or enterprise, they should be accurate, have the most current business-related information, and communicate to customers in the voice, style, and tone expected from the business. So, how do you take such a fast-paced moving target and wrap it into a product that exceeds customer’s expectations? Can one ensure that it doesn’t give random answers that...

Understanding the science and art of UX design

Every coin has two sides (okay, plus the edge!). Typically, we see two sides to UX design. Those with visual backgrounds and those who come from a science perspective. Schools are now overwhelmingly delivering visual and graphic artists to meet demand, and with conversational AI, there is some art to the experience but only sometimes visual elements. The introduction of generative AI impacts every facet of interaction design. The design roles will adapt or die. Adaption is the better option. As graphical user interfaces (GUIs) adapt to include conversational elements, the role of a visual designer will still be relevant, even if only to create the correct prompts to help them generate the look and feel that aligns with the organization’s goals. The side of the equation for the science of design remains vital to requirements, understanding, and communication. Even when writing this book, ChatGPT provides some good answers related...

Setting up a customized model

So now we have a sense of the people and tools we need. One more piece of the puzzle is the content that will make a ChatGPT solution valuable. There are many ways to include content in an LLM, such as ChatGPT. However, we assume a focus on unique, proprietary content hidden behind a secure paywall or available only to authenticated users. If company answers are already out in the world and answered by the basic ChatGPT, ask yourself, How would my custom version of ChatGPT provide value? We can help get that answer by focusing our content discussions on building a private model and including company data without sharing it with the world.

The idea of enterprise assistants is precisely that. Ensure company data is only exposed to customers and that adding it to an instance of ChatGPT does not expose the data to the world. Only some people were this careful when ChatGPT was first introduced. Don’t add sensitive data to a model used by competitors...

Summary

At this point, this only scratches the surface. We will go into how to develop a user research plan and apply standard research methods to the conversational world, then dive deep into user interface patterns, guidelines, and heuristics to help guide and improve the quality of an enterprise ChatGPT solution. Once we have something, it is time to apply our care and feeding approaches to monitor and improve the quality of customer experiences, extending it further into more customer use cases with the quality they expect. We will wrap it all up in a nice bow so this newfound expertise can be shared with your friends in development and product management. No person is an island. It does take a team.

Next, let’s cover basic research and tools we can use to understand our users and how we can learn what our customers need. A few suitable research methods can go a long way to bridging the gap for unknown unknowns…

“Reports that say that something hasn&...

References

The links, book recommendations, and GitHub files in this chapter are posted on the reference page:

Web page: Chapter 1 References

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Key benefits

  • 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

Description

Many enterprises grapple with new technology, often hopping on the bandwagon only to abandon it when challenges emerge. This book is your guide to seamlessly integrating ChatGPT into enterprise solutions with a UX-centered approach. UX for Enterprise ChatGPT Solutions empowers you to master effective use case design and adapt UX guidelines through an engaging learning experience. Discover how to prepare your content for success by tailoring interactions to match your audience’s voice, style, and tone using prompt-engineering and fine-tuning. For UX professionals, this book is the key to anchoring your expertise in this evolving field. Writers, researchers, product managers, and linguists will learn to make insightful design decisions. You’ll explore use cases like ChatGPT-powered chat and recommendation engines, while uncovering the AI magic behind the scenes. The book introduces a and feeding model, enabling you to leverage feedback and monitoring to iterate and refine any Large Language Model solution. Packed with hundreds of tips and tricks, this guide will help you build a continuous improvement cycle suited for AI solutions. By the end, you’ll know how to craft powerful, accurate, responsive, and brand-consistent generative AI experiences, revolutionizing your organization’s use of ChatGPT.

Who is this book 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.

What you will learn

  • Align with user needs by applying design thinking to tailor ChatGPT to meet customer expectations
  • Harness user research to enhance chatbots and recommendation engines
  • Track quality metrics and learn methods to evaluate and monitor ChatGPT's quality and usability
  • Establish and maintain a uniform style and tone with prompt engineering and fine-tuning
  • Apply proven heuristics by monitoring and assessing the UX for conversational experiences with trusted methods
  • Refine continuously by implementing an ongoing process for chatbot and feeding
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Table of Contents

17 Chapters
Part 1:UX Foundation for Enterprise ChatGPT Chevron down icon Chevron up icon
Chapter 1: Recognizing the Power of Design in ChatGPT Chevron down icon Chevron up icon
Chapter 2: Conducting Effective User Research Chevron down icon Chevron up icon
Chapter 3: Identifying Optimal Use Cases for ChatGPT Chevron down icon Chevron up icon
Chapter 4: Scoring Stories Chevron down icon Chevron up icon
Chapter 5: Defining the Desired Experience Chevron down icon Chevron up icon
Part 2: Designing Chevron down icon Chevron up icon
Chapter 6: Gathering Data – Content is King Chevron down icon Chevron up icon
Chapter 7: Prompt Engineering Chevron down icon Chevron up icon
Chapter 8: Fine-Tuning Chevron down icon Chevron up icon
Part 3: Care and Feeding Chevron down icon Chevron up icon
Chapter 9: Guidelines and Heuristics Chevron down icon Chevron up icon
Chapter 10: Monitoring and Evaluation Chevron down icon Chevron up icon
Chapter 11: Process Chevron down icon Chevron up icon
Chapter 12: Conclusion Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
(5 Ratings)
5 star 80%
4 star 20%
3 star 0%
2 star 0%
1 star 0%
Jason Goecke Sep 19, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Why This Book MattersMany enterprises are eager to adopt cutting-edge technologies like ChatGPT but often stumble when it comes to seamless integration and user adoption. Richard's book addresses this gap by providing a comprehensive guide that combines design thinking, user research techniques, and practical advice on prompt engineering and fine-tuning.Key Takeaways:Align with User Needs: Learn how to apply design thinking to tailor ChatGPT solutions that meet customer expectations.Enhance with User Research: Discover methods to improve chatbots and recommendation engines based on user insights.Quality Metrics: Understand how to track and evaluate ChatGPT's quality and usability from a customer's perspective.Consistency is Key: Learn to establish and maintain a uniform style and tone through effective prompt engineering.Continuous Improvement: Implement a care and feeding model for ongoing refinement of your AI solutions.What Sets This Book ApartRichard brings a unique blend of UX expertise and practical knowledge of AI technologies. This isn't just another technical manual; it's a user-friendly guide packed with hundreds of tips and tricks to help you build AI experiences that are powerful, accurate, and brand-consistent.Whether you're a UX professional, product manager, writer, or researcher, this book offers valuable insights that can help you revolutionize your organization's use of ChatGPT.Final Thoughts"UX for Enterprise ChatGPT Solutions" is more than just a book; it's a roadmap for businesses aiming to harness the full potential of ChatGPT in an enterprise setting, where user engagement is everything. I highly recommend grabbing a copy.Happy reading!
Amazon Verified review Amazon
Jeffrey A. Johnson Sep 19, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I gladly wrote the foreword for this book because it is unique and timely: a book by a User-Centered Design expert about how to create enterprise applications based on generative AI. If you create enterprise apps and want to 1) enhance them with AI based on large language models (LLMs), and 2) ensure that they meet your customers' requirements, I recommend getting this book and following its recipes.
Amazon Verified review Amazon
GK Oct 02, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book "UX for Enterprise ChatGPT Solutions" by Richard H. Miller, Ph.D. - a Practical Roadmap for Integrating ChatGPT into Enterprise-level UX Processes.Pros:Practical insights on prompt engineering, user research, and use case identificationFocuses on aligning AI solutions with both user goals and business objectivesCovers enterprise-specific considerations like data security and scalabilityProvides hands-on examples and case studies, including fine-tuning models and working with RAGCons:Can be overwhelming for junior designers at timesCould benefit from more real-world examples tailored to junior-level designers"UX for Enterprise ChatGPT Solutions" has significantly expanded my understanding of AI in UX design. The book blends UX principles with AI implementation, making it comprehensive and accessible for those familiar with UX basics but new to enterprise-level AI solutions. This inclusivity ensures that all readers, regardless of their experience level, can benefit from the insights and knowledge shared in the book.
Amazon Verified review Amazon
BravoW Oct 24, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Just finished reading this book. TL,DR1 - Great book for a mid-level or senior ux designer to evolve into staff or principal level.2 - Another great book with handy practical examples for ChatGPT UI or APIs, and more generally, chat designFirst of all, this book assumes you the reader having the foundation of essential UX skills, and it feeds you deep UX knowledge like water from the firehose. Many of them aren't available from popular everyday UX blogs. To name a few- how to prioritize many (ux) tasks, each with its complication, effort and yield? There is a framework for that.- how to conduct the right form of user research? Hint: it doesn't have to be usability testing.Second, with the plethora of ChatGPT UI / API the tutorials online which tend to be complex and highly technical. This book brings great intro to mid-level practical examples which improves our efficiency. Granted ChatGPT will continue to evolve but the gist is there.Highly recommend.
Amazon Verified review Amazon
Om S Sep 13, 2024
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Many enterprises struggle to implement AI solutions like ChatGPT effectively, often facing issues with user engagement and poor results. UX for Enterprise ChatGPT Solutions by Richard H. Miller addresses these challenges by focusing on user experience (UX) as the core solution. The book offers practical steps to design enterprise-level AI tools that are intuitive and user-friendly.From understanding user needs through research to using techniques like prompt engineering and fine-tuning, the book provides clear guidance on how to make ChatGPT work for businesses. It’s especially helpful for UX designers and product managers who want to improve the user experience of AI systems. By following the methods outlined, readers can create more responsive and reliable AI solutions that truly meet enterprise needs.
Amazon Verified review Amazon
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