Much of the current literature emphasizes conducting research correctly, yet applying these learnings can prove challenging due to the predominantly organizational nature of the obstacles. These case studies will delve into not just the research but organizational challenges and proposed strategies for overcoming them.

This book addresses a gap in Human-Computer Interaction (HCI) educational resources by focusing on the practical application of evaluative UX outcome-based methods. Drawing inspiration from law casebooks, it presents a curated collection of case studies from experienced User Experience Researchers (UXRs), showcasing detailed examples of these methods in action. Each case study is chosen for its adaptability, impact on product development, and emphasis on evaluative UX metrics, offering authentic learning experiences that engage readers deeply by connecting theory to real-world contexts.

Chapters will address the following sub-themes (but are not limited to) the following areas:

• Introduction to UX Metrics: Provides a comprehensive overview of UX evaluation strategies, including establishing a playbook, consideration of OKRs, metric selection, and organizational integration, and strategies for developing a metrics-focused approach.

• Benchmarking: Provides real-world examples from benchmarking studies that illustrate the entire process—from the design and execution of benchmarks to how the results are shared. These case studies demonstrate how benchmarks are crafted, implemented, and communicated. They showcase instances of pinpointing areas for enhancement, monitoring advancements toward objectives and targets, and conducting competitive analysis.

• Establishing and Leveraging Data from UX Metrics: Explores case studies that thoroughly explore analysis and diagnostic methods relating to summative methods, highlighting the meticulous and precise approaches applied in these processes. These examples illustrate effective ways to enhance rigor and confidence in analyzing user experience outcomes.

• Evaluating Artificial Intelligence (AI): Explores the transformative influence of AI in shaping the future across various industries. The presented case studies delve into understanding challenges faced by practitioners, examining the concept of AI trust, and assessing the effectiveness of AI systems.

• Creating Case Studies: Outlines the process of creating case studies, enabling them to share their own experiences upon entering the industry. With this casebook and the knowledge of how to contribute valuable experiences, we envision the potential for it to act as a catalyst for change in addressing the HCI educational resource challenge.