This guidebook goes beyond people analytics to provide a research-based, practice-tested methodology for doing relational analytics, based on the science of relational coordination. We are witnessing a revolution in people analytics, where data are used to identify and leverage human talent to drive performance outcomes. Today’s workplace is interdependent, however, and individuals drive performance through networks that span department, organization and sector boundaries. This book shares the relational coordination framework, with a validated scalable analytic tool that has been used successfully across dozens of countries and industries to understand, measure and influence networks of relationships in and across organizations, and which can be applied at any level in the private and public sectors worldwide. Graduate students and practitioners in human resource management, health policy and management, organizational behavior, engineering and network analysis will appreciate the methodology and hands-on guidance this book provides, with its focus on identifying, analyzing and building networks of productive interdependence. Online resources include data appendices and statistical commands that can be used to conduct all these analyses in readers’ own organizations. It is rare that a book is of equal relevance and value to both the practice and research communities. Relational Analytics is one such book. Grounded in the theory, research and measures of both relational coordination and social network analysis, its major contribution will be in bringing practitioners and researchers closer together in co-producing knowledge to improve organizational performance. Stephen M. Shortell, Blue Cross of California Distinguished Professor of Health Policy and Research Emeritus and Dean Emeritus, School of Public Health, UC-Berkeley Relational Analytics offers a fresh interpretation of people analytics; it shows how managers can use analytics to specify role interdependencies and with whom employees need to interact most critically to achieve strategic objectives. This outstanding book should be read by organizational and HR scholars as well as by organizational leaders, HR Directors, and line managers. Katherine C. Kellogg, MIT Sloan School of Management Relational Analytics is a wonderful explanation of the power of relationships in driving successful outcomes and a powerful counter to the disproportionate attention given to individual contributions. It organizes the broad literature related to this topic in ways that help students understand it and practitioners use it. Peter Cappelli, George W. Taylor Professor of Management, Director, Center for Human Resources, The Wharton School, and Professor of Education, University of Pennsylvania This is a quite amazing book. It is written for both practitioners and researchers, and accessible to both. It helps practitioners use relational coordination to improve organizational performance and helps researchers and would-be researchers study its effectiveness. It is comprehensive. It includes the fundamental theory of relational coordination and a systematic review of a large number of studies using the approach that strongly establishes its scholarly credentials. It also gives illustrations of how the approach has been used and gives guidance on how it can be used to intervene. Relational Analytics is the first book in decades (perhaps since Hackman and Oldham’s Work Redesign in 1980) to give such a comprehensive and accessible treatment of a construct and approach that are important in both theory and practice. It should be a valuable teaching tool for masters and PhD students in the social sciences and a stimulus for creating and studying positive relational interventions in organizations. I strongly recommend it. Jean M. Bartunek, Robert A. and Evelyn J. Ferris Chair, Boston College Relational coordination has been my go-to explanatory frame for interdependence and coordination since the early 2000’s, and I have used the relational coordination scale to understand the quality of coordination and teamwork in several real world interdisciplinary care contexts. But how to help students focusing on applied health services research understand and successfully apply the theory, and quickly master the mechanics of properly calculating relational coordination measures? Relational Analytics is an expansive and refined text that lays out the necessary theoretical and practical detail for young scholars to successfully delve into the complexity of coordination. What a welcome addition to the suite of doctoral training tools! Jill A. Marsteller, Professor of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health Relational Analytics is firmly grounded in the premise that relationships form the fabric of organizations. While most methods analyze organizations at the group or individual level, Gittell and Ali provide the framework and to