This second edition explains, demonstrates and evaluates 105 tested problem-solving techniques, 35 more than appeared in the first edition. Having more techniques at your disposal enables you to solve a wider range of problems without wasting time looking for the best solutions. In addition, you will find new techniques for classifying problems - to solve them faster - as well as expanded discussion of proven brainstorming and brainwriting methods.

Complex problem solving is the core skill for 21st Century Teams Complex problem solving is at the very top of the list of essential skills for career progression in the modern world. But how problem solving is taught in our schools, universities, businesses and organizations comes up short. In Bulletproof Problem Solving: The One Skill That Changes Everything you’ll learn the seven-step systematic approach to creative problem solving developed in top consulting firms that will work in any field or industry, turning you into a highly sought-after bulletproof problem solver who can tackle challenges that others balk at. The problem-solving technique outlined in this book is based on a highly visual, logic-tree method that can be applied to everything from everyday decisions to strategic issues in business to global social challenges. The authors, with decades of experience at McKinsey and Company, provide 30 detailed, real-world examples, so you can see exactly how the technique works in action. With this bulletproof approach to defining, unpacking, understanding, and ultimately solving problems, you’ll have a personal superpower for developing compelling solutions in your workplace. Discover the time-tested 7-step technique to problem solving that top consulting professionals employ Learn how a simple visual system can help you break down and understand the component parts of even the most complex problems Build team brainstorming techniques that fight cognitive bias, streamline workplanning, and speed solutions Know when and how to employ modern analytic tools and techniques from machine learning to game theory Learn how to structure and communicate your findings to convince audiences and compel action The secrets revealed in Bulletproof Problem Solving will transform the way you approach problems and take you to the next level of business and personal success.

The fun and simple problem-solving guide that took Japan by storm Ken Watanabe originally wrote Problem Solving 101 for Japanese schoolchildren. His goal was to help shift the focus in Japanese education from memorization to critical thinking, by adapting some of the techniques he had learned as an elite McKinsey consultant. He was amazed to discover that adults were hungry for his fun and easy guide to problem solving and decision making. The book became a surprise Japanese bestseller, with more than 370,000 in print after six months. Now American businesspeople can also use it to master some powerful skills. Watanabe uses sample scenarios to illustrate his techniques, which include logic trees and matrixes. A rock band figures out how to drive up concert attendance. An aspiring animator budgets for a new computer purchase. Students decide which high school they will attend. Illustrated with diagrams and quirky drawings, the book is simple enough for a middleschooler to understand but sophisticated enough for business leaders to apply to their most challenging problems.

Note to Readers: Publisher does not guarantee quality or access to any included digital components if book is purchased through a third-party seller. Applied Problem-Solving in Healthcare Management is a practical textbook devoted to developing and strengthening problem-solving and decision-making leadership competencies of healthcare administration students and healthcare management professionals. Built upon the University of Minnesota Master of Healthcare Administration Program’s Problem-Solving Method, the text describes the “never assume” mindset and the structured method that drive evidence-based, action-oriented problem-solving. The “never assume” mindset requires healthcare leaders to understand themselves and their stakeholders, and to engage in waves of divergent and convergent thinking. This structured method guides the problem solver through the phases of defining, studying, and acting on complex interrelated organizational problems that involve multiple root causes. The book also describes how the Problem-Solving Method is complementary to quality improvement methods and can be used in healthcare organizations along with Lean, Design Thinking, and Human Centered Design. Providing step-by-step instruction including useful tips, tools, activities, and case studies, this effective resource demonstrates the utility of the method for all types of health organization settings including health systems, hospitals, clinics, population health, and long-term care. For students taking health management, capstone, and experiential learning courses, including internship and residency projects, this book allows them to test and apply their problem-solving and decision-making skills to real-world situations. Beyond the classroom, it is an indispensable resource for organizations seeking to enhance the problem-solving skills of their workforce. The authors of the text have nearly 75 years of combined experience in healthcare management, leadership, and professional consulting, and teaching and advising healthcare administration students in classrooms, on student capstone, internship and residency projects, and case competitions. Synthesizing their expertise, this text serves as a guide for those who wish to strengthen their problem-solving abilities to systematically identify, analyze, study, and solve pressing organizational challenges in healthcare settings. Key Features: Describes a mindset and a structured problem-solving method that builds leadership competencies Encourages a step-by-step problem-solving approach to define, study, and act on problems to drive action-oriented solutions Supports experiential learning and coaching for students and professionals early in their careers, applicable especially to healthcare management, capstone, and student consulting courses, internship and residency projects, case competitions, and professional development in organizations Compares the Problem-Solving Method to other complementary methods used in many healthcare organizations, including Lean, Design Thinking, and Human Centered Design

This book provides a systematic approach to solving business problems, designed to maximize the likelihood of finding the optimum solution in each case. Part I outlines the process involved. Part II describes and illustrates no fewer than 33 problem-solving 'tools' and includes a grid that enables their respective uses and merits to be compared at a glance. Managers and other professionals will find this new PARSEC Guide a powerful aid to more effective performance.

This book provides a comprehensive, up-to-date look at problem solving research and practice over the last fifteen years. The first chapter describes differences in types of problems, individual differences among problem-solvers, as well as the domain and context within which a problem is being solved. Part one describes six kinds of problems and the methods required to solve them. Part two goes beyond traditional discussions of case design and introduces six different purposes or functions of cases, the building blocks of problem-solving learning environments. It also describes methods for constructing cases to support problem solving. Part three introduces a number of cognitive skills required for studying cases and solving problems. Finally, Part four describes several methods for assessing problem solving. Key features includes: Teaching Focus – The book is not merely a review of research. It also provides specific research-based advice on how to design problem-solving learning environments. Illustrative Cases – A rich array of cases illustrates how to build problem-solving learning environments. Part two introduces six different functions of cases and also describes the parameters of a case. Chapter Integration – Key theories and concepts are addressed across chapters and links to other chapters are made explicit. The idea is to show how different kinds of problems, cases, skills, and assessments are integrated. Author expertise – A prolific researcher and writer, the author has been researching and publishing books and articles on learning to solve problems for the past fifteen years. This book is appropriate for advanced courses in instructional design and technology, science education, applied cognitive psychology, thinking and reasoning, and educational psychology. Instructional designers, especially those involved in designing problem-based learning, as well as curriculum designers who seek new ways of structuring curriculum will find it an invaluable reference tool.

Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.

"The process by which a company identifies, frames, acts and reviews progress on problems, projects and proposals can be found in the structure of the A3 process ... follow the story of a manager ... and his report ... which will reveal how the A3 can be used as a management process to create a standard method for innovating, planning, problem-solving, and building structures for a broader and deeper form of thinking - a practical and repeatable approach to organizational learning"--Publisher's description.