This book is an exploration of the reasons, biases, and blind spots that result in people making assumptions and jumping to conclusions during problem-solving. It delves deep into why even experts often make errors in judgment when problem-solving.
Through a combination of behavioral science, data science, and real-world examples, this project is aimed at equipping the reader with a deeper understanding and awareness and a practical toolset to allow them to separate speculation from fact and get to the true root cause.
The book applies principles of lean thinking, scientific method, and statistical analysis to problem-solving scenarios. By introducing concepts such as attribute agreement analysis, cognitive biases, hypothesis testing, and special cause vs common cause, the book provides the reader with a structure that enables them to navigate complex problems. The narrative is enriched with stories and anecdotes that reinforce the concepts and demonstrate how the tools have been and can be successfully used. In addition, the book demonstrates through some of these stories the negative impact that assumptions have had in various fields ranging from medicine to engineering.
Essentially, the book makes rigorous problem-solving methodologies and the application of the scientific method engaging and accessible. The book employs humor, storytelling, and relatable anecdotes to illustrate abstract concepts, making it an effective learning tool for both professionals and general readers. Readers are encouraged to actively challenge their own biases, improving their ability to validate assumptions before acting on them.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Séamus Maguire is Vice President of Lean Systems at Radiometer, a global leader in medical device manufacturing. With over 20 years of experience in the Medtech industry, he previously served as Global VP of GROWTTH and Lean Systems at Freudenberg Medical, where he led transformation initiatives across 10 international facilities.
He holds credentials as a Lean Systems Master Black Belt, an ASQ Six Sigma Black Belt, and a Scrum Master, and brings a strong foundation in Analytical Chemistry to his work. Séamus specializes in designing practical, people-centered systems that make continuous improvement and rigorous problem-solving simple, sustainable, and engaging. Blending insightful industry expertise with relatable anecdotes, he empowers businesses to make smarter decisions and achieve lasting performance gains.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. This book is an exploration of the reasons, biases, and blind spots that result in people making assumptions and jumping to conclusions during problem-solving. It delves deep into why even experts often make errors in judgment when problem-solving.Through a combination of behavioral science, data science, and real-world examples, this project is aimed at equipping the reader with a deeper understanding and awareness and a practical toolset to allow them to separate speculation from fact and get to the true root cause.The book applies principles of lean thinking, scientific method, and statistical analysis to problem-solving scenarios. By introducing concepts such as attribute agreement analysis, cognitive biases, hypothesis testing, and special cause vs common cause, the book provides the reader with a structure that enables them to navigate complex problems. The narrative is enriched with stories and anecdotes that reinforce the concepts and demonstrate how the tools have been and can be successfully used. In addition, the book demonstrates through some of these stories the negative impact that assumptions have had in various fields ranging from medicine to engineering.Essentially, the book makes rigorous problem-solving methodologies and the application of the scientific method engaging and accessible. The book employs humor, storytelling, and relatable anecdotes to illustrate abstract concepts, making it an effective learning tool for both professionals and general readers. Readers are encouraged to actively challenge their own biases, improving their ability to validate assumptions before acting on them. This book is an exploration of the reasons, biases, and blind spots that result in people making assumptions and jumping to conclusions during problem-solving. It delves deep into why, even experts, often make errors in judgment when problem-solving. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781041130307
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Vendeur : Rarewaves USA, HEBRON, KY, Etats-Unis
Paperback. Etat : New. This book is an exploration of the reasons, biases, and blind spots that result in people making assumptions and jumping to conclusions during problem-solving. It delves deep into why even experts often make errors in judgment when problem-solving.Through a combination of behavioral science, data science, and real-world examples, this project is aimed at equipping the reader with a deeper understanding and awareness and a practical toolset to allow them to separate speculation from fact and get to the true root cause.The book applies principles of lean thinking, scientific method, and statistical analysis to problem-solving scenarios. By introducing concepts such as attribute agreement analysis, cognitive biases, hypothesis testing, and special cause vs common cause, the book provides the reader with a structure that enables them to navigate complex problems. The narrative is enriched with stories and anecdotes that reinforce the concepts and demonstrate how the tools have been and can be successfully used. In addition, the book demonstrates through some of these stories the negative impact that assumptions have had in various fields ranging from medicine to engineering.Essentially, the book makes rigorous problem-solving methodologies and the application of the scientific method engaging and accessible. The book employs humor, storytelling, and relatable anecdotes to illustrate abstract concepts, making it an effective learning tool for both professionals and general readers. Readers are encouraged to actively challenge their own biases, improving their ability to validate assumptions before acting on them. N° de réf. du vendeur LU-9781041130307
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Paperback. Etat : New. This book is an exploration of the reasons, biases, and blind spots that result in people making assumptions and jumping to conclusions during problem-solving. It delves deep into why even experts often make errors in judgment when problem-solving.Through a combination of behavioral science, data science, and real-world examples, this project is aimed at equipping the reader with a deeper understanding and awareness and a practical toolset to allow them to separate speculation from fact and get to the true root cause.The book applies principles of lean thinking, scientific method, and statistical analysis to problem-solving scenarios. By introducing concepts such as attribute agreement analysis, cognitive biases, hypothesis testing, and special cause vs common cause, the book provides the reader with a structure that enables them to navigate complex problems. The narrative is enriched with stories and anecdotes that reinforce the concepts and demonstrate how the tools have been and can be successfully used. In addition, the book demonstrates through some of these stories the negative impact that assumptions have had in various fields ranging from medicine to engineering.Essentially, the book makes rigorous problem-solving methodologies and the application of the scientific method engaging and accessible. The book employs humor, storytelling, and relatable anecdotes to illustrate abstract concepts, making it an effective learning tool for both professionals and general readers. Readers are encouraged to actively challenge their own biases, improving their ability to validate assumptions before acting on them. N° de réf. du vendeur LU-9781041130307
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Paperback. Etat : Brand New. 120 pages. 10.00x7.00x10.00 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __1041130309
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 120 pages. 10.00x7.00x10.00 inches. In Stock. N° de réf. du vendeur x-1041130309
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