Book cover of Smarter Faster Better by Charles Duhigg — Book Drop Library

Productivité

Smarter Faster Better

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Charles Duhigg’s "Smarter Faster Better" explores the science of productivity, arguing that real gains come not from working longer hours but from making better choices about how we think and organize our lives. The book, published in 2016 as a follow-up to Duhigg’s "The Power of Habit," builds each chapter around a distinct cognitive or organizational principle, illustrated through reported stories of real people and institutions. Duhigg opens with motivation, using the story of a Marine Corps boot camp to explain how giving people a sense of control—even over small things—fuels internal drive. He then examines teams through a study of Google’s Project Aristotle, which found that psychological safety, not sheer talent, predicted which teams performed best. A chapter on focus contrasts cognitive “stretch” goals with rote tasks, showing how constructing mental models helps people avoid distraction. The concept of goal setting is explored through the story of General Electric and the dangers of “SMART” goals, which can narrow attention too much; Duhigg instead promotes stretch goals paired with concrete sub-goals. Decision-making is illustrated by poker player Annie Duke and by airline cockpit reforms, highlighting probabilistic thinking and the value of “disfluency.” Innovation is examined through the creative teams behind Disney’s "Frozen" and the improv comedy tradition, emphasizing how combining existing ideas and encouraging dissent produces breakthroughs. Finally, Duhigg discusses how absorbing data—turning information into narratives—can improve learning, using the example of a Cincinnati school district that boosted graduation rates. Across the book, Duhigg ties these ideas to a central claim: productivity is less about discipline than about managing how we frame choices, build teams, and interpret information. Each chapter pairs a memorable story with social-science research, offering concrete mental models rather than generic advice.

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