The Design of Insight: How to Solve Any Business Problem by Mihnea Moldoveanu, Olivier Leclerc

By Mihnea Moldoveanu, Olivier Leclerc

Familiar modes of challenge fixing will be effective, yet they typically hinder us from researching cutting edge strategies to extra complicated difficulties. To create significant swap, we needs to teach ourselves to find formerly unseen variables in day by day demanding situations. The layout of Insight is meant to be a private problem-solving platform for choice makers and advisors who search solutions to serious enterprise questions. It introduces an process that makes use of a number of "problem-solving languages" to systematically extend our knowing of challenge framing and prime quality challenge fixing. helpful as a severe pondering technique or a think-out-loud record for strategic groups, this short is a source for enriching and imposing considerate administration practices.

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Alk. paper) 1. Problem solving. 2. Insight. 3. Industrial management. I. Leclerc, Olivier, (Business consultant), author. II. Title. 4'03—dc23 2015004647 ISBN 978-0-8047-9579-1 (electronic) Typeset by Bruce Lundquist in 10/13 Adobe Garamond THE DESIGN OF INSIGHT How to Solve Any Business Problem MIHNEA C. MOLDOVEANU AND OLIVIER LECLERC stanford briefs An Imprint of Stanford University Press Stanford, California CONTENTS Preface 1. What Is This All About? 2. The Networks Flexon 3. The Decision Agent Flexon 4.

We call these languages flexons (flexible objects for the generation of novel solutions). Model-based problem solving—the discipline our platform teaches and gives you practice with—is useful not only because it allows you to generate precise, deep, and accurate problem statements in any domain of business practice, but also because it allows you to design your problem-solving process for insight. Having five modeling languages is more than five times more valuable than having one, because business problems are unlikely to yield to insights generated from any one language alone and far more likely to yield to an adaptive tool kit of languages.

Problem-solving languages have the same lensing feature: you can see the challenge as one problem or as another, depending on which language you use. The language is what guides your gaze. 2 shows. Then you specify the problem in terms of the bottlenecks in the timely and reliable flow of accurate and relevant information about the order fulfillment process. You next consider ways in which to optimize the network to minimize bottlenecks, misunderstandings, and the flow of distorted information.

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