By Matthew Kutz
This publication bargains a dependent framework for severe pondering and determination making that indicates tips to use hindsight, perception, and foresight to navigate via complexity.
Every association and each individual faces speedy swap and complexity. Contextual intelligence – knowing totally the context during which one is working – teaches the reader find out how to navigate that complexity and reply competently within the face of switch (expected and unexpected).
The third-dimensional (3D) considering™ framework is helping constitution serious considering by means of displaying how you can effectively carry earlier event, current instinct, and destiny ambiguity– in different phrases: hindsight, perception, and foresight – to endure on any given problem.
Kutz bargains how to rationally set up tough options comparable to complexity, tacit wisdom, and synchronicity into usable and comprehensible language, yet extra importantly teaches the reader find out how to practice those suggestions in a really sensible and significant approach with measurable and tangible outcomes.
The booklet additionally describes intimately 12 behaviors linked to contextual intelligence. 4 behaviors are linked to hindsight, 4 behaviors are linked to perception, and 4 behaviors are linked to foresight. The e-book takes the reader in the course of the 12 behaviors and the way they relate to 3D pondering.
Cases and anecdotes are used generously to supply examples. Chapters are through serious considering questions and questions with regards to the instances within the chapters. in addition, questions and sensible instruments are brought that support the reader investigate and verify their point of contextual intelligence.
Read or Download Contextual Intelligence: How Thinking in 3D Can Help Resolve Complexity, Uncertainty and Ambiguity PDF
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Extra info for Contextual Intelligence: How Thinking in 3D Can Help Resolve Complexity, Uncertainty and Ambiguity
Contextual Intelligence: How Thinking in 3D Can Help Resolve Complexity, Uncertainty and Ambiguity by Matthew Kutz