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Structuring a Competitive Analysis: Decision Trees, Decision Forests, and Payoff Matrices
Hild, Matthias Technical Note QA-0674 / Published January 16, 2006 Collection: Darden School of Business
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Decision trees can be helpful in analyzing the key drivers of profitability and in designing risk-mitigation strategies. When analyzing competitive situations, each player's viewpoint can be represented by a separate decision tree, creating a "decision forest." In some situations, it is also useful to summarize two players' decision trees in a single payoff matrix. This note introduces those concepts step by step.




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  • Overview

    Decision trees can be helpful in analyzing the key drivers of profitability and in designing risk-mitigation strategies. When analyzing competitive situations, each player's viewpoint can be represented by a separate decision tree, creating a "decision forest." In some situations, it is also useful to summarize two players' decision trees in a single payoff matrix. This note introduces those concepts step by step.

  • Learning Objectives