Innovative Decision-Making Techniques

This book provides a blend of quantitative and qualitative approaches to decision making, while   also bridging the gap between the theory of how to make good decisions versus how people actually make decisions.  The authors present the tools and techniques of decision analysis to learn how to become a FOCCUSSED decision maker: 

• Identify and properly F rame the decision or problem at hand
• Specify the goals, O bjectives, and values that you are trying to achieve
• Develop creative, meaningful C hoices from among which you can choose
• Evaluate the C onsequences of selecting each alternative using your goals, objectives, and values
• Think about the key U ncertainties that could impact the decision
• Understand the S waps and trade-offs that you are willing to make
• Develop an approach for implementing your S olution
• E licit the data you’ll need from a variety of sources
• and D isseminate and communicate your decisions to others.  

The authors define a decision as the choice among alternatives, based on how we value and trade-off their pros and cons, made in the face of uncertainty about what will actually happen. The decision-making process is presented as having three pillars to support the decision maker:  Preferences –what we prefer, what meets our goals and objectives, and the recognition that preferences are personal to the one making the decision; A lternatives –the choices, options, or courses of action that we have, and over which we have some degree of control; and I nformation –what we know about the situation, what we don’t know, how we connect choices to outcomes, and how we deal with uncertainty.  Key components of good decision-making include how to define your goals and objectives, how to incorporate uncertainties that we all face, and how to develop better alternatives, all of which are discussed.  Sophisticated techniques are presented in a way that is accessible to the average decision maker. Probability theory is utilized to improve decisions, and uncertainties are captured in decision trees.  Risk avoidance, risk transfer, and risk mitigation are also discussed.  Readers will gain a clear understanding of how to articulate the goals and objectives that should be the focal point of any decision.