Decision Space Modeling
"Expand your possibilities and avoid the limitations of narrow perspectives."
Effective decision-making requires an open mind and the willingness to explore a wide range of possibilities before reaching a final decision. When faced with complex decision-making scenarios, we often consider only familiar choices and overlook many good alternatives. This limited perspective can hinder our ability to make optimal decisions.
Decision space modeling aims to overcome this challenge by creating a representation that allows for the implicit generation of all viable decision choices within a given scenario. By leveraging problem domain knowledge, decision space modeling facilitates the comprehensive exploration of decision options. This approach simplifies the comparison of choices and enhances the search for the best possible decision. It encourages decision-makers to broaden their perspectives and embrace a more creative approach to decision-making.
Did I model my Decision Space properly?
The process of generating choices begins with a group brainstorming session where all potential choices are listed without evaluating their feasibility or quality. The next step involves filtering out viable choices that will be further considered in the decision-making process. These steps require a formal and structured representation of the decision space, based on knowledge and information about the problem.
The decision space representation is considered proper if:
Any choice generated from the representation is a viable decision choice.
It allows for the comprehensive generation of all viable choices.
All generated choices can be assessed using the measures defined during decision-problem framing
DAO Decision Space Modeler
For straightforward decision-making scenarios, a simple list of choices captured during a brainstorming session may suffice. However, for complex scenarios, decisions are composed of primitive decision choice elements using formally defined composition rules.
DAO Decision Space Modeler is an intelligent software application that collaborates with the decision analysis project team to determine the appropriate set of decision choice elements and choice composition rules. It facilitates the description of the decision space and ensures its accuracy and effectiveness.
The process of decision space description is often iterative, requiring periodic review and refinement as new information becomes available or gaps are identified through analysis. Investing time upfront to describe the decision space accurately yields significant benefits, simplifying the evaluation of choices and ensuring superior decision outcomes are not overlooked.
Salient features of the DAO Decision Space Modeler include:
Decision Choice Element's Repository Builder
Decision Choice Elements Relationships Graph Builder & Analyzer
Choice Composition Rules Builder
Generative decisions at multiple levels of granularity of decision choice elements
Collaborative brainstorming over decision space representation
With the DAO Decision Space Modeler as your companion, you can embark on your decision-making projects with confidence, knowing you have established a strong foundation for exploring and evaluating choices.