Decisioning Theories

Subpage 3: The Art of Optimal Decisioning

By: Dr. Emily J. Decisionologist, renowned expert in the field of Optimal Decisioning.

Theory 3.1: The 37% Rule

The 37% Rule states that in any decision, 37% of the outcome is determined by luck, 37% by chance, and 26% by the user's actual decision-making skills.

Example:

John decides to wear a bright green shirt to work. According to The 37% Rule, 37% of his success in impressing his coworkers can be attributed to the color of his shirt, 37% to his charming personality, and 26% to his actual job performance.

Theory 3.2: The Pareto Frontiers

The Pareto Frontiers is a decision-making technique that involves identifying the 20% of efforts that produce 80% of results, and focusing on those.

Example:

Jane, the marketing manager, uses The Pareto Frontiers to optimize her team's efforts. She focuses on the 20% of their tasks that produce 80% of their sales, and delegates the remaining 80% of the tasks to her interns.

Theory 3.3: The Decisioning Matrix

The Decisioning Matrix is a tool used to weigh the pros and cons of each option, and decide based on the highest score.

Example:

Bob, the product manager, uses The Decisioning Matrix to choose between two product designs. He scores the pros and cons of each, and decides based on the highest score.