Systems and methods are disclosed to assist in making decisions. The systems and methods consider situations where the user is determining which of several alternatives is the best choice. The criteria to evaluate the decisions are input into a grid, and the user rates the different alternatives against the different criteria. Given several alternative choices or options, it provides the probability each alternative is the right selection. In one embodiment, the system implements a Bayesian approach. The systems and methods may estimate the chance some important consideration was missed thereby reducing the chance of being surprised or blindsided. The system and method may also examine the inputs to a decision analysis in order to detect entries that might reflect bias, assumptions or unusual reasoning, thereby increasing the chance of obtaining the correct answer. The systems and methods may also identify the factors that were predictive. The systems and methods do not accept information as valid and correct; rather, they allow cross-checking and verification, and further employ sub-systems and sub-methods to reduce mistakes. Systems and methods so disclosed may be employed in financial analyses, intelligence analysis, etc.