AI powered Decision Matrix Tool

A Decision Matrix, also known as a Priority Matrix or Pugh Matrix, more... is an effective tool used in decision-making processes to evaluate and prioritize a list of alternatives or options. This technique involves setting up a matrix to compare choices based on several weighted criteria, which are considered important to the decision at hand. It helps in objectively determining the best option through a systematic and visual approach. A Decision Matrix is particularly useful in business, project management, and personal decision-making scenarios where multiple factors need to be considered and compared. By providing a clear framework for comparison, it simplifies complex decisions and leads to more informed and confident choices. Read more on Wikipedia

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💭 Adjust the parameters and values according to your own preferences and subjective opinion

Set the parameters and their importance to you (1-5).
And then add the variants and their scores in your subjective opinion (1-5).

Or select from pre-defined templates: {{temp.title}} [ delete ], [ save as new locally ]

	Variant \ Param	{{param.name}}		Rank

	Parameter importance
	{{variant.name}}			{{calcs[$index]}}

Summing or Multiply?

Normalize

The weighted Decision Matrix is versatile and can be used in various contexts. In business, it assists in strategic planning and resource allocation by comparing potential projects or investments based on factors like cost, ROI, and impact. For product development, it can prioritize features or design changes based on customer needs, feasibility, and market trends. In personal decision-making, such as choosing a college or career path, it evaluates options based on personal values, cost, and future opportunities. In project management, it aids in assessing risk by comparing potential issues based on likelihood and impact. The matrix's flexibility allows users to tailor the criteria and weights according to specific needs, making it a powerful tool for making thoughtful, data-driven decisions in various scenarios.

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