What is a decision matrix?
A decision matrix is a tool for choosing between options by scoring each one against a shared set of weighted criteria, then comparing totals. Its job is picking an option, not recording one: it belongs to the moment before a decision, while a decision log or decision record captures what happened after.
What goes into a decision matrix?
Rows are the options under consideration; columns are the criteria that matter for the choice, each given a weight reflecting its importance. Every option gets a score per criterion, usually on a simple scale like 1 to 5, and the weighted scores sum to a total per option. The highest total is not an automatic answer, it is a structured argument: it forces the criteria and their relative importance into the open before anyone argues for a favorite.
How is a decision matrix different from a decision log or decision record?
A decision matrix is an analysis method used to reach a decision. A decision log or decision record is the durable artifact of the decision once it is made. They are not competing tools, they are sequential: a team might build a matrix to compare three vendors, then write the resulting choice, the reasoning, and who stood where into a decision record. Skipping the record is the common failure, since the matrix itself is usually thrown away once the meeting ends, taking the reasoning with it.
When is a decision matrix worth the effort?
It earns its overhead when a decision has several viable options, several criteria that genuinely trade off against each other (cost against quality, speed against risk), and stakeholders who disagree about which criteria matter most. For a decision with an obvious best option or only one real criterion, a matrix is overhead without benefit. It pairs naturally with a role framework like DACI: the Driver runs the matrix exercise to gather Contributor input, and the Approver still makes the final call, since a matrix informs a decision, it does not make one on its own.
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