This paper examines paired comparison analysis as a practical decision-making technique used in workplace settings. It explains how decision-makers use a grid-based method to compare options against one another, assign importance scores, and convert results into percentages to identify the best course of action. A business example involving market expansion strategies illustrates the technique in practice. The paper also discusses when paired comparison analysis is most appropriate — particularly when objective quantitative data are unavailable or when competing priorities make ranking difficult — and briefly situates it alongside other tools such as grid analysis and cost-benefit analysis.
The paper demonstrates procedural exposition — explaining not just what a technique is, but how to apply it in sequence. By moving from definition, to steps, to worked example, to contextual guidance, it builds reader understanding progressively. Citations to Saaty (1990) and Carlsson and Walden (1995) anchor the technique in established decision-science literature.
The paper opens with a brief survey of decision-making tools before narrowing its focus to paired comparison analysis. It then defines the technique, presents a numbered procedure, illustrates the procedure with a four-option business example including a completed comparison grid, and closes with practical guidance on when the technique is and is not appropriate. This funnel structure — broad to specific to applied — is well suited to instructional writing.
There are several decision-making tools and techniques that help people in the workplace make the best decisions possible with the information available. Using techniques such as grid analysis, paired comparison analysis, and cost-benefit analysis, a company can identify the likely consequences of decisions and understand the relative importance of several variables, allowing it to select the best course of action (Carlsson and Walden, 1995).
Paired comparison analysis is a widely used technique for decision-making in the workplace. In this approach, decision-makers weigh the importance of a number of options and compare them relative to each other. This technique is particularly useful when a company does not have accurate, objective measures of costs and benefits. In such circumstances, paired comparison analysis can be a more practical and reliable decision-making tool.
The core idea is either to identify the most important problem to solve or to select the solution that will provide the greatest advantage to the company. Paired comparison analysis helps a workplace set priorities when there are conflicting demands on available resources (Saaty, 1990).
To apply this technique, decision-makers first list all of the options, then draw a grid with each option as both a row and a column header. They use this grid to compare each option with every other option, one pair at a time. For each comparison, they identify the better option and assign a score indicating how much more important it is. Finally, they add up the scores and convert them into percentages so that each option is assigned a relative importance value.
More specifically, a decision-maker follows these steps:
As a simple example, consider a business exploring several ways to expand its market share. It identifies the following options:
The manager first draws up an empty paired comparison table (Figure 1), with each option listed as both a row and a column header. Cells where an option would be compared with itself, and cells that would duplicate an earlier comparison, are crossed out.
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