Paired Comparison Analysis

Working Out Relative Importances

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When you're choosing between many different options, how do you decide on the best way forward?

This is especially challenging if your choices are quite different from one another, if decision criteria are subjective, or if you don't have objective data to use for your decision.

Paired Comparison Analysis helps you to work out the relative importance of a number of different options - the classical case of "comparing apples with oranges."

In this article, we'll explore how you can use Paired Comparison Analysis to make decisions.

About the Tool

Paired Comparison Analysis (also known as Pairwise Comparison) helps you work out the importance of a number of options relative to one another.

This makes it easy to choose the most important problem to solve, or to pick the solution that will be most effective. It also helps you set priorities where there are conflicting demands on your resources.

The tool is particularly useful when you don't have objective data to use to make your decision. It's also an ideal tool to use to compare different, subjective options, for example, where you need to decide the relative importance of qualifications, skills, experience, and teamworking ability when hiring people for a new role.

Decisions like these are often much harder to make than, for example, comparing three similar IT systems, where Grid Analysis or some form of financial analysis can help you decide.

How to Use the Tool

To use the technique, download our free worksheet, and then follow these six steps:

1. Make a list of all of the options that you want to compare. Assign each option a letter (A, B, C, D, and so on) and note this down.
2. Mark your options as both the row and column headings on the worksheet. This is so that you can compare options with one-another.

3. Within each of the blank cells, compare the option in the row with the option in the column. Decide which of the two options is most important.
4. Write down the letter of the most important option in the cell. Then, score the difference in importance between the options, running from zero (no difference/same importance) to, say, three (major difference/one much more important than the other.)
5. Finally, consolidate the results by adding up the values for each of the options. You may want to convert these values into a percentage of the total score.
6. Use your common sense, and manually adjust the results if necessary.

Example

For example, a philanthropist is choosing between several different nonprofit organizations that are asking for funding. To maximize impact, she only wants to contribute to a few of these, and she has the following options:

• An overseas development project.
• A local educational project.
• A bequest for her university.
• Disaster relief.

First, she draws up the Paired Comparison Analysis table in Figure 1.

Figure 1 – Example Paired Comparison Analysis Table (not filled in):

	A: Overseas Development	B: Local Educational	C: University	D: Disaster Relief
A: Overseas Development
B: Local Educational
C: University
D: Disaster Relief

Then she compares options, writes down the letter of the most important option, and scores their difference in importance to her. Figure 2 illustrates this step of the process.

Figure 2 – Example Paired Comparison Analysis Table (filled in):

	A: Overseas Development	B: Local Educational	C: University	D: Disaster Relief
A: Overseas Development		A, 2	C, 1	A, 1
B: Local Educational			C, 1	B, 1
C: University				C, 2
D: Disaster Relief

Finally, she adds up the A, B, C, and D values and converts each into a percentage of the total. These calculations yield the following totals:

• A = 3 (37.5 percent).
• B = 1 (12.5 percent).
• C = 4 (50 percent).
• D = 0.

Here, she decides to make a bequest to her university (C) and to allocate some funding to overseas development (A).

To learn more about how to use Paired Comparison Analysis, take our Bite-Sized Training session on How to Avoid Decision-Making Paralysis.

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