
Compare two options at a time.
© iStockphoto/eli_asenova
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.
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.
To use the technique, download our free worksheet, and then follow these six steps:
Note:
On the table, the cells where you will compare an option with itself are blocked out. The cells on the table where you would be duplicating a comparison are also blocked out. This ensures that you make each comparison only once.
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:
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:
Here, she decides to make a bequest to her university (C) and to allocate some funding to overseas development (A).
Paired Comparison Analysis is useful for weighing up the relative importance of different options. It's particularly helpful where priorities aren't clear, where the options are completely different, where evaluation criteria are subjective, or where they're competing in importance.
The tool provides a framework for comparing each option against all others, and helps to show the difference in importance between factors.
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