# Key Driver Analysis

If your group has at least **30 or more survey respondents**, you can access key driver analysis within the **snapshot report**.  

This report provides some of the most important information for understanding your survey results.  The most effective, impactful and successful post-survey efforts are focused efforts.  It is best to identify a short list of issues to focus on over the ensuing months.  If valuable time, money and other resources are spread across too many initiatives, the risk is not making much progress on any one issue.  The key driver analysis helps to identify which issues will have the most impact on engagement.

The following chart is an example of a key driver analysis:

<figure><img src="https://3460972379-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FjFyxVkNSUDbJcdcsPyTF%2Fuploads%2FCNO1VpTl96L0yz2A4XST%2Fkey%20driver%20example.png?alt=media&#x26;token=467e2c69-3bfd-4e52-87b9-cfbbbb9f8388" alt=""><figcaption></figcaption></figure>

The key driver analysis displays the strongest drivers of an outcome (i.e. engagement or retention) to help you understand which organizational dynamics have the most impact on making employees feel connected to the organization, or can also identify the dimensions that have the strongest impact on employees thinking of staying or leaving the organization.

The key driver analysis uses a statistical technique known as correlation analysis and displays the correlations in a table. This is the first step in deciding which dimensions should be prioritized for action.  Dimensions with the highest correlations will provide the biggest “bang for the buck” for increasing engagement.  As a general rule, correlations of .60 or higher are considered very strong.  Correlations between .40 and .60 are still strong, but not as impactful as those correlating .60 or higher.  Correlations below .40 are considered relatively weak.

<figure><img src="https://3460972379-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FjFyxVkNSUDbJcdcsPyTF%2Fuploads%2FgwBxDEwWAWHfcwnbkD4B%2Fcorrelation.png?alt=media&#x26;token=9ea056df-f09f-4e91-a989-149c391579ab" alt=""><figcaption></figcaption></figure>

Once the strongest drivers are identified, the next step is to consider the overall percent favourable score, whether the score is declining since the last survey and how the score compares to the benchmark. Strong drivers that have low favourable scores, are declining and/or are below the benchmark should be prioritized for action.


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