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Prioritymatrix

Once overall satisfaction and satisfaction with various important aspects within your organization have been measured, regression analysis can be used to identify which aspects are important for satisfaction. By combining the importance of these aspects with satisfaction with these aspects, a priority matrix can be used to instantly identify which priorities you need to set. 
A priority matrix is therefore very similar to an image matrix, but serves a different purpose.

Your organization has set SMART goals. You indicate what you want to achieve and guide the behavior of your employees or managers.
By conducting a satisfaction survey among your customers or employees, you can map out the satisfaction with all aspects of your service or work process. A logical follow-up question is: "And what should I improve first?" Using regression analysis, we map the relationship between the various aspects and overall satisfaction. This not only provides a picture of satisfaction with the aspect, but also of its importance. This can be visualized in a priority matrix.

A priority matrix shows the extent to which the assessments of the various aspects correlate with overall satisfaction. By combining this with the satisfaction score for the relevant aspects, we can divide the various aspects into four quadrants. From this, we can determine which aspects have the highest priority for improvement.

The four quadrants of the priority matrix:

low graph

Lower priority: relatively low satisfaction combined with relatively low importance.

up and down

Retention: relatively high satisfaction combined with relatively low importance.

up-down-1

Address: relatively low satisfaction combined with relatively high importance.

high-graph

Utilization: relatively high satisfaction combined with relatively high importance.

Example of a priority matrix:

Markteffect impact example - Priority matrix

See also

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