Regression analysis

Achieving a positive change in customer satisfaction is quite a challenge. That is why it is essential to know what priorities to set, in other words, what levers to pull to achieve maximum results. After all, not all aspects of your service have the same impact on satisfaction. Regression analysis can be used to determine the most important factors.
Once you know the satisfaction levels for all aspects of your service, the logical next question is: what should I improve first?

Using linear regression analysis, we map out the correlation between the various aspects (independent variables) and overall satisfaction (dependent variable). This means you don't have to ask about the importance of the various aspects. Regression analysis determines what the customer really finds important and where the focus for improving the service should lie. This not only provides a picture of satisfaction with the aspect, but also of its importance.

PAD analysis

To deepen a regression analysis, a PAD analysis can be performed. Satisfaction is related to many different aspects, and these aspects also influence each other. For example, the concept of "job content" can directly influence overall satisfaction, but "employee participation" in turn influences job content. In this way, employee participation influences overall satisfaction without this being directly visible. A PAD analysis reveals the direct and indirect effects on overall satisfaction. This provides insight into which levers need to be pulled.

Example results of PAD analysis

Market impact example PAD Markteffect