The impact of drivers on the engagement score

The impact of drivers on engagement indicates the correlation between the scores given to a driver and those given to engagement. For this calculation, the last known driver score and the last known engagement score are compared.

💡 The calculation performed is based on Pearson's coefficient, which aims to detect the presence or not of a linear relationship between two continuous quantitative variables.

It is between -1 and 1:

  • from -1 to 0 : strong negative linear relationship between x and y
  • close to zero: no linear relationship between x and y
  • from 0 to 1 : strong positive linear relationship between x and y

The drivers with a strong impact are therefore drivers that will tend to be directly linked to engagement. They can be considered as predictors of engagement because their decrease will generally be associated with a decrease in engagement, and inversely for an increase. These are therefore subjects to prioritize and/or work on because it is on these subjects that actions would have the most impact.

NB: Since it is a mathematical calculation, it is not biased. Only the votes and the way of voting are taken into account, there is nobody at Bleexo who designates that a driver is more impactful than another, all calculations are automatic.

💡 Caution: a driver with a low impact on engagement still deserves consideration, as engagement is not the only end measure to improve. This driver may have a strong impact on mood or motivation for example. Moreover, its immediate impact is weak but could have a strong impact on the life of the company in the longer term.

The impact cloud allows you to visualize how the drivers' impacts on engagement are distributed according to their score.

To understand it:

  • The drivers in the top left of the cloud are the drivers associated with a poor engagement score.
  • The drivers in the upper right corner of the cloud are the drivers associated with a good engagement score.
  • the drivers at the bottom have no particular correlation with engagement.

This graph is directly related to the strengths and weaknesses, whose calculation is partly based on the impact:

  • A good rating with a high impact is something that carries the company, and should be maintained or reinforced.
  • A poor rating with a strong impact is something that plagues the company, and should be corrected.

The color of the points allows you to quickly find out which theme the drivers are associated with. It is also possible to fly over a theme to display the drivers and their score. By clicking on it, the user can also keep it active.

Example: TheEquity driver has a score of 5.8/10. You can consider that this score is low and therefore choose to take actions to improve it. However, this driver is located in the Moderate Impact on Engagement zone, which means that this driver will not have a significant impact on the engagement of your employees. Instead, prioritize the Accuracy driver with a score of 6.8/10 which is located in the high impact zone on engagement. 

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