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All you need to know about drivers importance

This guide goes in-depth with the calculations and methodology for assessing a drivers importance for a group of people.

Updated over a month ago

We don’t want you to spend a lot of time analyzing the ups and downs in driver scores to determine where to focus after each measurement. Also, the answer is not necessarily to focus on the driver with the lowest score. Why?

Because to each of us as individuals, some drivers are more important for our well-being than others. Therefore our recommendation tool serves as a way to identify the lowest-hanging fruits in terms of improving well-being in the team.

We find out each of the driver’s importance via our algorithm based on the control question number 11: “Overall, how satisfied are you with your job?”.

Here is an example

One measurement, Sara scores high on Social and also high on her overall job satisfaction.

Then next measurement, something happened in the workplace that influenced her social relationships negatively so she scored low on Social and also on her overall satisfaction.

This informs the algorithm that to Sara, Social is important, because it has an impact on her overall satisfaction. Also, if Sara scores low on Development without it impacting her overall satisfaction, the algorithm then know that Development is not as important to her well-being as Social.

This is what we call driver’s importance.

So, over time the algorithm gathers all of this data from all employees in the segment to understand the driver’s importance. However, when recommending you to focus on a specific driver, it still takes into account how much the score can be improved.

So, when hovering over a driver in the Zoios Platform, you will see these dots:

So, when hovering over a driver in the Zoios Platform, you will see these dots:

Let’s break it down.

Driver's importance measures how important a specific driver is for the employees in a given segment, e.g., the marketing team. An employee's perceived well-being is constituted of the eight well-being drivers, but naturally, some drivers are more important than others, and this varies from team to team. Hence, we are looking to improve the well-being driver(s) that are most important to the employees in the given team, as this will have the most significant positive impact on overall perceived well-being.

Looking at the above illustration, Optimism has a Driver's importance score of 2. But what does this mean?

To give you an accessible overview of the importance of the drivers, we turned the math and the numbers behind the calculations into four dots. Behind the dots are the following numbers ranging from 1-100.

  • 0-10 = 0 dots

  • 11-30= 1 dot

  • 31-45 = 2 dots

  • 46-60 = 3 dots

  • 61+ = 4 dots

To give you an example of what these numbers mean; think about this: A score of 67 means that increasing the score for this driver by 10 will very likely increase the overall well-being score by no less than 6,7. This indicates a strong relationship between the specific driver and the overall well-being of this team.

Room for improvement

Room for improvement measures how hard or how easy it is to improve a driver's score. The higher a given segment (e.g., marketing team) scores on a driver today, the harder it is to improve the score and vice-versa. Thus, when a segment of employees scores 90, or above, it is considered great and not something one can expect to affect and improve further. So, bear this in mind when deciding which driver you want to work with. The more dots a driver has in "room for improvement", the easier / less complicated it is to improve the driver.

Potential is a weighted average of the two scores mentioned above. Use this score as your main indicator to understand which driver is most meaningful to focus on and work with. The more dots, the bigger the potential.

Statistically significant is a measure of how likely it is that potential is correctly estimated. In other words, how likely is it that there is a strong relationship between the specific driver and overall well-being?

In the illustration above, it says Statistically significant which simply means that the relationship is to be trusted. In the first few months of data collection, or if you create new segments, you might experience some drivers that will say "not statistically significant". This means that it's not sure that there is a strong relationship between the driver and overall well-being.

Because it takes all these things into account, you may experience that it recommends you to focus on drivers that are not the ones with the lowest scores.

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