In-depth intersectional analyses
that go beyond simple salary comparisons
Understand the interaction of the various relevant factors
Traditional HR analyses often focus on simple correlations, such as: Experience is relevant for pay. However, the reality, as research in this field shows, is far more complex because many factors act simultaneously.
This complexity can only be revealed through intersectional analysis. All relevant factors and their interrelationships are considered simultaneously.
This is addressed with our scientific AI. It shows you how the various characteristics in your data interact and which factors are relevant for possible unequal treatment in terms of pay, career opportunities, working hours or further training and to what extent.
This allows you to discover and identify structural causes, i.e. those that lie within the HR structure.
With these insights, you can develop targeted and effective strategies to create and operate a socially sustainable, fair and inclusive work environment.
Go beyond superficial metrics and create lasting change, supported by results that tell the whole story.
Fields of action and their interaction
Scientific AI analyzes the interactions of various factors in the working environment in order to identify and address unequal treatment in different areas.
Pay
In the salary field of action, your employees' remuneration is analyzed with regard to possible unequal treatment (pay gaps). You receive detailed evaluations of the relevant causes of the pay gap. These can be caused by various diversity dimensions or by the other fields of action. Data-based options for action are also issued.
Working time
The working time field of action provides you with information about possible gaps in the working hours of different groups of employees. An unequal distribution of working hours almost always goes hand in hand with unequal opportunities for promotion or further training. In this field of action, working time gaps are presented and their causes identified.
Career
The career action area analyzes which factors in your company influence the career development of your employees. Some groups may be more advantaged than others. The career gap is uncovered in this field of action and ways in which you can reduce it are shown.
Training
Continuing professional development is also a driver for career opportunities, but is also closely linked to pay and working hours. Possible gaps in in-company training and their causes are uncovered in the field of training. You will also be given concrete options for action on how these gaps can be addressed.
Diversity Dimensions
By taking 4 diversity dimensions into account at the same time, the AI opens up a comprehensive analysis of possible unequal treatment for all groups of employees.
Gender
Age
Origin
Disability