Purpose of the application
The application guides the client through the full gender pay gap reporting workflow: from uploading employee data, setting analysis parameters and classifying positions into pay grades, to the automatic calculation of both adjusted and unadjusted pay gaps and generation of the legally required report.
The key output is the adjusted gender pay gap — the part of the difference that the model cannot explain by structural factors such as education, experience, position or seniority, and which may therefore indicate potential discrimination.
Accessing the application
The application is opened from the left-hand menu of the Greenometer platform by clicking on Paygap Hub. The main screen is called Equal Pay Analyzer and contains a welcome panel and a workflow guide.
Equal pay analysis guide
The workflow is divided into three steps shown as horizontal cards at the top of the screen:
Step | Name | Description |
STEP 1 | Data upload and configuration | Template, employee data import, analysis parameters |
STEP 2 | Work group modelling | Work group estimator according to Section 110 of the Labour Code |
STEP 3 | Run analysis | Calculation and report generation |
Step 2, Work group modelling, is conditional. If the client already has its own grading prepared in the employee data, using the Level 1 / 2 / 3 columns, this step can be skipped. If the client does not have grading, the estimator is used.
The Restart analysis button in the top-right corner allows the user to start again with a clean state.
Main expandable sections
Below the guide, there are seven expandable sections. Each has its own wiki article:
Input data — working with the template, upload, data management and parameters. See Employee data management and Analysis parameters.
Work group modelling — point-based evaluation of positions. See Work group estimator.
Simple overview and reports — summary result for management. See Simple overview.
Detailed overview — quartiles, distribution and costs. See Detailed overview.
Expert analysis — regression charts and decomposition. See Expert analysis.
Raw data — internal English column names used by the regression. Described in Expert analysis.
Main action buttons in the Input data section
In the Input data section, there is a row of buttons above the information panel:
Download template — an empty template with predefined columns, in Excel or CSV format.
Upload data — imports the completed template.
Manage data — opens the Employee data management modal window.
Analysis parameters — opens the panel with reference year, currency, age format and regression parameters, including the option to choose from six predefined variants of regression adjustment.
Run analysis — the primary dark button that starts the calculation.
Below the buttons, there is an information bar called Data source: “Database, loaded via Employee data management. The analysis will use the data currently stored in the database. Any changes made in the panel will only be used if they have been submitted to the database.”
This is a key warning: changes made in Employee data management must be explicitly saved using Update database. Otherwise, they will not be reflected in the analysis.
Recommended procedure
The standard sequence for a client starting from zero is:
Download the template, fill it in with the company’s own data and upload it back.
Check the data in Manage data — review the table column by column, fill in missing values and correct anomalies.
Set Analysis parameters — reference year, currency and, most importantly, select the regression parameter variant according to which attributes are actually completed in the data.
If the client does not have its own grading, go through the Work group estimator — define criterion weights, optionally upload a position catalogue from the group, evaluate individual positions and write the resulting grades into the dataset.
Run the analysis and evaluate the Simple overview, or go deeper into the Detailed overview and Expert analysis.
Iterate — if problematic grades are identified in the Expert analysis, return to Manage data, correct the data and recalculate. See Expert analysis for a detailed description of the iterative workflow.
Generate the legally required report.
E-mail confirmation of each calculation
After each analysis run, the user receives a summary e-mail with all calculation results.
This ensures that every run is logged and auditable. Information about the results, parameters used and employees included in the analysis is available to all recipients in one place, without the need to log in to the application.
This mechanism is key for maintaining an audit trail during subsequent reviews or inspections.