Gender Diversity Story Pack – Orgvue Knowledge Base

Pack description

The Gender Diversity Story Pack provides insight to analyse gender diversity and gender pay differences. Teams are flagged if the gender profile or average compensation levels exceed your specified thresholds.

Dataset requirements

To gain the expected insight, your dataset should include:

A gender property
A cost property
At least one functional, geographic, business unit or grade property

Insight provided

The pack provides insight to identify whether the organization faces gender diversity risks, or risks through differences in compensation levels. You can address questions such as:

Where in the organization are female or non-binary employees under-represented?
What is the workforce gender profile?
- At each organizational layer
- Within each leader’s full reporting line?
- Across functional departments, geographic locations, business units and grade levels
- Of each individual team?
What is the average compensation per employee across the total workforce?
What is the average compensation for female, male and non-binary employees?
Where in the organization are there gender compensation differences?
- At which organizational layer?
- In which reporting lines?
- In which functional departments, geographic locations, business units
- In which individual teams?
Are reward frameworks being applied consistently?
- Are compensation levels in line for female, male and non-binary employees at the same grade?

Illustrative content

Drill-down through the hierarchy to see key measures

Visualize a dashboard of key measures

Visualize the Organization’s Gender Landscape

Understand the gender split across Layers and Functions

Understand the individual-level detail

Template packs are provided to get your analysis started: you can change existing slides and create additional slides to customize your analysis.

How to access and configure the pack

In Workspace, select the dataset you want to use (if necessary, see Accessing Datasets and Packs).

Select ‘New pack’ then ‘Next’.

Select ‘Analyze the size, cost, composition and structure of the organization’ under “What do you want to do?”. Select the ‘Gender Diversity Story Pack. Select ‘Next’.

If dataset property mapping is complete you will have the option to select ‘Open’.
If dataset property mapping is not complete, and if you have dataset edit rights, you will have the option to select ‘Next’.

If necessary, you can change previously mapped properties. For more information, see Property Mapping in Template Packs.

When 'Next' has been selected:

Map the properties in your dataset which correspond to the Template properties. To gain the expected insight, you should select:

A Gender Property.
A Compensation property
The functional, geographic, business unit and grade properties used for subgroup reporting. You do not need to map all four of these 'dimensions'. The recommended actions for unmapped properties are outlined at the end of this guide.

Select ‘Open’.

When the pack opens, you will be prompted to complete the Pack Configuration.

Specify the dataset values which correspond to Male, Female and Non-Binary.
1. Select the arrow shown below
2. Drag and drop your dataset values to the appropriate Pack Gender Category

NOTE: Any values which are not dragged to a category will be excluded from the analysis.

The two images below shows this page before and after actions a and b have been completed:

Select the Optional tab to customise:

‘Layers below Managers for Aggregated reporting.’ The number of organizational layers required below a manager for rolled-up size and cost values to be calculated.
‘Diversity Flag’: The percentage point threshold below which teams will be flagged as under-representative. For example, with this value set to 45, any team with less than 45% female or male team members will be flagged.
The ‘Currency Symbol’ applied to compensation data.
Executive Level: The lowest layer in the structure at which positions are considered to be ‘Executive’.
‘Compensation Gap Flag’: The percentage point variation from average below which Female or Male compensation differences are flagged.

You can skip this optional step and open the pack with default categories by selecting ‘OK’. You also have the option of completing or changing the Pack Configuration after you have opened the pack (see Configure template pack content).

If there are properties which have not been mapped, we recommend the following actions which can be taken when the pack is open:

Removing the standard slides relating to these properties (see Remove slides you don’t need).
Removing these properties from cards (see Remove properties from cards).
Removing the unmapped properties from slide paging options (see Specify which properties are used for Paging).