Description
A Department trend event tracks when a company increases or decreases staffing within a specific department. This data helps monitor employment trends, workforce restructuring, and organizational growth or downsizing.
Important: The Department Trend event tracks only recent workforce distribution changes. If no changes occurred within the last quarter (timestamp_from
should be set to the past 3 months), no data will be returned.
For a historical workforce analysis, use the Workforce Trends Enrichment API.
Use cases
- Labor Market Analysis: Identify hiring or downsizing trends within industries.
- Competitive Intelligence: Track workforce changes in competitor organizations.
- Economic Indicators: Assess how staffing changes affect regional and industry employment.
- Business Strategy: Understand how companies adjust their workforce for growth or cost-cutting measures.
Data Schema
Event Name: "increase_in_<department>"
or "decrease_in_<department>"
(Use these values in theevent_types
parameter when querying workforce change events per department. Replace <department>
with the actual department name.)
"increase_in_<department>"
or "decrease_in_<department>"
(Use these values in theevent_types
parameter when querying workforce change events per department. Replace <department>
with the actual department name.)Signal | Description | API Name | Data Type |
---|---|---|---|
QoQ change in department count | Quarter over quarter rate of change in the number of employees working at the selected department. Calculation: (current quarter headcount of department / prev. quarter headcount of department) * 100. | department_change | integer |
Event time | The timestamp indicating when the event actually occurred | event_time | datetime |
Department trend type | Type of department change type: Increase / Decrease | change_type | string |
Event name | Name of the event related to the department change. | event_name | string |
Departments Included
Event Name | Description |
---|---|
increase_in_engineering_department | Increase in engineering department workforce |
increase_in_sales_department | Increase in sales department workforce |
increase_in_marketing_department | Increase in marketing department workforce |
increase_in_operations_department | Increase in operations department workforce |
increase_in_customer_service_department | Increase in customer service department workforce |
increase_in_all_departments | Increase across all departments |
decrease_in_engineering_department | Decrease in engineering department workforce |
decrease_in_sales_department | Decrease in sales department workforce |
decrease_in_marketing_department | Decrease in marketing department workforce |
decrease_in_operations_department | Decrease in operations department workforce |
decrease_in_customer_service_department | Decrease in customer service department workforce |
decrease_in_all_departments | Decrease across all departments |
Query Example
curl -X POST \
"https://api.explorium.ai/v1/businesses/events" \
-H "API_KEY: your_api_key_here" \
-H "Content-Type: application/json" \
-d '{
"event_types": [
"increase_in_engineering_department"
],
"business_ids": [
"8adce3ca1cef0c986b22310e369a0793"
],
"timestamp_from": "2025-01-01T10:03:03.050Z"
}'
Best Practices
- Filter by department (
department
) to track workforce changes in specific fields. - Monitor change type (
change_type
) to distinguish between hiring and downsizing trends. - Use timestamps (
event_time
) to analyze trends over time.
Related Events
- Hiring (per department) - Hiring by Department
- Employee Joined Company - Announcement of a new employee joining the company