Employee Breakdown and Growth
Departmental composition, headcount distribution, and growth patterns via the Signal Database.
Pre-computed signals available via the Signal Database for bulk data access.
Signal Type: departmental-growth-trends
Why This Insight Matters
- Reveals company priorities through departmental investment and growth patterns
- Identifies expansion focus areas by highlighting which teams are growing fastest
- Shows organizational shifts through declining departments vs. accelerating ones
- Provides context for solutions by revealing where the company is allocating resources
- Creates natural conversation starters based on observable business trends
Available Subtypes
| Signal | Subtype Enum | Description |
|---|---|---|
| Multi-Department Rapid Growth | multiDepartmentRapidGrowth | 3+ departments growing ≥5% YoY simultaneously |
| Departmental Reallocation | departmentalReallocation | Resources shifting from declining to growing departments |
| Normalized Growth Signal | normalizedGrowthSignal | Overall company growth contextualized by size category |
| Sales Growth | departmentalGrowthSales | Sales department headcount and growth trends |
| Engineering Growth | departmentalGrowthEngineering | Engineering department headcount and growth trends |
| Marketing Growth | departmentalGrowthMarketing | Marketing department headcount and growth trends |
| Operations Growth | departmentalGrowthOperations | Operations department headcount and growth trends |
| Finance Growth | departmentalGrowthFinance | Finance department headcount and growth trends |
| IT Growth | departmentalGrowthInformationTechnology | IT department headcount and growth trends |
| HR Growth | departmentalGrowthHumanResources | HR department headcount and growth trends |
| Business Dev Growth | departmentalGrowthBusinessDevelopment | Business Development headcount and growth trends |
| Customer Success Growth | departmentalGrowthCustomerSuccessAndSupport | Customer Success headcount and growth trends |
| Product Management Growth | departmentalGrowthProductManagement | Product Management headcount and growth trends |
| Research Growth | departmentalGrowthResearch | Research department headcount and growth trends |
| Accounting Growth | departmentalGrowthAccounting | Accounting department headcount and growth trends |
| Administrative Growth | departmentalGrowthAdministrative | Administrative headcount and growth trends |
| Legal Growth | departmentalGrowthLegal | Legal department headcount and growth trends |
| Consulting Growth | departmentalGrowthConsulting | Consulting department headcount and growth trends |
| Education Growth | departmentalGrowthEducation | Education department headcount and growth trends |
| Media & Comm Growth | departmentalGrowthMediaAndCommunication | Media & Communication headcount and growth trends |
| Program Management Growth | departmentalGrowthProgramAndProjectManagement | Program Management headcount and growth trends |
| Healthcare Services Growth | departmentalGrowthHealthcareServices | Healthcare Services headcount and growth trends |
| Arts & Design Growth | departmentalGrowthArtsAndDesign | Arts & Design headcount and growth trends |
| QA Growth | departmentalGrowthQualityAssurance | Quality Assurance headcount and growth trends |
| Real Estate Growth | departmentalGrowthRealEstate | Real Estate department headcount and growth trends |
| Purchasing Growth | departmentalGrowthPurchasing | Purchasing department headcount and growth trends |
| Entrepreneurship Growth | departmentalGrowthEntrepreneurship | Entrepreneurship headcount and growth trends |
| Military Services Growth | departmentalGrowthMilitaryAndProtectiveServices | Military & Protective Services headcount and growth |
| Community Services Growth | departmentalGrowthCommunityAndSocialServices | Community & Social Services headcount and growth |
Schema
Base Signal Structure
| Field | Type | Description |
|---|---|---|
signal_id | string | Unique identifier for the signal |
batch_id | string | Groups signals generated from the same company in the same batch |
signal_type | string | Always departmental-growth-trends |
signal_subtype | string | Specific signal subtype (see table above) |
detected_at | string | ISO 8601 timestamp when signal was generated |
association | string | Always company |
Company Object
| Field | Type | Description |
|---|---|---|
company.name | string | Company name |
company.domain | string | Company website domain |
company.linkedin_url | string | LinkedIn company page URL |
company.industries | string | Primary industry |
company.employee_count_low | integer | Low end of employee count range |
company.employee_count_high | integer | High end of employee count range |
company.description | string | Company description (truncated) |
Data Object (Common Fields)
These fields are present on all subtypes:
| Field | Type | Description |
|---|---|---|
data.summary | string | One-line signal summary |
data.description | string | Detailed signal description |
data.relevance_score | number | 0.0-1.0 relevance score for filtering |
data.overall_growth.1yr | number | 1-year overall headcount growth % |
data.overall_growth.6mth | number | 6-month overall headcount growth % |
data.overall_growth.2yr | number | 2-year overall headcount growth % |
data.company_size_category | string | small, medium, large, or enterprise |
data.growth_category | string | slow, steady, rapid, or aggressive |
data.revenue_range_low | integer | Low end of revenue range (USD) |
data.revenue_range_high | integer | High end of revenue range (USD) |
data.total_headcount | integer | Total employee count |
data.decision_makers_count | integer | Count of decision makers |
data.median_tenure | number | Median employee tenure (years) |
data.source_timestamp | string | Original data source timestamp |
data.departments_metadata | object | Headcount and growth for all 26 departments (see below) |
departments_metadata Structure
The departments_metadata object contains headcount and 1-year growth data for all 26 tracked departments. Each department key maps to an object with headcount (integer) and growth_1yr (number, percentage).
Departments tracked: accounting, administrative, arts_and_design, business_development, community_and_social_services, consulting, customer_success, education, engineering, entrepreneurship, finance, healthcare_services, human_resources, information_technology, legal, marketing, media_and_communication, military_and_protective_services, operations, product_management, program_management, purchasing, quality_assurance, real_estate, research, sales
Subtype-Specific Fields
multiDepartmentRapidGrowth
| Field | Type | Description |
|---|---|---|
data.departments_growing | array | Top 10 growing departments with headcount and growth |
data.departments_growing_count | integer | Total count of departments growing ≥5% |
data.growth_threshold | number | Growth threshold used (5.0%) |
data.fastest_growing_department | string | Name of fastest growing department |
data.fastest_growth_rate | number | Growth rate of fastest growing department |
departmentalReallocation
| Field | Type | Description |
|---|---|---|
data.departments_growing | array | Growing departments with headcount changes |
data.departments_declining | array | Declining departments with headcount changes |
data.reallocation_magnitude | string | minor, moderate, or significant |
data.net_headcount_change | integer | Net change across all departments |
normalizedGrowthSignal
| Field | Type | Description |
|---|---|---|
data.absolute_change | integer | Absolute headcount change (employees gained/lost) |
departmentalGrowth[Department]
| Field | Type | Description |
|---|---|---|
data.department_name | string | Department name |
data.department_headcount | integer | Current department headcount |
data.department_growth_1yr | number | 1-year department growth % |
data.department_pct_of_total | number | Department as % of total headcount |
data.department_absolute_change | integer | Absolute headcount change |
Full Signal Example
{
"signal_id": "e8a8acd4-e0b9-4d8b-a57b-3fd1f7c28039",
"batch_id": "57bb0873-8b31-48f8-93f3-4551db67f5d3",
"signal_type": "departmental-growth-trends",
"signal_subtype": "multiDepartmentRapidGrowth",
"detected_at": "2026-01-08T04:05:28Z",
"association": "company",
"company": {
"name": "EY",
"domain": "ey.com",
"linkedin_url": "https://www.linkedin.com/company/ernstandyoung/",
"industries": "Professional Services",
"employee_count_low": 10001,
"employee_count_high": 369900,
"description": "EY is building a better working world..."
},
"data": {
"overall_growth": {
"1yr": 6.0,
"6mth": 1.0,
"2yr": 10.0
},
"company_size_category": "enterprise",
"growth_category": "rapid",
"revenue_range_low": 1000000000,
"revenue_range_high": 1000000000000,
"total_headcount": 369900,
"decision_makers_count": null,
"median_tenure": 3.3,
"source_timestamp": "2025-07-16T07:45:38.792Z",
"summary": "Rapid growth across 19 departments with Education leading at 53% YoY growth.",
"description": "Company is experiencing multi-department expansion, with 19 departments showing significant growth (≥5% YoY). The fastest growing department is Education at 53% growth, adding approximately 2170 employees.",
"relevance_score": 0.98,
"departments_growing": [
{ "department": "Education", "headcount": 6264, "growth_1yr": 53.0, "growth_1yr_absolute": 2170 },
{ "department": "HealthcareServices", "headcount": 1073, "growth_1yr": 32.0, "growth_1yr_absolute": 260 },
{ "department": "Sales", "headcount": 3781, "growth_1yr": 31.0, "growth_1yr_absolute": 895 },
{ "department": "Operations", "headcount": 7600, "growth_1yr": 14.0, "growth_1yr_absolute": 933 },
{ "department": "Administrative", "headcount": 10949, "growth_1yr": 14.0, "growth_1yr_absolute": 1345 }
],
"departments_growing_count": 19,
"growth_threshold": 5.0,
"fastest_growing_department": "Education",
"fastest_growth_rate": 53.0,
"departments_metadata": {
"finance": { "headcount": 20803, "growth_1yr": 3.0 },
"sales": { "headcount": 3781, "growth_1yr": 31.0 },
"engineering": { "headcount": 14056, "growth_1yr": 11.0 },
"marketing": { "headcount": 2510, "growth_1yr": 5.0 },
"operations": { "headcount": 7600, "growth_1yr": 14.0 },
"information_technology": { "headcount": 35812, "growth_1yr": 6.0 },
"human_resources": { "headcount": 8882, "growth_1yr": 6.0 },
"business_development": { "headcount": 25898, "growth_1yr": 2.0 },
"customer_success": { "headcount": 4036, "growth_1yr": 8.0 },
"product_management": { "headcount": 1022, "growth_1yr": -4.0 },
"research": { "headcount": 2809, "growth_1yr": 5.0 },
"accounting": { "headcount": 92811, "growth_1yr": 5.0 },
"administrative": { "headcount": 10949, "growth_1yr": 14.0 },
"legal": { "headcount": 4359, "growth_1yr": 4.0 },
"consulting": { "headcount": 46404, "growth_1yr": 6.0 },
"education": { "headcount": 6264, "growth_1yr": 53.0 },
"media_and_communication": { "headcount": 1631, "growth_1yr": 10.0 },
"program_management": { "headcount": 5474, "growth_1yr": 11.0 },
"healthcare_services": { "headcount": 1073, "growth_1yr": 32.0 },
"arts_and_design": { "headcount": 2550, "growth_1yr": 13.0 },
"quality_assurance": { "headcount": 1606, "growth_1yr": 13.0 },
"real_estate": { "headcount": 439, "growth_1yr": 0.0 },
"purchasing": { "headcount": 277, "growth_1yr": 3.0 },
"entrepreneurship": { "headcount": 10012, "growth_1yr": 2.0 },
"military_and_protective_services": { "headcount": 906, "growth_1yr": 14.0 },
"community_and_social_services": { "headcount": 2495, "growth_1yr": 13.0 }
}
}
}Relevance Score
The relevance_score (0.0-1.0) helps filter high-value signals based on:
- Growth magnitude: Higher growth rates increase relevance
- Absolute change: Larger headcount changes increase relevance
- Company size: Enterprise companies receive higher scores
- Multi-department growth: More departments growing = higher relevance
- Revenue: Higher revenue companies receive higher scores
Recommended filtering:
- Production use:
relevance_score >= 0.3 - High-priority signals:
relevance_score >= 0.7
Coverage
- Refresh: Monthly
- Coverage: 75-99% of companies
- Best for: HR tech, recruiting tools, market sizing, organizational analysis
Delivery
These signals are delivered via:
- JSONL: One signal per line, nested JSON structure
- Parquet: Columnar format with dot notation (
company.name,data.summary)
See Signal Database Delivery for more details.
Updated 4 days ago