Employee Breakdown and Growth

Employee Breakdown & Growth provides a complete snapshot of how a company's workforce is distributed across 26 departments — and how that composition is changing over 6-month, 1-year, and 2-year windows.

We analyze LinkedIn employee data to compute headcount by department, growth rates, revenue-relative metrics, and department-level reallocation patterns. Signals fire for multi-department rapid growth (3+ departments growing >5% YoY), departmental reallocation (resources shifting between functions), and normalized growth adjusted for company size. Each signal includes the full 26-department breakdown so you can see the complete organizational picture — who's growing, who's shrinking, and where the budget is moving.

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Subtypes represent the specific growth pattern detected — whether it's multi-department expansion, resource reallocation between teams, or growth in a single department.

Available Subtypes (5)

Subtype Enum	Description
`multiDepartmentRapidGrowth`	3+ departments growing ≥5% YoY simultaneously — signals broad-based expansion
`departmentalReallocation`	Resources shifting from declining to growing departments — signals strategic pivot
`normalizedGrowthSignal`	Overall company growth contextualized by size category — controls for base rate
`departmentalGrowthSales`	Sales department headcount and growth trends
`departmentalGrowthEngineering`	Engineering department headcount and growth trends

Example Signal

What a single entry looks like in a delivered signal file:

{
  "signal_id": "c3d7e9f1-a2b4-5c6d-8e9f-1a2b3c4d5e6f",
  "batch_id": "2026-04-14-00-00-00",
  "signal_type": "departmental-growth-trends",
  "signal_subtype": "multiDepartmentRapidGrowth",
  "detected_at": "2026-04-14T06:30:00Z",
  "association": "company",
  "company": {
    "name": "Vanta",
    "domain": "vanta.com",                      // match on domain
    "linkedin_url": "linkedin.com/company/vanta",  // or match on LinkedIn URL
    "industries": ["Software Development", "Computer and Network Security"],
    "employee_count_low": 501,
    "employee_count_high": 1000,
    "description": "Automated security and compliance platform..."
  },
  "contact": [],
  "data": {
    "summary": "Vanta is expanding aggressively across 5 departments simultaneously, with Sales and Engineering leading growth at 34% and 28% YoY...",
    "description": "Multi-department rapid growth with 5 departments exceeding 5% YoY growth threshold...",
    "relevance": 0.93,                          // 0.0-1.0; higher = more actionable for outreach
    "total_headcount": 780,
    "net_headcount_change": 185,
    "absolute_change": 185,
    "company_size_category": "mid_market",
    "growth_category": "rapid",
    "growth_threshold": 5,
    "departments_growing_count": 5,
    "fastest_growing_department": "sales",
    "fastest_growth_rate": 34,
    "median_tenure": 1.8,
    "revenue_range_low": 100000000,
    "revenue_range_high": 250000000,
    "source_timestamp": "2026-04-14T06:30:00Z",
    "overall_growth": {
      "6mth": 12,
      "1yr": 31,
      "2yr": 89
    },
    "departments_growing": [
      { "department": "sales", "headcount": 142, "growth_1yr": 34, "growth_1yr_absolute": 36, "headcount_change": 36 },
      { "department": "engineering", "headcount": 234, "growth_1yr": 28, "growth_1yr_absolute": 51, "headcount_change": 51 },
      { "department": "customer_success", "headcount": 67, "growth_1yr": 22, "growth_1yr_absolute": 12, "headcount_change": 12 },
      { "department": "product_management", "headcount": 38, "growth_1yr": 19, "growth_1yr_absolute": 6, "headcount_change": 6 },
      { "department": "marketing", "headcount": 54, "growth_1yr": 14, "growth_1yr_absolute": 7, "headcount_change": 7 }
    ],
    "departments_declining": [
      { "department": "administrative", "headcount": 12, "growth_1yr": -8, "headcount_change": -1 },
      { "department": "operations", "headcount": 28, "growth_1yr": -4, "headcount_change": -1 }
    ],
    "reallocation_magnitude": "moderate",
    "department_name": "sales",
    "department_headcount": 142,
    "department_growth_1yr": 34,
    "department_absolute_change": 36,
    "department_pct_of_total": 18.2,
    "decision_makers_count": 24,
    "departments_metadata": {
      "accounting": { "headcount": 18, "growth_1yr": 6 },
      "administrative": { "headcount": 12, "growth_1yr": -8 },
      "arts_and_design": { "headcount": 9, "growth_1yr": 0 },
      "business_development": { "headcount": 31, "growth_1yr": 10 },
      "community_and_social_services": { "headcount": 3, "growth_1yr": 0 },
      "consulting": { "headcount": 7, "growth_1yr": 0 },
      "customer_success": { "headcount": 67, "growth_1yr": 22 },
      "education": { "headcount": 4, "growth_1yr": 0 },
      "engineering": { "headcount": 234, "growth_1yr": 28 },
      "entrepreneurship": { "headcount": 2, "growth_1yr": 0 },
      "finance": { "headcount": 22, "growth_1yr": 5 },
      "healthcare_services": { "headcount": 0, "growth_1yr": 0 },
      "human_resources": { "headcount": 19, "growth_1yr": 12 },
      "information_technology": { "headcount": 15, "growth_1yr": 7 },
      "legal": { "headcount": 8, "growth_1yr": 0 },
      "marketing": { "headcount": 54, "growth_1yr": 14 },
      "media_and_communication": { "headcount": 6, "growth_1yr": 0 },
      "military_and_protective_services": { "headcount": 0, "growth_1yr": 0 },
      "operations": { "headcount": 28, "growth_1yr": -4 },
      "product_management": { "headcount": 38, "growth_1yr": 19 },
      "program_management": { "headcount": 11, "growth_1yr": 10 },
      "purchasing": { "headcount": 3, "growth_1yr": 0 },
      "quality_assurance": { "headcount": 14, "growth_1yr": 8 },
      "real_estate": { "headcount": 2, "growth_1yr": 0 },
      "research": { "headcount": 21, "growth_1yr": 5 },
      "sales": { "headcount": 142, "growth_1yr": 34 }
    }
  }
}

Field Reference

Standard envelope and entity fields are shared across all signals — see Schema and Resolution. The fields below are specific to this signal:

Signal-Specific Fields

The data object contains everything unique to this signal type — the intelligence extracted from workforce composition analysis.

Field	Type	Description
`summary`	string	One-line headline describing the growth pattern (e.g., "Vanta is expanding aggressively across 5 departments"). Designed to be shown to end users. Typically 15–25 words, always includes the company name and growth highlights
`description`	string	Brief technical description of what triggered this signal. Useful for logging and debugging
`relevance`	float (0.0–1.0)	How actionable this signal is for outreach. Factors in growth rate, department diversity, company profile, and recency. Useful for prioritization
`total_headcount`	integer	Current total employee count across all departments. The denominator for all percentage calculations
`net_headcount_change`	integer	Net employees added over the measurement period. Positive = growing, negative = shrinking
`absolute_change`	integer	Absolute headcount change (sum of all additions regardless of departures)
`company_size_category`	string	Size classification: `startup`, `smb`, `mid_market`, `enterprise`, `large_enterprise`. Useful for normalizing growth expectations
`growth_category`	string	Growth classification: `rapid`, `moderate`, `stable`, `declining`. Based on overall_growth.1yr relative to size category norms
`growth_threshold`	integer	The minimum YoY growth percentage (%) used to qualify a department as "growing" for this signal
`departments_growing_count`	integer	Number of departments exceeding the growth threshold. Higher = broader expansion
`fastest_growing_department`	string	Department with the highest YoY growth rate. Useful for personalizing outreach to the hottest team
`fastest_growth_rate`	integer	YoY growth percentage of the fastest-growing department
`median_tenure`	float	Median employee tenure in years. Low tenure + high growth = lots of recent hires (good timing for vendor pitches). High tenure + growth = stable, expanding org
`revenue_range_low`	integer	Estimated revenue floor in USD. Useful for deal-size qualification
`revenue_range_high`	integer	Estimated revenue ceiling in USD
`source_timestamp`	string (ISO 8601)	When the underlying workforce data was captured
`overall_growth`	object	Company-wide growth rates. Contains `6mth`, `1yr`, `2yr` as integer percentages. Useful for trend analysis — accelerating growth (2yr < 1yr < 6mth annualized) signals momentum
`departments_growing`	array[object]	Departments exceeding the growth threshold. Each has `department`, `headcount`, `growth_1yr` (%), `growth_1yr_absolute`, and `headcount_change`. Sorted by growth rate descending
`departments_declining`	array[object]	Departments with negative growth. Each has `department`, `headcount`, `growth_1yr` (%), and `headcount_change`. Useful for identifying strategic pivots (declining ops + growing eng = automation play)
`reallocation_magnitude`	string	Scale of resource shifting: `high`, `moderate`, `low`. High reallocation with clear patterns signals strategic pivots
`department_name`	string	Primary department this signal is about (for department-specific subtypes). Maps to the fastest-growing department for multi-department signals
`department_headcount`	integer	Current headcount of the primary department
`department_growth_1yr`	integer	YoY growth percentage of the primary department
`department_absolute_change`	integer	Absolute headcount added to the primary department
`department_pct_of_total`	float	Primary department as a percentage of total headcount. Useful for understanding organizational emphasis
`decision_makers_count`	integer	Number of Director+ level employees in the primary department. Useful for estimating buying committee size
`departments_metadata`	object	Full 26-department breakdown. Each department key contains `headcount` (current) and `growth_1yr` (%). Provides the complete organizational map regardless of which subtype fired

Timing & Delivery

detected_at is when the growth thresholds were evaluated. Underlying workforce data is refreshed continuously with LinkedIn profile updates.
One signal per subtype per company per month. Growth trends are measured over 6/12/24-month windows, so weekly recalculation would add noise. Each monthly scan can fire multiple subtypes for the same company.
Each delivery arrives in a timestamped folder. Treat all signals in a new folder as recent — no need to diff against prior deliveries.

Coverage

Refresh: Quarterly
Coverage: 15,000,000+ companies with LinkedIn employee data
Best for: Identifying companies in expansion mode, detecting strategic pivots via department reallocation, timing outreach to budget growth moments

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See real delivered data → Sample Files

Example Signal

Field Reference

Signal-Specific Fields

Timing & Delivery

Coverage