Labor Tracking

Labor Tracking Skill for Foreman OS

Overview

The labor-tracking skill provides comprehensive labor hour management and productivity analysis for construction projects. It enables daily labor data entry, crew-level summary tracking, worker classification management, and automated cross-validation against daily reports. The skill calculates labor productivity ratios, supports Davis-Bacon certified payroll compliance, and integrates with earned-value management (EVM) for actual cost (AC) calculations.

Core Functions

• Daily Labor Entry: Log worker hours by trade, classification, and cost code
• Crew Management: Track crew composition, headcount, and work accomplished
• Productivity Metrics: Calculate output-per-labor-hour ratios and efficiency factors
• Weekly Summaries: Aggregate hours, costs, and trends by trade
• Daily Report Validation: Cross-check labor entries against crew counts in daily reports
• Certified Payroll: Generate Davis-Bacon WH-347 form data and prevailing wage tracking
• Cost Integration: Feed actual labor costs into EVM and project dashboard

1. Labor Entry Data Model

Primary Labor Entry Schema (JSON)

{
  "entry_id": "LAB-2026-02-19-001",
  "date": "2026-02-19",
  "worker_name": "John Smith",
  "trade": "Concrete",
  "employer": "W Principles",
  "classification": "journeyman",
  "hours_regular": 8.0,
  "hours_overtime": 2.0,
  "hours_double_time": 0.0,
  "work_description": "Footing excavation and prep, rebar layout",
  "location_grid": "X2-Y3",
  "cost_code": "03-1000-02",
  "cost_code_description": "Concrete Foundations - Labor",
  "prevailing_wage_classification": "Concrete Worker - Journeyman",
  "hourly_rate_base": 52.50,
  "hourly_rate_burdened": 78.75,
  "weather": "Clear, 42F",
  "notes": "Overtime for footing critical path acceleration",
  "certified_payroll_flag": true,
  "fringe_benefits_included": true,
  "timestamp": "2026-02-19T16:45:00Z"
}

Field Definitions

2. Crew Summary Model

Crew-Level Aggregation (JSON)

{
  "crew_id": "CRW-2026-02-19-CONCRETE-01",
  "date": "2026-02-19",
  "trade": "Concrete",
  "employer": "W Principles",
  "crew_size": 6,
  "foreman_name": "Mike Johnson",
  "foreman_classification": "foreman",
  "total_hours": 48.5,
  "total_hours_regular": 46.0,
  "total_hours_overtime": 2.5,
  "total_hours_double_time": 0.0,
  "labor_cost_base": 2541.00,
  "labor_cost_burdened": 3817.50,
  "work_accomplished": {
    "description": "Footing rebar layout and tie, stem wall formwork setup",
    "quantity": 145.0,
    "unit": "linear feet of footing rebar"
  },
  "productivity_ratio": {
    "output": 145.0,
    "labor_hours": 48.5,
    "ratio": 2.99,
    "ratio_unit": "LF rebar per labor-hour"
  },
  "benchmark_ratio": 3.25,
  "efficiency_factor": 0.92,
  "performance_rating": "Good",
  "weather_impacts": "None",
  "equipment_used": ["Excavator", "Compressor", "Circular saw"],
  "daily_report_reference": "DR-2026-02-19",
  "notes": "Crew ahead of schedule on footing prep",
  "timestamp": "2026-02-19T17:30:00Z"
}

Crew Summary Fields

3. Productivity Metrics

Labor Productivity Ratio Calculation

Formula:

Productivity Ratio = Units of Output ÷ Total Labor-Hours

Labor Efficiency Factor = Actual Productivity Ratio ÷ Benchmark Ratio

Benchmark Standards by Trade

Weekly Productivity Tracking

{
  "week": "2026-02-17 to 2026-02-23",
  "trade": "Concrete",
  "entries": 5,
  "productivity_data": [
    {
      "date": "2026-02-19",
      "crew": "CRW-2026-02-19-CONCRETE-01",
      "ratio": 2.99,
      "benchmark": 3.25,
      "efficiency": 0.92
    },
    {
      "date": "2026-02-20",
      "crew": "CRW-2026-02-20-CONCRETE-01",
      "ratio": 3.18,
      "benchmark": 3.25,
      "efficiency": 0.98
    }
  ],
  "weekly_average_efficiency": 0.95,
  "trend": "steady",
  "forecast": "On track for weekly target"
}

Earned Hours vs Actual Hours (Labor Efficiency)

Earned Hours = Standard Hours × Efficiency Factor
Labor Cost Variance = (Actual Hours - Earned Hours) × Burdened Rate

If Crew 1: 50 actual hours, 3.0 ratio actual vs 3.25 benchmark
  Earned Hours = 50 × (3.0 ÷ 3.25) = 46.15 hours
  Over-run = 3.85 labor-hours
  Cost Variance = 3.85 × $78.75 = $303.19 unfavorable

4. Weekly Labor Summary

Labor Summary Report (JSON)

{
  "report_id": "LAB-WEEKLY-2026-W08",
  "week": "2026-02-17 to 2026-02-23",
  "project": "MOSC",
  "phase": "Foundation / Sitework",
  "generated_date": "2026-02-23",
  "summary_by_trade": [
    {
      "trade": "Concrete",
      "total_workers": 8,
      "total_hours_regular": 280.0,
      "total_hours_overtime": 12.0,
      "total_hours_double_time": 0.0,
      "total_labor_hours": 292.0,
      "ot_percentage": 4.1,
      "labor_cost_base": 14560.00,
      "labor_cost_burdened": 21840.00,
      "budget_labor_hours": 300.0,
      "variance_hours": -8.0,
      "variance_cost": -630.00,
      "status": "Favorable"
    },
    {
      "trade": "Sitework / Excavation",
      "total_workers": 4,
      "total_hours_regular": 152.0,
      "total_hours_overtime": 8.0,
      "total_hours_double_time": 0.0,
      "total_labor_hours": 160.0,
      "ot_percentage": 5.0,
      "labor_cost_burdened": 12600.00,
      "budget_labor_hours": 160.0,
      "variance_hours": 0.0,
      "status": "On Budget"
    }
  ],
  "weekly_totals": {
    "total_workers_active": 12,
    "total_labor_hours": 452.0,
    "total_overtime_hours": 20.0,
    "total_ot_percentage": 4.4,
    "total_labor_cost_burdened": 34440.00,
    "budget_total_hours": 460.0,
    "budget_total_cost": 36225.00,
    "variance_hours": -8.0,
    "variance_cost": -1785.00,
    "variance_percentage": -4.9
  },
  "headcount_trend": {
    "monday": 12,
    "tuesday": 12,
    "wednesday": 11,
    "thursday": 12,
    "friday": 12,
    "average": 11.8,
    "previous_week_average": 9.5,
    "change_percentage": 24.2
  },
  "top_overtime_contributors": [
    {
      "worker_name": "Mike Johnson",
      "trade": "Concrete",
      "ot_hours": 8.0,
      "reason": "Critical path footing acceleration"
    },
    {
      "worker_name": "Jim Wilson",
      "trade": "Concrete",
      "ot_hours": 4.0,
      "reason": "Rebar tie-off completion"
    }
  ],
  "alerts": [
    {
      "level": "info",
      "message": "OT at 4.4% - within acceptable range"
    },
    {
      "level": "success",
      "message": "Headcount increased 24.2% - good mobilization progress"
    }
  ]
}

5. Daily Report Cross-Validation

Validation Workflow

The labor-tracking skill automatically compares daily labor entries against crew counts reported in daily reports. This ensures consistency and flags discrepancies for investigation.

Validation Rules

{
  "validation_rules": [
    {
      "rule_id": "VR-001",
      "name": "Crew Size Match",
      "logic": "Count of unique workers logged in labor entries == reported crew size in daily report",
      "tolerance": 0,
      "action": "Flag if mismatch"
    },
    {
      "rule_id": "VR-002",
      "name": "Trade Completeness",
      "logic": "All active trades in daily report must have labor entries",
      "tolerance": 0,
      "action": "Alert if trade missing"
    },
    {
      "rule_id": "VR-003",
      "name": "Overtime Reporting",
      "logic": "Overtime hours logged must match overtime note in daily report",
      "tolerance": 0.5,
      "action": "Flag for reconciliation if >0.5 hr difference"
    },
    {
      "rule_id": "VR-004",
      "name": "Headcount Trend",
      "logic": "Crew size drop >30% from previous week triggers alert",
      "tolerance": 30.0,
      "action": "Alert - verify reason for reduction"
    }
  ]
}

Daily Validation Report

{
  "validation_report_id": "VAL-2026-02-19",
  "date": "2026-02-19",
  "daily_report_id": "DR-2026-02-19",
  "validation_status": "PASS_WITH_NOTES",
  "checks_performed": {
    "crew_size_match": {
      "status": "PASS",
      "daily_report_count": 6,
      "labor_entry_count": 6,
      "discrepancy": 0
    },
    "trade_completeness": {
      "status": "PASS",
      "trades_in_daily_report": ["Concrete", "Sitework"],
      "trades_with_labor_entries": ["Concrete", "Sitework"],
      "missing_trades": []
    },
    "overtime_verification": {
      "status": "PASS",
      "ot_hours_in_daily_report": 2.5,
      "ot_hours_in_labor_entries": 2.5,
      "discrepancy": 0.0
    },
    "cost_code_alignment": {
      "status": "PASS",
      "work_description_match": true
    }
  },
  "discrepancies": [],
  "notes": "All labor entries align with daily report. Foreman signed off on accuracy.",
  "reconciliation_status": "COMPLETE",
  "timestamp": "2026-02-19T18:00:00Z"
}

Project Intelligence Integration

When project intelligence is loaded, auto-resolve locations, validate employers, benchmark productivity against plan quantities, and cross-validate against daily reports.

Location Auto-Resolution

When the user provides a casual location for labor entries:

• Read plans-spatial.json → building_areas[] and room_schedule[] → resolve to grid reference, building area, and floor level
• Auto-fill the location_grid field with the resolved grid reference
• Example: User says "east wing second floor" → resolve to Grid E-G / 3-5, Level 2

Employer Validation

When a labor entry's employer field is provided:

• Read directory.json → subcontractors[] → match by name (exact or fuzzy partial match)
• If match found: auto-correct to official company name from directory
• If no match found: flag employer_matched: false for review — the sub may not be in the directory yet
• Example: User enters "Walker" → resolve to "Walker Construction"

Productivity Benchmarking

When a crew summary includes work_accomplished with measurable output:

• Read plans-spatial.json → quantities → find the total plan quantity for the work type
• Calculate output-per-labor-hour and compare against benchmark ratios
• For concrete work: Calculate CY placed per labor-hour vs 0.040 CY/hr benchmark
• For framing: Calculate studs installed per labor-hour vs 15 studs/hr benchmark
• For drywall: Calculate SF hung per labor-hour vs 85 SF/hr benchmark
• Include plan total as context: "12 CY poured today of 42.3 CY total footings (28%)"

Daily Report Cross-Validation

When labor entries exist for a date that also has a daily report:

• Read daily-report-intake.json or daily-report-data.json → crew section
• Compare logged crew headcounts per trade against labor tracking entries per trade
• Flag mismatches: "Daily report shows 6 concrete workers, labor tracking has 5 entries for concrete"
• Compare overtime hours reported in daily report against overtime in labor entries

Cost Code Mapping

When a labor entry has trade and work description but no cost code:

• Read specs-quality.json → spec_sections[] → match work description to CSI section
• Suggest the appropriate cost code based on trade → CSI division mapping
• Example: trade="Concrete", work="Footing rebar layout" → suggest cost code 03-2000 (Concrete Reinforcement)

Extended reference: Detailed examples, templates, scoring rubrics, and best practices are in references/skill-detail.md.