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Disruption Claim & Productivity Loss Analysis

Northern Ontario Gold Mine — Disruption Claim

Sector: Mining & Resources Method: Measured Mile + Correspondence Threading Standard: AACE RP 25R-03 (Estimated Lost Labor)
Multi-front
Disruption Pattern
Threaded
Email + RFI Chronology
Causal
Owner-Action Linkage
Submitted
Formal Claim Package

The Challenge

The general contractor was executing a complex gold mining facility project in Northern Ontario when it experienced sustained disruptions caused by owner-directed changes, design deficiencies, and access restrictions. These disruptions did not manifest as simple, discrete delay events — they created a pattern of cumulative productivity loss across multiple work fronts, making traditional CPM delay analysis insufficient on its own.

The contractor needed a forensic approach that could quantify the productivity impact of disruption, link the losses to specific owner-caused events through contemporaneous records, and present findings in a format suitable for formal claim submission.

What We Did

Critical Path Partners performed a comprehensive disruption analysis combining schedule forensics with productivity-loss quantification. The scope included forensic document analysis, measured-mile productivity comparison, and full claims-narrative development.

  • Parsed Primavera P6 XER schedule files to establish planned versus actual production rates across impacted work packages
  • Ingested and indexed the full project correspondence record — emails, letters, RFIs, and change directives — to build a threaded event chronology
  • Applied the measured-mile methodology to identify unimpacted reference periods and calculate baseline productivity benchmarks
  • Compared actual crew output during disrupted periods against the measured-mile benchmark to quantify losses by work area
  • Mapped each productivity loss back to specific owner-caused disruption events through the correspondence thread, establishing clear causal linkage
  • Developed a disruption event matrix correlating owner actions, schedule impacts, and productivity degradation
  • Prepared a comprehensive claims narrative with supporting exhibits, correspondence extracts, and quantified damages

Tools Deployed

Disruption Claim Engine — automated EML/PDF/XER parsing with correspondence threading and event chronology
Measured Mile Productivity Module — baseline vs. impacted period comparison with crew-level output tracking
Forensic Claims Engine — integrated narrative generation with exhibit cross-referencing and damages quantification
Claim Workbench — slip-to-evidence cross-reference; recurring-actor identification across the correspondence thread

The Outcome

The contractor received a formal disruption claim package ready for submission — combining quantified productivity loss with documented causation traced through the project record. Every loss was tied to a specific owner-caused event, supported by the contemporaneous correspondence thread, and quantified using the measured-mile methodology that arbitrators and courts have long accepted under AACE RP 25R-03.

The analysis converted what had been a vague "we lost productivity" narrative into a defensible, exhibit-backed claim — the difference between absorbing the loss and recovering it.

Productivity loss you can't pin down?

If your project is bleeding hours and you can't tie the losses to specific owner-caused events, that's exactly the work this engine was built for. Fixed-fee preliminary assessment in two weeks. No hourly burn.

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