Synthetic Illustration: This case study uses synthetic data engineered to demonstrate CPP methodology. No real client engagement is depicted.

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.

The Result

Outcome: Confidential. The disruption claim package was submitted to the owner with the productivity-loss quantification and causation thread intact. The measured-mile methodology and contemporaneous correspondence trail supported the formal claim through independent review.

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.

Talk to CPP Or email us directly →