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Multiple trades working at once across a crowded structural frame.

teloform for disruption and productivity

Productivity loss is
measured, not inferred.

Disruption is the hardest claim in construction to prove, because the evidence that would establish it is rarely kept for that purpose.

Measured mile, and everything after it.

The measured mile compares productivity in an unimpacted period against productivity in an impacted period on the same project, with the same workforce and the same work type. It is the preferred method because it uses the project as its own control.

Where no clean period exists, the alternatives are weaker and known to be: earned value analysis, comparison against a properly matched project, or published industry factors such as the mechanical and electrical contractor studies.

Total cost claims, taking the overrun and attributing it to the employer, are treated with suspicion in every jurisdiction. Modified total cost claims improve on that only if the adjustments are genuinely made.

Causes have to be pleaded specifically: trade stacking, out-of-sequence working, extended overtime and the fatigue that follows, repeated remobilization, learning curve loss on repetitive work, rework.

How disruption is proved.

The method is chosen by the records, and the choice has to be defensible.

01

Find an unimpacted period

Identify a period of the same work performed without the disruptive events.

02

Normalize the comparison

Match work type, crew composition, location, and conditions.

03

Measure both periods

Establish output per labor hour in each from contemporaneous records.

04

Attribute the difference

Tie the productivity gap to specific pleaded events, not to the overrun.

05

Test the alternative

Where no clean period exists, state plainly why, and why the fallback is reliable.

What the argument is built from.

Almost all of it is labor records, and almost none of it was kept for a claim.

Labor allocation sheets and timesheets by activity
Quantities installed per period, from survey or progress records
Crew composition and manning levels over time
Daily reports recording interference and stand-down
Records of overtime, shift patterns, and remobilization
Rework and non-conformance records

Where these claims fail.

Disruption claims fail more often than any other head.

No unimpacted period is identified

Without a baseline of achievable productivity there is nothing to measure loss against.

The comparison is not like for like

Different work, different crew, or different conditions defeats the measured mile before quantum is reached.

The claim is a total cost claim in substance

Presenting the overrun and calling it disruption puts the burden of disproof on the wrong party, and tribunals notice.

Causes are pleaded generically

Disruption attributed to the employer at large, rather than to specific events, fails on causation.

What the Matter Model does with it.

It quantifies disruption with measured-mile and earned-value evidence the record actually supports, and marks where it does not.

Where the records will not carry a measured mile, it says so rather than substituting a formula and presenting it as measurement.

Standards and authorities

  • SCL Delay and Disruption Protocol, 2nd edition (February 2017), Part C on disruption
  • AACE International RP 25R-03, Estimating Lost Labor Productivity

General reference on how these disputes are argued. Not legal advice, and not a statement of the law of every jurisdiction or seat.

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