Productivity claims: Why you won’t win on data alone

15th September 2020



Lost productivity claims are not unique to the context of the Covid-19 pandemic; however, as contractors now find themselves performing their work under different conditions from those contemplated at contract formation, it may lead to an increase in contractors pursuing such claims. Documenting causation will be essential as projects move forward post Covid-19 and contractors seek compensation for productivity-related impacts resulting from altered working conditions.

As the construction industry resumes work on projects that were shuttered or slowed due to the Covid-19 pandemic, accurate assessment of lost productivity impacts will be especially important. Owners and contractors will be seeking ways to progress the work while also taking unprecedented steps to keep workers and the public safe and healthy. Social distancing, medical checks, rotating schedules and other potential mandates associated with the pandemic, as well as labour availability and supply-chain challenges, may create losses of productivity on projects. Even in the best of times, these types of losses can be obscure, incremental and difficult to quantify. Faced with these challenges, contractors will likely expend more labour hours on the project than planned, resulting in real impacts to the bottom line. Enter the lost productivity claim.

While there are many methods to calculate damages from lost productivity, the ‘Measured Mile’ is widely recognised in the industry as the ‘gold standard’. It is preferred over other methods because it relies on actual project labour records, is a data-intensive analysis and compares impacted versus unaffected areas on the same project. Because of its positive reputation, contractors often select the Measured Mile approach when submitting a lost productivity claim. The problem arises when a contractor believes that by simply performing a Measured Mile calculation it entitles them to recover losses.

At face value, the Measured Mile analysis is simply a calculation method. It makes no distinction between losses caused by the owner or those caused by the contractor. As such, a critical component to proving losses due to productivity impacts is the contractor’s ability to establish causation. This is often the difference between a successful and unsuccessful claim.

So, what does that mean? Establishing causation is demonstrating a direct cause-and-effect link between project events and the resulting adverse impact. There are countless potential issues on any given project, caused by the owner, contractor or both. Establishing that additional labour hours are only the result of an owner-caused issueis critical to a contractor’s successful claim.

Project records, such as meeting minutes, daily reports, change orders, emails, field notes and the like, are excellent sources for establishing cause-and-effect links and supporting a loss-of-productivity claim. Establishing causation is directly affected by the quality, quantity and relevance of the project records. Poor recordkeeping makes it more difficult to create a cause-and-effect link and, therefore, more difficult to create a strong claim. Keeping detailed project records is a contractor’s first line of defence in protecting itself from unplanned labour costs.

Establishing causation is essential because productivity impacts can occur for numerous reasons that are not the fault or responsibility of the owner. These reasons commonly include insufficient estimates, poor planning or scheduling of manpower, or unreasonable contractor means and methods. Owners should rightfully be wary of contractor productivity claims that do not include a narrative and supporting documentation demonstrating claim entitlement and instead provide only a calculation accompanied by a simple list of asserted impacts. Additionally, owners should expect that the contractor evaluated and accounted for any self-inflicted impacts in its damage calculations.

To show how data may be misleading and why establishing causation is critical to a successful claim, let us examine a hypothetical project. Figure 1 shows a project’s cumulative labour hours expended on the Y axis, versus cumulative units installed on the X axis. The slope of the plotted line represents the contractor’s productivity (units installed per labour hour). A steeper slope indicates worse productivity (less units installed per labour hour) and a flatter slope indicates better productivity (more units installed per labour hour).

Figure 1 – Hypothetical project productivity data plot

The example shows that early in the project the contractor performed work productively (B to C). Subsequently, the data shows a vertical line (C to D), indicating the contractor expended about 200 labour hours without installing much work, establishing the first period of poor productivity. After, the contractor returned to productive work between points D and E. After that productive time, the contractor experienced another period of poor productivity (marked in pink). During that second period of poor productivity, the contractor was affected during installation of the last approximately 1,000 units (E to F).

By looking at solely the data, it appears that the contractor’s productivity was affected over more than 1,000 labour hours during the first and second periods of poor productivity (impact periods C to D and E to F). However, as discussed, data plots and calculations by themselves are insufficient to successfully be awarded compensation. The contractor must prove that impacted hours were the result of an owner-caused issue and were not self-inflicted, because the burden of proof of the claim resides with the contractor.

For this example, the analyst reviewed daily records and determined that, after installation of approximately 1,800 units (point C), the contractor was unable to proceed due to design errors. Project meeting minutes fully documented the coordination efforts between the owner and the contractor to resolve those design conflicts. During the design impact period (C to D), the contractor’s daily reports showed that it continued to perform work, as required by the owner, but had to do so in an inefficient, incomplete manner until the conflicts were resolved. Therefore, the project records show a direct link between the contractor’s increased labour hours and the design errors.

With the causal link established, the next question is: which party is contractually responsible for the design? On a typical bid-build project the owner is responsible. In this scenario, the productivity impacts are the result of an owner-caused issue and the contractor should be compensated. However, on a design-build project the contractor would typically be responsible for the design. The contractor’s additional labour hours caused by the contractor’s own design errors would be non-compensable. Thus, data or calculations indicating productivity loss does not necessarily mean the contractor is entitledto recover compensation for those losses.

In Figure 1, the contractor’s productivity returned to its ‘unimpacted’, productive performance after resolving the design issues (D to E). However, a second period of lost productivity occurred after the installation of approximately 3,000 units (E to F).

In preparing the claim, the analyst reviewed project records around the impact period and determined that the owner issued numerous unilateral change orders that altered the contractor’s planned sequence of work. Daily reports and meeting minutes indicated that the altered sequence of work forced the contractor to demobilise from areas before finishing its work. Multiple demobilisations and remobilisations caused by the unilateral change orders disrupted the contractor’s planned flow of work. In this example, the unilateral change orders, meeting minutes and daily reports are all records the contractor must use to establish causation.  

Let us assume that instead of unilateral change orders issued by the owner, the second impact was caused by the contractor’s own decision to change its installation means and methods. In this scenario, the contractor’s poor planning caused the additional hours; therefore, they would be non-compensable. Although the calculation indicated that the contractor expended several hundred labour hours more than it should have, it is impossible to demonstrate merit for a claim that has not first established causation through actual project facts and records. The number of possible reasons for project impacts are simply too numerous for a contractor to assume that, because there were owner issues, those issues caused the increased labour hours.

While there are an endless number of impacts that could have been used in this hypothetical example, the conclusion would be the same: calculations and data alone cannot prove entitlement to recover costs for productivity losses. A contractor must demonstrate a direct cause-and-effect link, using project documents, to establish causation and successfully pursue its asserted damages.

As contractors work through challenges restarting projects after Covid-19, potentially working with new restrictions that differ from those assumed at the time of the bid, it is essential to document changed daily working conditions, owner-mandated sequencing changes and any other disturbances in daily reports, meeting minutes, letters and the like. These documents will aid contractors in proving productivity impacts as it comes time to settle costs for project disruption caused by the pandemic.  

Julia Villalobos is a Manager at HKA in Sacramento and can be contacted at

As the construction industry resumes work on projects that were shuttered or slowed due to the Covid-19 pandemic, accurate assessment of lost productivity impacts will be especially important. ”
Julia Villalobos , Manager, HKA

This publication presents the views, thoughts or opinions of the author and not necessarily those of HKA. Whilst we take every care to ensure the accuracy of this information at the time of publication, the content is not intended to deal with all aspects of the subject referred to, should not be relied upon and does not constitute advice of any kind. This publication is protected by copyright © 2024 HKA Global Ltd.


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