Measuring Construction Productivity
You Can't Measure Productivity Without Knowing What the Work Should Take
Measuring crew productivity is one of the most powerful ways to control construction cost and schedule—but only if you start with the right baseline.
Tracking hours consumed isn't enough.
If a crew has burned 500 of its 1,000 budgeted labor hours, you're 50% through the labor budget. But if only 30% of the work is complete, you have a productivity problem that will likely become a budget problem.
That's why measuring actual quantities installed against actual labor hours is essential. A simple productivity factor can reveal whether crews are outperforming or underperforming expectations before the project goes off the rails.
Productivity Factor (PF) = Actual Unit Rate ÷ Planned Unit Rate
- PF < 1.0: Better than planned.
- PF = 1.0: On target.
- PF > 1.0: Productivity is declining and corrective action is needed.
This is an excellent concept—and one every project team should embrace.
But there is a question that too often goes unasked:
Where did the planned hours come from?
If the original labor-hour budget was built on outdated national averages, arbitrary productivity assumptions, or location factors, then the productivity analysis itself may be misleading. Measuring against an inaccurate baseline simply tells you how you're performing against bad information.
The first step in productivity management is determining how many labor hours and what cost should be required to perform the work under local market conditions.
Today, that information is available through current, locally researched, standardized, granular construction cost databases covering virtually every repair, renovation, maintenance, and new construction activity. These databases establish defensible labor-hour and cost baselines before work begins.
Only then can project teams confidently answer questions such as:
- Are crews actually underperforming?
- Was the estimate unrealistic from the start?
- Is the problem labor productivity, material availability, sequencing, or management?
- What corrective action will have the greatest impact?
Without an accurate baseline, productivity metrics become little more than educated guesses.
The equation is simple:
Accurate baseline labor hours + Accurate local costs + Measured installed quantities = Meaningful productivity management.
Construction doesn't fail because teams measure productivity.
It fails because too many teams measure productivity against the wrong benchmark.
To learn more about establishing accurate labor-hour and cost baselines using current, locally researched, standardized construction cost data, visit:
References
Ashworth, A., Perera, S. and Smith, P. (2021) Cost Studies of Buildings. 7th ed. Abingdon: Routledge.
Brook, M. (2020) Estimating and Tendering for Construction Work. 6th ed. Abingdon: Routledge.
Association for the Advancement of Cost Engineering (AACE International) (2020) Total Cost Management Framework: An Integrated Approach to Portfolio, Program, and Project Management. 2nd ed. Morgantown, WV: AACE International.
Construction Industry Institute (CII) (2023) Productivity Research. Austin, TX: The University of Texas at Austin. Available at: https://www.construction-institute.org
FMI Corporation (2018) Harnessing the Data Advantage in Construction. Raleigh, NC: FMI Corporation.
Kerzner, H. (2022) Project Management: A Systems Approach to Planning, Scheduling, and Controlling. 13th ed. Hoboken, NJ: John Wiley & Sons.
PMI (Project Management Institute) (2021) A Guide to the Project Management Body of Knowledge (PMBOK® Guide). 7th ed. Newtown Square, PA: Project Management Institute.
U.S. Army Corps of Engineers (2020) Construction Cost Estimating Guide for Civil Works. Washington, DC: U.S. Army Corps of Engineers.
U.S. Department of Energy (2015) Project Management Practices: Cost Estimating Guide (DOE G 413.3-21A). Washington, DC: U.S. Department of Energy.
U.S. Government Accountability Office (GAO) (2020) GAO Cost Estimating and Assessment Guide: Best Practices for Developing and Managing Program Costs (GAO-20-195G). Washington, DC: U.S. Government Accountability Office.
Winch, G.M. (2014) Managing Construction Projects. 2nd ed. Chichester: Wiley-Blackwell.