Construction Project Management Statistics

MentorHealth
Date: Thursday November 12, 2026
Time:

10:00 AM PST | 01:00 PM EST

Duration: 60 Minutes
Instructor: Mike Cunningham 
Webinar Id: 806240
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Overview:

This webinar provides a practical introduction to construction project management statistics and key performance indicators. It focuses on how project teams can use measurable information to understand cost, schedule, change, productivity, safety, quality, forecasting, and closeout performance.

Attendees will learn the difference between leading and lagging indicators, how to calculate and interpret common percentages and ratios, how to set useful thresholds, and how to compare project performance without misusing benchmarks. The session will also examine common industry data sources, including contractor studies, safety statistics, cost and schedule research, and internal project records.

The goal is not to turn project managers into statisticians. It is to help construction professionals ask better questions of their data, identify trends earlier, build clearer dashboards, and use statistics as one input to professional project judgment.

Why you should Attend:
Construction teams can track dozens of metrics and still miss the indicators that matter most. Poorly defined KPIs, inconsistent data, and headline statistics without context can create false confidence, hide emerging risk, or encourage teams to react too late.

This session provides a practical guide to the project-management statistics that matter across cost, schedule, change, productivity, quality, safety, RFIs, forecasting, and closeout. Attendees will learn how to interpret percentages, trends, ratios, averages, medians, and benchmarks at a useful management level, and how to turn data into questions and actions rather than simply producing more dashboards.

Areas Covered in the Session:

  • What construction project management statistics are and why they matter
  • Leading versus lagging indicators: what each can and cannot tell you
  • Basic statistical concepts for project managers: percentages, ratios, averages, medians, ranges, trends, and outliers
  • Cost metrics: budget variance, committed cost, cost-to-complete, contingency drawdown, margin, and forecast accuracy
  • Schedule metrics: milestone reliability, schedule variance, slippage, lookahead reliability, and update discipline
  • Change management statistics: change-order volume, aging, turnaround time, source, value, and schedule impact
  • RFI and submittal metrics: volume, response time, aging, root cause, and downstream impact
  • Labor and productivity measures: production rates, downtime, planned versus actual output, and context limitations
  • Quality metrics: inspection pass rates, defects, rework, punch-list volume, and time to close
  • Safety statistics: leading observations and training measures versus lagging incident rates
  • Forecasting and project-health metrics: using trends to support earlier intervention
  • Benchmark sources: internal historical data, BLS, OSHA, Census, AGC, FMI, Autodesk/Dodge, and other industry studies
  • Avoiding misleading comparisons: project type, size, geography, delivery method, scope, and data-quality differences
  • Building a practical project dashboard and selecting a manageable set of KPIs

Who Will Benefit:
  • Construction Managers and Project Managers
  • Project Controls and Scheduling Professionals
  • Commercial Managers, Estimators, and Cost Managers
  • Superintendents and Operations Leaders
  • Construction Executives and Business Unit Leaders
  • Quality and Safety Professionals
  • Project Engineers and Coordinators
  • Professionals responsible for construction reporting and performance dashboards

Speaker Profile
Mike Cunningham is an AI workflow trainer and webinar presenter with a background in multimedia, digital communication, and practical workplace training. He focuses on helping professionals understand how tools such as Claude, ChatGPT, and other AI platforms can be used in realistic, controlled, and commercially useful ways.

Drawing on his experience across multimedia production, communication, and professional development, Mike specialises in translating complex AI concepts into clear, practical workflows. His sessions are designed to help attendees move beyond generic AI demonstrations and understand how AI can support everyday tasks such as drafting, summarising, documentation, reporting, client communication, process improvement, and workflow efficiency.

Mike’s training style is direct, accessible, and workflow-led. He places strong emphasis on responsible AI use, including confidentiality, human review, data boundaries, and professional judgement. Rather than presenting AI as a replacement for expertise, he helps professionals identify where AI can save time, improve clarity, and support better working practices.

Across multiple professional service industry topics, Mike aims to give attendees practical examples they can assess, adapt, and apply within their own roles. His approach combines clear communication, structured teaching, and a strong focus on making emerging technology useful, understandable, and safe for professional environments.


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