Choose an activity to learn more.
A peer-reviewed study that identifies and ranks the leading predictors of serious injuries and fatalities in construction, drawing on 254 potential factors generated by an expert panel of 22 practitioners. It delivers a prioritized list of SIF precursors that can be tested and deployed on site.
A guide to running pre-job safety meetings that actually anticipate and prevent hazards. Covers what to discuss, who should lead, and how to make these brief conversations a cornerstone of the safety program.
Sets the standard for what a high-quality safety observation looks like: how to tour a site, engage workers, and make recommendations that genuinely improve safety rather than simply audit for compliance.
A field guide for leaders on what to do before, during, and after an engagement with frontline workers. Practical guidance for communicating values, listening actively, and strengthening safety culture.
Presents the Safety Classification and Learning (SCL) Model, a structured way to define and classify serious injuries and fatalities so organizations can learn from these rare events more effectively. It aims to replace scattered, 'whack-a-mole' investigation with consistent classification.
Proposes High-Energy Control Assessments (HECA) as a standardized, objective alternative to TRIR for measuring safety performance, based on whether effective controls are in place for high-energy hazards. It offers a comparable metric that reflects real exposure to serious risk.
A field-ready guide to spotting 'safety clutter,' the activities that consume time and attention without improving safety, using definitions, probing questions, examples, and countermeasures for each type. Designed for use during safety walks, reviews, and planning.
The full research report behind the decluttering model, developed with 28 safety professionals and field experiments at eleven sites, presenting a diagnostic approach to identify, classify, and remove safety clutter.
The taxonomy at the heart of decluttering safety, classifying clutter into families and types, each with a definition, real field examples, and a countermeasure, so teams can name and remove what isn't adding value.