Precursor Analysis: Predicting and Preventing Serious Incidents and Fatalities
This year a worker died on the job every 35 minutes in the US. Precursor analysis was designed and tested to predict and prevent serious incident and fatality (SIF) events. The method was developed through a 3-year industry-academic collaboration, over $1M in investment and experimentally validated across over 100 cases. Precursor analysis has proven to identify the warning signs of SIF events before they occur through a brief but targeted conversation with work crews. Intended for high-risk work, precursor analysis focuses on elusive human factors (e.g., work pressures, tendency to improvise, and fatigue) that are often consequences of safety culture. The method requires about 8 minutes to implement and complements industry-standard pre-job meetings, audits, and job hazard analyses.