Health and Safety CONFERENCE

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Behavioural Safety: Using Predictive Analytics to get More from Your Safety Observations

David Pope
Principal, POPEHSE Pty Ltd

Richard Wall

Behavioural Safety is helping many organisations make inroads into improving safety performance.

Founded on decades of psychology research, behavioural safety positively reinforces target behaviours. By interacting in a positive manner, the studies indicate behavioural change is initiated.

Interactions occur between people and is often called a ‘safety observation’. Safety observations are, in many cases, documented into a system to scoreboard the number and type of behaviours observed.

Scoreboards focus on how many observations occur, rather than why behaviours occur. Evaluating the effect of an interaction, assessing the behavioural change and its repeatability, is paramount in behavioural safety.</p .

Powerful algorithms have been developed using the latest data science techniques, to assess the effect of interventions, like safety conversations, on large groups. These techniques are widely used in Marketing/Advertising, Finance/Insurance, Healthcare, Law Enforcement, and Politics.

Safety conversations are a window into the individual interactions. With certain data, it is possible to identify positive, negative or neutral interactions, and the effect over time.

This paper presents a robust and novel approach to assess sentiment analysis of documented safety observations, to predict the persuasive effects of leaders on their groups, and the resultant safety outcomes.