4. Work Factors & Risk Assessment: Exposure vs Harm vs Protection

4. Work Factors & Risk Assessment: Exposure vs Harm vs Protection

Video Overview: Understanding Work Factors and Risk Assessment

This video explains how to interpret the Work Factors and Risk Assessment pages in Mibo, focusing on the critical distinction between exposure, harm, and protection.

Key concepts covered:

The three-column framework — Mibo separates psychosocial data into three distinct measures: Hazard ID & Exposure (what people face), Risk/Harm (negative impact experienced), and Protection/Benefit (positive impact experienced). Understanding this distinction is essential for effective intervention planning.

Exposure ≠ Harm — A critical insight: being exposed to a hazard does not automatically mean someone experiences harm. Individual variability, protective factors, and context all influence whether exposure translates to actual psychological injury.

Work Factors table — Lists all measured psychosocial factors ranked by harm score. Each factor shows its Hazard ID score, Exposure percentage, Risk (Harm) score, and Protective (Benefit) score. Colour coding (red/orange/green) helps you quickly identify priority areas.

Upstream vs downstream factors — High bullying or harassment harm is rare unless people also report harm from upstream factors like workload, role clarity, or leadership. When harmful behaviours appear, treat them as a downstream signal and prioritise addressing upstream levers first.

Risk Assessment Distribution — Drill into any factor to see how respondents are distributed across harm and benefit categories, from "Very High Harm" through to "Very High Benefit". This reveals whether issues are widespread or concentrated.

Nature and Source analysis — For behavioural factors, you can break down issues by type (e.g., rudeness, dismissiveness, exclusion) and source (e.g., co-workers, leaders, customers), enabling targeted interventions.

Duration: ~4 minutes Series: Mibo Data Analysis Training


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