How to Fill Out the 5x5 Psychosocial Risk Matrix
The 5x5 psychosocial risk matrix is a widely adopted tool for classifying psychosocial risks by crossing two variables: the probability of a risk occurring and the severity of its impact. This intersection generates a risk level that dictates the priority for action. Companies can customize the scale and thresholds according to their specific evaluation criteria, as outlined in subitem 1.5.4.4.2.2.
To complete the matrix, one must first estimate the probability of the risk on a scale of 1 to 5, and then estimate the severity of its impact, also on a scale of 1 to 5. These two values are then plotted on the matrix to determine the risk level. Actions should be prioritized starting with critical and high-level risks. The resulting classification is only valuable if it leads to concrete actions.
The MenteNR1 platform can automatically generate this matrix from diagnostic data and link it to an action plan, supporting occupational safety and health (SST) efforts. While MenteNR1 aids in compliance and legal protection under NR-1 by organizing and documenting information, it does not replace the employer's technical and legal responsibilities, nor does it guarantee immunity from penalties. The effectiveness of compliance and legal defense relies on the actual implementation of measures. Documenting a completed matrix demonstrates due diligence, a requirement often lacking in risk management programs (PGRs).
The 5x5 psychosocial risk matrix provides a structured framework for organizations to identify and prioritize potential workplace hazards. By quantifying both likelihood and impact, it aims to translate subjective perceptions into objective risk levels, thereby guiding resource allocation for mitigation efforts. The effectiveness of such a tool hinges on the accuracy of the input data and the commitment to implementing the derived action plans. Over-reliance on the matrix as a mere documentation exercise, without genuine integration into operational safety practices, risks undermining its intended purpose and may not satisfy regulatory requirements for demonstrable risk management. Future considerations should include how AI-driven tools can enhance the dynamic assessment and continuous improvement of psychosocial risk management beyond static matrix completion.
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