DNV and Equinor have presented the Event Learning Taxonomy CLUE, a new taxonomy designed to improve how companies classify, analyze, and understand operational incidents.
Currently, many organizations use incident reporting systems to manage risks. However, these models often rely on language focused on individual failures, which introduces bias and limits a true understanding of what happened.
In this context, the CLUE taxonomy proposes a different approach. Through neutral, descriptive language, it enables events to be analyzed without assigning blame, supporting a more objective, system-focused interpretation.
The CLUE taxonomy takes a systems approach
This new taxonomy incorporates a systems approach that considers incidents as the result of multiple interrelated conditions. In this way, it moves away from traditional linear cause-and-effect models.
Likewise, the model reduces the number of categories and simplifies its application, making it easier to use even for personnel without specialized training in incident investigation.
One of the key changes is replacing the concept of “cause” with that of “contributing factor.” This adjustment more accurately reflects the complexity of industrial environments.
In addition, CLUE uses a single analytical layer, which helps structure information more effectively and generate clearer, more useful reports for decision-making.
The taxonomy is designed to be applied across different sectors, including energy, construction, manufacturing, and maritime operations. Its scope covers incidents related to safety, quality, and occupational health.
Similarly, it enables lessons to be captured from both negative events and successful outcomes, broadening the understanding of operational performance under real-world conditions.
Methodological foundations and future outlook
CLUE’s development is based on approaches such as Human and Organizational Performance (HOP) and Safety-II, which prioritize continuous learning, operational context, and system design.
From DNV, Prajeev Rasiah emphasized that improving safety depends on the ability to learn from day-to-day work. Along the same lines, Equinor stressed that this tool makes it easier to obtain better data and a clearer view of areas for improvement.
With this initiative, both companies aim to drive a shift toward more constructive models, where systems learning helps strengthen safety, quality, and performance in the industry.
Source and photo: DNV