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Causal layered analysis

Technique used in strategic planning and futurology

  • 3 min read
  • 4 chapters

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Summary

Causal layered analysis (CLA) is a theory and method that seeks to integrate empiricist, interpretive, critical, and action learning modes of research. In this method, forecasts, the meanings individuals give to these forecasts, the critical assumptions used, the narratives these are based on, and the actions and interventions that result are all valued and explored in CLA. This is true for both the external material world and the inner psychological world. As a method, its utility is not in predicting the future per se, as in creating transformative spaces for the analysis and the creation of alternative futures. It is also useful in developing more robust, efficient, and effective—deeper, inclusive, longer term—policy and strategy. A CLA framework facilitates a deep understanding the layers of complex and intersectional issues. The inner work leads not only to the reflective practitioner but ensures epistemological mindfulness. We enter the room aware that we are part of the problem or solution, that our stories can help or hurt. CLA of the self, for me, is a way to help others find ways out of current predicaments.

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