Working with Causation

The Causation system manages the process of spotting spatiotemporal patterns and connections within information, and to use those patterns to explain and predict phenomena, as well as selecting appropriate responses.

Discrepancies originating within the Causation system could result from failing to spot patterns or seeing partial or illusory patterns within information, or from the construction of plausible but incorrect explanatory models or heuristics.

• Perspective shifting and self-distancing can help us to see different patterns because we are looking at information from a different standpoint.

• Cause-and-effect mapping, VITAE, theory of planned behaviour, operant conditioning and force-field analysis can help to articulate the assumptions underlying your explanation and prediction of events and people's behaviours

• Counterfactual thinking helps you to explore alternative explanations and predictions

• Scenario planning, learning-unlearning-relearning  and circles of concern can help you to explore possible future development paths. PACT goals, MCII and appreciative inquiry helps you to design better future approaches

• Archetypes and need analysis can be used to identify and characterise habitual patterns in events and behaviours