🌻 Do not use causal mapping if you have limited data or want precise models or specific causal links
From Better Evaluation.
Causal mapping is less frequently used to analyse quantitative data or to do precise mathematical modelling, e.g. of future states of a system under certain conditions.
❌ Do not use causal mapping if you …
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don’t place high value on the views of the sources
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only have a relatively small map which you can manage with traditional tools for drawing network diagrams (e.g. PowerPoint, kumu.io etc.)
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need to analyse quantitative data and/or need to do precise mathematical modelling, e.g. of future states of a system under certain conditions
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would like to just sketch out a plan (e.g. Theory of Change or similar) without much reference to the different sources underpinning each link