Causal mapping has been used in many different fields. In this chapter we look at how it can be applied in evaluation; its strengths and weaknesses.

Causal mapping is particularly useful for evaluations that focus on learning to inform program improvement: visual representation of causal links between context, activities and outcomes can help to facilitate the sharing and collaborative use of findings.

Causal mapping can be used during a program lifespan to inform adaptive management and as part of a final evaluation.

From (Powell et al. 2024)

Causal mapping offers ways to organise, combine, present and make deductions from a large number of relatively unstructured causal claims – the sort of data that are often collected in evaluations.