Process tracing is a qualitative research method used to develop and test theories. Process-tracing can be defined as the following: it is the systematic examination of diagnostic evidence selected and analyzed in light of research questions and hypotheses posed by the investigator (Collier, 2011). Process-tracing thus focuses on (complex) causal relationships between the independent variable(s) and the outcome of the dependent variable(s), evaluates pre-existing hypotheses and discovers new ones. It is generally understood as a "within-case" method to draw inferences on the basis of causal mechanisms, but it can also be used for ideographic research or small-N case-studies. It has been used in social sciences (such as in psychology), as well as in natural sciences.
Scholars that use process tracing evaluate the weight of evidence on the basis of the strength of tests (notably straw-in-the-wind tests, hoop tests, smoking gun tests, double decisive tests). As a consequence, what matters is not solely the quantity of observations, but the quality and manner of observations. By using Bayesian probability, it may be possible to make strong causal inferences from a small sliver of data through process tracing. As a result, process tracing is a prominent case study method. Process tracing can be used to study one or a few cases, in order to determine the changes that have occurred over time within these cases and causal mechanisms are responsible for this change.