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Over the past decade, the field of development evaluation has seen a renewed interest in methodological approaches that can answer compelling causal questions about what works, for whom, and why. Development evaluators have notably started to experiment with Bayesian Process Tracing to unpack, test, and enhance their comprehension of causal mechanisms triggered by development interventions. This chapter conveys one such experience of applying Bayesian Process Tracing to the study of citizen engagement interventions within a conditional cash transfer program under real-world evaluation conditions. The chapter builds on this experience to discuss the benefits, challenges, and potential for the applicability of this approach under real-world evaluation conditions of time, money, and political constraints.