Reflection is defined as the deliberate process of reviewing and synthesizing the outcomes of complex analyses. Throughout the exploration of causal machine learning in Indian private markets, recurring themes have emerged: the need for iterative model testing, the value of transparency, and the importance of maintaining skepticism toward initial findings. Anecdotes and practitioner stories form the backbone of these insights.