 This paper examines the use of risk management techniques for understanding how to manage uncertainty in energy retrofit campaigns. It suggests using sensitivity analysis and Monte Carlo simulation to identify potential risks associated with these projects. The paper also emphasizes the importance of correlated variables in the input data, which can be used to separate aleatoric and epistemic uncertainties. Additionally, it highlights the benefits of using percentile variations instead of percentage deviations in sensitivity analysis. This article was authored by Laura Gabrielli, Aurora Greta Ruggieri and Massimiliano Scarpa.