To identify slow motions in the system that can lead to inadequate sampling, we found it helpful to examine dH/dλ values and their relationship to other degrees of freedom. We do this by identifying sudden changes in dH/dλ values as simulations progress. These jumps then tell us when exactly to look for sudden/slow motions by analyzing frames near those jumps. Once a slow motion is identified, the correlation between the motion and the dH/dλ values across all alchemical states can be easily investigated. This method was successfully applied for the three ligands in this paper and helped identify sampling problems. The approach of detecting sampling issues affecting dH/dλ val-ues could be automated in the future, including perhaps with machine learning, e.g. using functional mode analysis.