This study has examined whether phonon-related features can be used to inexpensively predict ion migration barriers in the context of computational screening for fast multivalent ion conductors. Phonon band centers were found not to exhibit strong correlations with barriers for the 24 anti-perovskite and spinel materials considered here. However, a new "mean alignment-weighted frequency" metric that incorporates information about both the frequencies of phonon modes and the extent to which they displace cations toward neighboring sites was found to exhibit a greater degree of correlation with migration barriers, especially within each class of materials (R 2 = 0.39 for spinels, and R 2 = 0.55 for anti-perovskites). Further efforts to assess the generality of these trends could be facilitated by existing databases of ab initio phonon frequencies and eigenvectors. 101