We explored the potential for establishing descriptors for ionic conductivities that can universally correlate across different structural families. Such descriptors could greatly ac-celerate the discovery of new ion conductors with superionic conductivity. High ionic conductivity has been correlated with electrodes and electrolytes featuring body-centered cubic anion sublattices and structures where the mobile species is not in its preferred coordination. Besides this structural considerations, the connection between ionic size, oxidation state, and electronegativity of compound species can describe ionic conductivity for various cation and anion chemistries in different structural families. Furthermore, within the spinel structure, the migration barrier of mobile cations demonstrates a volcano-like trend, where the optimal activation energies are achieved when the site preference between two inequivalent minima tends towards zero. These correlations suggest a promising path for identifying new superionic conductors. Moreover, enhancing ionic conductivities among different types of materials including silver, sodium, lithium, and fluorine ions, has been demonstrated by lowering the frequency of low-energy optical phonons. These hypotheses, however require further experimental and computational investigation.