X-ray and neutron diffraction are particularly useful for determining the crystal structure, which are crucial for understanding ionic conduction. Quasielastic neutron scattering (QENS) measurements help in understanding atomic orientation, particularly in cases where isolated anions exhibit significant reorientation. NMR spectroscopy allows for the measurement of self-diffusion behavior, providing insights into ion-ion correlations in ionic diffusion. Theoretical techniques, including MD simulations, density functional theory (DFT) calculations, genetic algorithms for determining unique structures, and machine learning force-fields, nudge elastic band (NEB) method, are indispensable for gaining atomistic energy barrier between two hops into ion conduction following minimum energy path. It is worth emphasizing that while the NEB method is a widely used tool in this context, its accuracy relies heavily on the availability of precise initial and final sites for ion hopping. In many real-world cases, these sites may not be readily accessible or well-defined. Moreover, the NEB method does not inherently account for the influence of materials characterized by rotating frameworks on the ion diffusion process or entropy effects. Therefore, while it is a valuable tool, it is crucial to be mindful of its limitations in certain situations.