Nuclear magnetic resonance (NMR) spectroscopy is a keystone analytical technique in any industrial laboratory. NMR is a universal detector and finds wide application in diverse materials and fields. However, the analytical power of NMR is often tempered by relatively poor sensitivity and resolution. Resolution can be improved by projecting spectra into multiple dimensions at the cost of long experimental times. Collecting adequate signal/noise and resolution in these multidimensional experiments can often extend from days to weeks to months. The ability to collect high quality spectra as quickly and efficiently as possible is clearly of paramount importance. Non-Fourier techniques including Hadamard spectroscopy and non-uniform sampling (NUS) are both modern approaches to achieve this goal. However, these approaches have traditionally been optimized toward small molecule targets of interest to the pharmaceutical industry. Polymeric materials, which can exist as a disperse ensemble, are not as well suited to the conventional non-Fourier techniques. Specifically, maintaining high fidelity between fully and partially sampled spectra is an outstanding challenge. This talk will focus on practical approaches to optimizing non-Fourier NMR methods toward the analysis of polymeric materials and showcase resolution and sensitivity improvements in key examples.