The aim of this study was to propose the minimal, or ideal, panel of analytical methods to be used to study polymer depolymerization, with a focus on poly(bisphenol A carbonate). To this end, we carried out methanolysis of the latter at various stages of advancement, in order to generate the intermediates and reaction products that appear during depolymerization. The various samples were then systematically analyzed using 5 analytical methods, each offering a different level of characterization of the reaction medium: size exclusion chromatography (SEC), high performance liquid chromatography (HPLC), infrared spectroscopy, MALDI-TOF mass spectrometry and proton NMR. For each, the limits of quantification of degradation were calculated, and compared, along with the various advantages and disadvantages that each present. As expected, SEC proved to be an indispensable choice for analyzing depolymerization at any rate. In addition to its very low detection limit (0.06 % under our conditions), it is also the only method that gives access to the molecular weight distribution of the sample at each instant. However, it does not allow us to identify the products formed, a shortcoming compensated for by MALDI-TOF analysis, which allows us to identify the chain ends generated, and which also has a fairly low limit of quantification (0.5 % under our conditions). HPLC has also proved useful for identifying degradation products, but only when standards are available, which severely limits its use in the case of unconventional depolymerization methods, or with unusual polymers or copolymers (specialty polymers, for example). In addition, when the depolymerization rate exceeds 10 %, infrared spectroscopy and NMR, which enable direct analysis of the chemical groups present, or even identification of the individual molecules, may prove complementary for the purpose of analyzing unknown transient species. Furthermore, infrared spectroscopy appears to be a particularly interesting analytical method for estimating the average degree of polymerization of oligomers, as we have shown that it can be used quantitatively, provided that a calibration range can be established beforehand by mixing the various species expected in solution. What's more, unlike SEC or NMR, this method is particularly solvent-efficient, does not require complex sample processing or a large sample volume for analysis, and above all can be used at high throughput thanks to its analysis speed and compatibility with robotized platforms. It is therefore particularly interesting for screening campaigns when the expected depolymerization rate is not too low. This is also the case for MALDI, which can also be performed at high throughput with small sample quantities. Together, these two methods form a particularly relevant tandem for quantifying and identifying PBPAC depolymerization, especially when the latter involves mechanisms more complex than the simple release of a monomeric unit in exo.