The present document reports an application process of the Knowledge Discovery in Serial Measurement (KDSM) methodology, the results obtained with it, KDSM is a methodology for the analysis of very short and repeated serial measures with blocking factor in a ill-structured domain pertaining of a labor field. KDSM methodology was applied to obtain knowledge from a training program evolution (PROBECAT), as well as its effectiveness through the information analysis related to: the positioning of enabled people, characteristics of the municipalities where the training program occurred and the necessities of the productive sector. The obtained information by KDSM allowed to know the effect of each training course done in municipalities where the PROBECAT is established. In addition, with this information the operation of PROBECAT can be modified in order to do it more opportune and effective. On the other hand, a particular solution and results to a problem of obtained attributes are not characterizing attributes is introduced.