To present the Knowledge Discovery in Serial Measurement (KDSM) methodology for analyzing repeated very short serial measures with a blocking factor. An application to employment the domain is described using KDSM. Novel knowledge about labor domain's behavior was obtained once KDSM was applied to this specific domain. KDSM has shown that important information has been missed, especially when the kind of data explained in this paper is analyzed with common statistical methods and artificial intelligence techniques, independently employed. Key Words: KDSM Methodology, Employment Domain, Repeated very short Serial Measures, Knowledge Discovery.