A tutorial presentation of a basic approach to the analysis of designed experiments from the dual viewpoint of a logical explanation to the engineer or scientist, and a more powerful insight to the statistical analyst. Contrast Analysis furnishes regression coefficients for models useful in optimization, simple significance test (t-test) evaluation of the importance of factors, and emphasis on the interpretation of the effects shown. The technique will be illustrated by examples ranging from very small factorials through composite designs.