In this paper we critique perceived deficiencies in current practices in analyzing operational test metrics and demonstrate how a Bayesian approach could be applied to operational tests to improve confidence in the assessment of the test results. We develop an approach and apply it to the analysis of Percent Blue Survivors and Percent Red Killed as univariate measures of effectiveness in operational testing, using historical data.