In this paper we present methods developed to aid the application of modal analysis to large system dynamics models. The approach is based on a method of direct linearization which can be achieved using DYNAMO equations derived from the model being studied. The linearization is followed by identification of the sub-systems of the model and a modal analysis of the sub-systems. The sensitivities of the modes to structural and parameter changes are used along with a causal loop diagrams to propose changes in the model that will have a desired dynamic effect.Application is made to Lyneis' model of a firm. As suggested by the analysis, modifications both in the polarity of some relationships and in their strength are introduced to stabilize each sub-system and the results are shown to be positive using the criterion of over-all profitability of the model firm. The paper concludes with a discussion of further developments of the process and to account more completely for the non-linearity of the system.