TrendTracker helps users detect trends and results from multiple iterations of a static study. Users can start TrendTracker from a study by setting a baseline to store initial model values. Initial values for mass, stress and displacement are added, with the ability to add additional track data such as factor of safety. Once the model is modified and re-run, a new design iteration is added to the TrendTracker results. Allowing users to quickly note the impact of these design changes. A Trend Journal is available to add comments to each design change. Previous model iterations can be restored at any point during this process. TrendTracker ensures users can quickly monitor design trends and experiment with multiple designs whilst guaranteeing previous model iterations are never forgotten. you