This is a case study on revised estimates of induced failure for International Space Station (ISS) on-orbit replacement units (ORUs).We devise a heuristic to leverage operational experience data by aggregating ORU, associated function (vehicle sub -system), and vehicle `effective' k-factors using actual failure experience. With this input, we determine a significant failure threshold and minimize the difference between the actual and predicted failure rates. We conclude with a discussion on both qualitative and quantitative improvements the heuristic methods and potential benefits to ISS supportability engineering analysis. Nomenclature