Traditional TRIZ-style cause-effect models created using methods like Cause-Effect Chains Analysis (CECA) or Root Conflict Analysis (RCA+) cannot reflect specific time relations between events, so separate models must be built for the same system that remains in different states. As a remedy, a state machine approach was previously proposed for explicit modeling of system state changes triggered by particular conditions. This concept was developed to provide systematic rules for converting traditional models into sequential state-machine models. Further development covered model extensions capable of representing four generic solution directions (dubbed mitigation strategies) using the same state machine approach and notation, similar to the Standard Inventive Solutions describing problems and respective solutions using Substance-Field models. The research objective of this paper is to analyze how Standard Inventive Solutions and other tools offering solution patterns may support the development of additional mitigation strategies applicable to state machine cause-effect models. Two such strategies have been identified, expanding the usual TRIZ scope of interest by covering diagnostic and maintenance activities. Sections 1–3 provide an introduction and theoretical framework, Sects. 4 and 5 present the results, and the remaining sections address discussion, summary and future works.