From Qualitative Behavioral Signals to Structured Risk Representation: A Self-Observational Proof-of-Concept Study Based on the Silent Trigger™ Framework

This paper presents a self-observational proof-of-concept study examining the analytical operability of the Silent Trigger™ framework. The study explores whether qualitative behavioral signals associated with decision pressure, rule interpretation drift, and behavioral ambiguity can be systematically structured and prepared for future quantification. Rather than testing effectiveness or predictive accuracy, the paper focuses on methodological feasibility, internal logical consistency, and qualitative-to-structured transformation. The findings suggest that the framework is analytically ready for subsequent controlled field pilots and empirical validation.