This version 2 SSRN Link https: //papers. ssrn. com/sol3/papers. cfm? abstractᵢd=6775219 Abstract In situations of severe information asymmetry, decision-makers often lack three resources simultaneously: domain expertise, validated algorithmic models, and applicable research evidence. Existing decision paradigms provide limited procedural guidance for this "triple absence" predicament. This paper presents the Dissective Diagnosis Protocol (DDP), an exploratory procedural framework developed from practitioner experience and informed by first-principles reasoning. The framework is built on five working assumptions about signal cost, behavioral consistency, and incentive structures. Five operations are proposed: (1) Absence Signal Detection; (2) Structural Dissection; (3) Cross-Domain Calibration; (4) Break Point Identification; and (5) Actionable Pathway Output. A three-tier signal classification and a six-state decision model structure the process. Two preliminary studies explore the framework's core indicators and operational logic. A prospective behavioral log study (N=35) found that a behavioral consistency index, conflict frequency, and consistency trajectory were associated with relationship termination in a convenience sample. Six retrospective business case analyses illustrate how the protocol was applied in cross-border due diligence, organizational diagnosis, and related contexts. The DDP does not eliminate uncertainty and is not a substitute for domain expertise. It is offered as a provisional diagnostic scaffold—revisable, context-dependent, and intended for further testing and refinement.
Chris Zhou (Mon,) studied this question.