Signal Drift is the progressive distortion or degradation of information as it moves through an organization’s decision and execution layers. It occurs when signals—data, feedback, intent, or operational realities—lose accuracy, clarity, or alignment before reaching the points where decisions are made.
This drift is not caused by noise alone, but by structural conditions: misaligned incentives, fragmented communication pathways, pressure-induced interpretation bias, and breakdowns in cross-functional coherence. As drift increases, decisions are no longer based on reality, but on altered representations of it.
Signal Drift emerges early in system degradation. It precedes observable execution failure and often remains undetected because the system continues to operate, but on increasingly inaccurate inputs.
Execution Systems, Engineered to Hold Under Pressure
Behavioral Engineering for Decision Stability
