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The paper introduces the Weak Signal Cultivation Model (WSCM), a human-centric framework for frontline staff to identify and track weak risk signals. WSCM uses a 2D "Weak Signal Cultivation Field" where signals are plotted based on Risk Intensity and Risk Growth Potential, allowing visualization of risk trajectories. This visualization aims to improve risk communication between frontline staff and management, providing a common vocabulary for organizational risk assessment.
A simple 2D graph could be the key to unlocking better risk communication between frontline employees and leadership.
This white paper introduces the Weak Signal Cultivation Model (WSCM). WSCM is a human-centric framework for detecting, structuring, and tracking weak risk signals as observed by frontline staff. The model centers on a continuous [0,10] x [0,10] coordinate field--the Weak Signal Cultivation Field, in which each identified signal is positioned as a node on two independent dimensions: its current Risk Intensity (x) and its Risk Growth Potential (y). Represented as a risk locus, nodes move across the field over time as new team assessments or measurements arrive. The locus reflects the signal's trajectory across four possible regions: Question Marks, Lit Fuses, Sleeping Cats, and Owls. Through this graphical approach, bridging risk communication from the frontline experience to management decision-making is made through a single organizational vocabulary. The model introduced in this document is designed to serve as a practitioner tool and a conceptual foundation for AI-supported analytics.