The Weak Signal Cultivation Model: A Human-Centric Framework for Frontline Risk Detection, Signal Tracking, and Proactive Organizational Resilience
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arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866915908600987648 |
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| author | Codourey, Maurice Gonzalez, Emmanuel A. |
| author_facet | Codourey, Maurice Gonzalez, Emmanuel A. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_01495 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The Weak Signal Cultivation Model: A Human-Centric Framework for Frontline Risk Detection, Signal Tracking, and Proactive Organizational Resilience Codourey, Maurice Gonzalez, Emmanuel A. Human-Computer Interaction Computers and Society H.5.3; K.6.1 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. |
| title | The Weak Signal Cultivation Model: A Human-Centric Framework for Frontline Risk Detection, Signal Tracking, and Proactive Organizational Resilience |
| topic | Human-Computer Interaction Computers and Society H.5.3; K.6.1 |
| url | https://arxiv.org/abs/2604.01495 |