Articles examining how data, signals, metrics, and patterns are interpreted before they inform decisions.
Accurate numbers can still produce weak decisions when they are detached from context, behaviour, and decision purpose. This article examines why metrics should be read as signals, not answers.
Data is often treated as if it begins at the point of measurement, but metrics do not show reality directly. This article examines data as constructed visibility: the result of capture, structure, filtering, and interpretation.