Metric-Driven Verification defines verification as a measurable engineering process driven by explicit objectives, traceable evidence, and controlled feedback. Design intent is decomposed into features, features are translated into metrics, and execution results are evaluated against planned closure criteria. This structure replaces subjective progress judgment with evidence that can be reviewed, audited, and acted on. It also provides a practical way to manage increasing design complexity without depending on manual scenario creation or uncontrolled stimulus volume. A disciplined vPlan connects specifications, architecture, interfaces, black-box behavior, white-box mechanisms, and input scenarios into one coherent structure. Feature-based planning identifies what the design must demonstrate, while feature-oriented analysis refines behavior into precise operating conditions, legal and illegal cases, internal interactions, and expected responses. Attribute elaboration converts these descriptions into measurable values, coverage bins, cross coverage, assertions, and checking requirements. The result is a direct path from functional intent to observable verification data. The method...