Impact

Testing

// Definition

In risk-based testing, impact is the severity of harm if a feature or component fails — measured by factors such as data loss, financial exposure, safety risk, regulatory penalty, or user experience degradation. Combined with probability (likelihood of failure), impact determines the overall risk score and therefore test priority and depth. High-impact areas warrant deep coverage, dedicated exploratory sessions, and tighter regression regardless of how unlikely failure seems. Typical impact categories: Critical (data loss, security breach, service outage), High (major feature broken, revenue loss), Medium (degraded experience, workaround exists), Low (cosmetic or minor inconvenience).

// Related terms