Quality Intelligence is a practical approach that uses quality data to provide deeper insights into a product's state beyond simple pre-release testing. It analyzes the history of testing, defects, component changes, production incidents, and user reports to track how a system evolves and reacts to changes.
The method aims to identify systemic issues before they impact development timelines, budgets, or user complaints. By monitoring these indicators in dynamics, companies can detect problems early, such as when the same components repeatedly appear in incidents and urgent post-release fixes.
