Engineering intelligence extends beyond mere metrics, requiring a combination of measurements and insights to achieve excellence. Common myths such as the belief that engineering intelligence is solely about metrics, that outcome metrics are sufficient, and that measuring developers equates to measuring productivity are debunked, emphasizing the importance of both input and outcome metrics as well as the insights derived from them. While metrics can be manipulated, frameworks often include counter metrics to ensure accuracy, and even imperfect data can provide valuable directional guidance. Surveys, although useful for capturing subjective insights, should be complemented by data sources to provide a comprehensive view. Overall, achieving engineering excellence demands an integrated approach that combines metrics, insights, and tools to measure both individual performance and overall productivity.