Interferometric Synthetic Aperture Radar (InSAR) is a well-established remote sensing technique that enables a precise monitoring of the Earth’s surface. Accurate estimation of InSAR parameters, such as phase and coherence, is critical for deriving meaningful geophysical information. However, there are many challenges in evaluating the performance of different estimation methods. This work aims to standardize performance evaluation metrics to ensure consistent and reliable results across different applications. We address this challenge by examining factors such as the nature of the data (real or simulated), the processing stage of the evaluation, the signal properties under test, and the nature of the metrics (quantitative and qualitative). We emphasize the need for a comprehensive evaluation framework that integrates multiple metrics to assess different properties of the interferometric data. Examples of both simulated and real data are provided to demonstrate performance evaluation. In addition, we outline various metrics and evaluation frameworks to facilitate benchmarking in InSAR parameter estimation.