Description: Quantitative feedback refers to an evaluation and adjustment process based on numerical data. This approach allows for measuring and analyzing the performance of a system, product, or process through specific and objective metrics. Unlike qualitative feedback, which relies on opinions and perceptions, quantitative feedback provides concrete information that can be statistically analyzed. This makes it a valuable tool in fields such as data science and statistics, where precision and objectivity are paramount. The main characteristics of quantitative feedback include data collection through surveys, experiments, or performance analysis, and the use of statistical methods to interpret that data. Its relevance lies in its ability to inform evidence-based decisions, optimize processes, and improve outcomes. In an increasingly data-driven world, quantitative feedback has become an essential component for informed decision-making across various industries, from technology to healthcare, marketing, and education.
