Scientific Evaluation of Design Processes: Metrics, Models, and Performance Indicators
Keywords:
Design Evaluation, Performance Metrics, Process Modeling, Evidence-Based DesignAbstract
Scientific evaluation of design processes enables organizations to systematically assess the effectiveness, efficiency, and quality of design workflows. By integrating metrics, computational models, and performance indicators, design managers can quantify process outcomes, identify areas for improvement, and support evidence-based decision-making. This article explores theoretical frameworks, modeling techniques, and applied metrics for evaluating design performance. Two graphical analyses illustrate process performance trends and model-based evaluation outcomes. The study highlights how scientific evaluation provides actionable insights to optimize design processes, improve productivity, and foster innovation.
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