👉 Screenshot engineering is the systematic process of capturing, organizing, and utilizing visual data from digital screens to extract insights, enhance communication, or support decision-making. It involves capturing high-quality images of specific screen elements using specialized tools or scripts, often automated to ensure consistency and scalability. These screenshots are then annotated with metadata (e.g., timestamps, context, labels) to provide meaningful context, making them searchable and actionable. The final step integrates these visual records into reports, dashboards, or workflows, enabling teams to analyze trends, debug issues, or train models with real-world visual evidence. This approach bridges the gap between raw data and human understanding, particularly in fields like software development, customer support, and market research.