Performance optimization Evidence-led performance optimization using real-user signals for prioritization and browser traces for diagnosis. Focuses on loading speed, runtime responsiveness, and resource delivery. How it works 1. If a page can run, read the measurement workflow and establish a field-plus-lab baseline before editing. 2. Prioritize poor real-user Core Web Vitals. Use a DevTools performance trace and its focused insights to find the cause. 3. Inspect and change only the code or assets connected to measured bottlenecks. 4. Re-run equivalent lab measurements and report before/after…