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Web Performance Audit Table of Contents Overview When to Use Quick Start Reference Guides Best Practices Overview Web performance audits measure load times, identify bottlenecks, and guide optimization efforts to create faster, better user experiences. When to Use Regular performance monitoring After major changes User complaints about slowness SEO optimization Mobile optimization Performance baseline setting Quick Start Minimal working example: Core Web Vitals (Google): Largest Contentful Paint (LCP): Measure: Time to load largest visible element Good: <2.5 seconds Poor: >4 seconds Impacts: User perception of speed First Input Delay (FID): Measure: Time from user input to response Good: <100 milliseconds Poor: >300 milliseconds Impacts: Responsiveness Cumulative Layout Shift (CLS): Measure: Visual stability (unexpected layout shifts) Good: <0.1 Poor: >0.25 Impacts: User frustration --- Additional Metrics: First Contentful Paint (FCP): // ... (see reference guides for full implementation) Reference Guides Detailed implementations in the references/ directory: Guide Contents Performance Metrics Performance Metrics Performance Analysis Process Performance Analysis Process Optimization Strategies Optimization Strategies Monitoring & Continuous Improvement Monitoring & Continuous Improvement Best Practices ✅ DO Measure regularly (not just once) Use field data (real users) + lab data Focus on Core Web Vitals Set realistic targets Prioritize by impact Monitor continuously Setup performance budgets Test on slow networks Include mobile in testing Document improvements ❌ DON'T Ignore field data Focus on one metric only Set impossible targets Optimize without measurement Forget about images Ignore JavaScript costs Skip mobile performance Over-optimize prematurely Forget about monitoring Expect improvements without effort 1d:[
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