Web Performance Metrics
Interpret loading metrics and create a performance budget.
How to interpret performance
Web Performance Metrics turns measurements into improvement hypotheses. A single metric rarely explains the full experience: loading, network, CPU, and interaction should be viewed together.
- Separate lab measurements from real-user data and compare the same scenario each time.
- Define size, time, and interaction limits to catch regressions before release.
- Optimizations should preserve accessibility, reliability, and code clarity, not only reduce one number.
Practical tip: Record the test conditions, including device, network, browser, and asset sizes.