Insight
How to improve Core Web Vitals
A practical way to prioritize LCP, INP and CLS using field and laboratory evidence.
Short answer
Each metric describes a different experience problem: primary loading, interaction response or visual stability. Optimization starts by separating field evidence from lab diagnosis.
The right decision depends on the business objective, the current technical baseline and the team that will operate the website after launch.
What to evaluate
Use field data when volume is sufficient.
Turn this into an observable criterion with a responsible owner, available evidence and a result that would represent real improvement.
Fix the root cause rather than the indicator.
Turn this into an observable criterion with a responsible owner, available evidence and a result that would represent real improvement.
Measure by template and device.
Turn this into an observable criterion with a responsible owner, available evidence and a result that would represent real improvement.
How to apply it
Start with a baseline. Document what happens today, where the main constraints sit and which part of the journey carries the highest commercial or editorial impact.
Technical, editorial and commercial changes become more valuable when they share one architecture. Isolated optimizations create exceptions; connected work creates a system.