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Start with field data because Core Web Vitals are user-experience metrics, not lab-score contests.
Segment CrUX/Search Console data by template, device class, geography if relevant, and URL group. Determine whether the issue is systemic or isolated. A product template with poor LCP requires a different fix from a sitewide third-party script creating INP problems.
For LCP, identify the actual LCP element in browser performance traces. Check server response time, render-blocking CSS, image discovery priority, preload usage, image dimensions/format, client-side rendering delays, and whether the hero asset is loaded through CSS or JavaScript too late.
For INP, inspect long tasks and event handlers. Look for heavy JavaScript bundles, synchronous third-party code, expensive DOM updates, and interactions that trigger too much work on the main thread. Break work into smaller tasks and defer nonessential code.
For CLS, identify which elements move and why. Reserve dimensions for images/embeds/ads, avoid injecting banners above existing content, and ensure fonts or dynamic widgets do not cause unexpected layout shifts.
Use Lighthouse or WebPageTest to reproduce hypotheses, but validate with real-user monitoring or subsequent field data. Lab improvements that do not change field behavior are not complete fixes.
Also guard against regressions. Add performance budgets to deployment checks for JavaScript size, image weight, server timing, and template-specific thresholds. The best Core Web Vitals program turns recurring performance problems into release criteria instead of quarterly cleanup projects.