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Core Web VitalsSeverity: Medium

INP too high: Accelerate interaction

Slow reactions to interactions worsen the perceived performance.

Short version

Slow reactions to interactions worsen the perceived performance performance errors should be prioritized according to affected templates and user view. Not every technical warning is equally business critical.

Name the slow interaction concretely

A sluggish filter selection can result from long JavaScript tasks, complex layout calculation or delayed presentation. Record exactly this interaction in the performance tool. The pure loading time of the start page does not explain why a later click is answered slowly.

Example: Recognizing the Result

Illustrative example: A click on the variant filter waits for a long JavaScript task before a visible reaction appears. The delay concerns a concrete interaction.

Limit cause and implement correction

After the change, check the same action with realistic data and on a weaker device. Immediate feedback can make the operation more understandable, but it does not replace eliminating unnecessary blocking work. Compare lab tests with available usage data, instead of closing all sessions from a single quick click.

What makes you recognize a suitable correction

Repeat the problematic interaction in the performance trace, split up long tasks and reduce unnecessary work. Then measure the same interaction again.

Classification and boundaries

When is this indication not a clear error?

INP is not a pure charging time code. A fast first side structure does not preclude slow later operation.

Further documentation

web.dev: Optimizing INP

INP too high after CMS and cause

Many audit messages can be resolved faster if they are grouped by system, page type and technical cause. CMS indentations are only linked where INP has a clearly own cause or fixed route in the respective system.

Frequent causes of this error

Related SEO Errors

Appropriate Seitenreport checks

This error should not be checked in isolation. The following tools and clusters help to narrow down the cause faster and to cleanly prioritize the affected URL groups.