Check laboratory signals of mobile-loading problems.

We run local Lighthouse using a mobile profile and organise laboratory metrics with selected asset and technical signals. The result identifies areas for investigation; it is not a diagnosis of every user’s experience.

Tools / performance and technical health

We run local Lighthouse using a mobile profile and organise laboratory metrics with selected asset and technical signals. The result identifies areas for investigation; it is not a diagnosis of every user’s experience.

What we check

Technical signals in the context of a decision.

FCP, LCP, CLS and selected Lighthouse metrics

response time and initial rendering

asset count and weight

images, fonts and JavaScript

selected cache and render-blocking signals

third-party script impact

What you receive

A shorter route to the right action.

0 1 laboratory mobile-profile score

0 2 highest-impact delay signals

0 3 evidence, impact and confidence

0 4 priority for further measurement and optimisation

Honest test boundary

This is one laboratory Lighthouse run using a mobile profile. It does not measure real-user INP, represent every device or network condition, or prove the root cause without performance-trace analysis. Decisions should combine it with field data and critical user journeys.

Paulina Przychocka

Branding and web

Define the scope of a deeper performance analysis.

Lighthouse surfaces signals in one mobile profile. A deeper analysis connects field data, performance traces and critical user journeys.

1 Conversation scope Current step

2 Context

3 Budget and timing

4 Contact

We respond with a concrete recommendation by the end of the next business day.

Step 1 / 4

Which performance area requires deeper investigation?