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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.

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.

  1. 01laboratory mobile-profile score
  2. 02highest-impact delay signals
  3. 03evidence, impact and confidence
  4. 04priority 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.

Client voice
Google review
„Great collaboration — reliable, fast and to the point!”

Michał Pawłowski

Efficient delivery

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S.04 / ContactEnquiry / Deeper performance analysis

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. 1Conversation scopeCurrent step
  2. 2Context
  3. 3Budget and timing
  4. 4Contact

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

Step 1 / 4

Which performance area requires deeper investigation?