A reproducible baseline
Record the pages, devices or emulation settings, and test conditions used. Distinguish controlled lab results from real-visitor data when that data is available.
A slow page does not need another guess. It needs evidence: what loads, what blocks, what shifts, and what happens on the devices your visitors actually use.
A score can flag a problem. It cannot decide what matters to your business or explain every cause. We look at important pages and interactions, separate measurements from assumptions, and turn the findings into a repair plan a developer can act on.
Record the pages, devices or emulation settings, and test conditions used. Distinguish controlled lab results from real-visitor data when that data is available.
Inspect the relevant images, scripts, fonts, rendering work, and requests. Explain which findings are confirmed, which need more investigation, and why they matter.
Prioritize recommendations by likely impact, confidence, dependencies, and effort. Separate the audit from implementation so you can decide what to tackle next.
Identify the pages and actions that matter: landing, searching, signing in, buying, or using a key feature. A single homepage run is not the whole product.
Use browser traces and repeatable tests to identify bottlenecks. Check the experience on narrower screens and constrained conditions where useful.
Walk through the findings in plain language. For any separately approved fixes, repeat the relevant measurements under comparable conditions.
An audit can be focused on a few critical routes or cover a broader application. Access to code and real-user measurements affects how confidently causes can be identified. Hosting, third-party scripts, and platform restrictions may limit the available fixes. There is no blanket promise of a perfect score.
No. A report is an input. The useful work is investigating causes, explaining tradeoffs, and producing specific recommendations that someone can implement and verify.
Only if they are explicitly included in the agreed scope. Keeping diagnosis and implementation distinct lets you review the findings before committing to changes.
Not before understanding the site and its constraints. We can define test conditions and evaluate agreed changes against a documented baseline instead of chasing a number without context.
A URL, the action that feels slow, and the device you noticed it on are a useful place to begin. We will take the investigation from there.