You’re in good company

A few of the companies we’ve worked with.

When slow becomes normal

Software rarely starts slow. It slows a release at a time: a heavier page, an extra query, a new service that waits on another. Each change looked small, so nobody owns the total.

Your team learns to work around it. Customers simply wait, and some don’t come back.

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One phone screen loading, shown as four moments at equal intervals: first nothing, then the header, then the text and its button. In the last, a late image arrives above the button and pushes it down just as the visitor taps where it was.

Measured from the user’s side

A fast laptop on office wifi rarely shows what people see on a mid-range phone or a busy network. So we start from measurements of real use: how quickly each page shows, how quickly it responds, which requests are slowest and where errors and timeouts cluster.

An average can look fine while one visit in four is slow, so we look at the slower visits too, by page and by device.

Visits to one page, from the quickest to the slowest, drawn as bars with no figures. Most visits are quick, and the average sits among them. The slowest quarter of visits, a long tail to the right, is marked: one visit in four.

Fixed in order of impact

We follow the slowest journeys end to end, through the screen, the APIs, the database and the services they wait on, until it’s clear where the time goes. Often one or two causes account for most of the wait, so we rank what we find by how many people it affects and fix the biggest first.

One slow request traced from start to finish, as four parts in time order: the page, the API, a database query and a payment provider. The database query takes the longest, so it is marked to fix first.

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  • Pages and screens

    Lighter pages, images sized for the screen they’re shown on, scripts that load when they’re needed and layouts that hold still as they load.

  • APIs and the database

    Slow queries rewritten, the right indexes added, repeated calls combined, and work that doesn’t need to happen during the request moved to the background.

  • Caching

    Results that rarely change kept close to where they’re needed, with clear rules for when they refresh.

  • Third-party services

    Calls to payment, search and other providers given sensible time limits, so one slow provider doesn’t hold up the whole page.

When everyone arrives at once

A launch, a campaign or a seasonal peak can bring more people at once than the system has served before. Before it does, we test with more traffic than you expect, in the patterns real users create, to find which part gives way first. Then we fix it and test again.

A checkout at its busiest moment. The recommendations panel depends on a slow provider, so it shows a quiet fallback, Back shortly, while the basket, the delivery choice and the button to pay keep working.

  • Load tests that match real use

    Journeys tested the way people use them, from browsing to paying, not one page requested over and over.

  • Limits that fail gently

    When one part slows down, the rest keeps working: a feature shows a fallback rather than the whole page waiting.

  • Capacity planned ahead

    How much the system needs at its busiest, agreed before the day rather than found on it.

Need the platform itself to grow and shrink with demand? That’sCloud, DevOps & Security

AI features people don’t wait for

An answer that arrives too slowly can make a useful AI feature feel broken. We measure how long people wait for the first words as well as the full answer, show answers as they’re written, reuse what doesn’t change between requests and match each task to the smallest model that does it well, which can also lower what it costs to run.

AI Chatbots & Assistants AI Agents
One answer drawn as a line of grey words. A short coral bracket over its first words marks the first wait people notice, and a longer bracket over the whole line marks the full answer.

So it stays fast

Speed is easy to lose again, a release at a time. We set a budget for each key journey, check every release against it before it goes live and keep measuring real use afterwards, so a slowdown is caught in the change that caused it.

Then we keep improving it with you, or hand it over with the measurements, the budgets and the reasons behind them.

Work with us as a dedicated team, on a fixed price project or a mix of both.

Compare engagement models
An example budget for one journey, checkout, written in plain words.

Checkout

Shows
Within the agreed limit, on a mid-range phone
Responds
Within the agreed limit, at every step
Holds still
Nothing moves once it has shown
Checked
On every release, before it goes live

Let’s run it better

Tell us which journeys feel slow, where it shows and what has changed recently. We’ll talk through what to measure first and a sensible first step.

Thanks, we’ll be in touch soon.

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