Build performance expertise that stays in-house. We work alongside your developers to diagnose problems, ship reviewed improvements and leave practical monitoring, checklists and training materials your team can maintain.
What’s included.
Three steps.
Frame
Agree the task, people, systems and acceptance criteria.
Build
Develop and review the scoped changes with your team.
Transfer
Verify realistic scenarios and hand over the working materials.
Recognise the challenge?
Start with the problem you see. Explore what we can change, then open the implementation notes for the detail.
01Catch performance regressions before customers do
What you may be seeing
- We fix a slow page, but it becomes slow again after the next release.
- We have monitoring, but no clear threshold or owner for action.
We set up a practical monitoring and release-check process around your most important journeys. Your team can recognise a regression, inspect the evidence and decide what to change.
Implementation & verification
We set up a practical monitoring and release-check process around your most important journeys. Your team can recognise a regression, inspect the evidence and decide what to change.
How we verify the work
- Combine real-user monitoring, measurements from actual visits, with repeatable laboratory journeys.
- Agree performance budgets, acceptable limits for loading, interaction and page resources, by page type and device.
- Add relevant checks to the release pipeline and document alert ownership, investigation and rollback steps.
02Turn findings into a shared implementation plan
What you may be seeing
- Our audit backlog is too large to act on.
- Developers need a business reason for choosing performance work over new features.
We turn the evidence into a prioritised backlog and work through it with your developers. The scope includes reviewable code changes, before-and-after measurements and a record of what remains.
Implementation & verification
We turn the evidence into a prioritised backlog and work through it with your developers. The scope includes reviewable code changes, before-and-after measurements and a record of what remains.
How we verify the work
- Rank issues by customer impact, confidence, effort and dependencies.
- Use existing code review and release controls; agree a scope that fits available access and team capacity.
- Use like-for-like device, geography and connection conditions when benchmarking. Separate correlation with sales from proof that speed caused a change.
03Build practical skills inside your team
What you may be seeing
- Only one person knows how to investigate performance problems.
- The team needs help interpreting browser traces and field measurements.
We scope hands-on workshops and paired reviews around your own application. Developers practise diagnosis and verification, with reusable exercises and an operating guide for the work they will own.
Implementation & verification
We scope hands-on workshops and paired reviews around your own application. Developers practise diagnosis and verification, with reusable exercises and an operating guide for the work they will own.
How we verify the work
- Agree the audience, baseline skills and a representative journey before setting the workshop agenda.
- Walk through browser traces, image delivery, application requests and monitoring using your stack.
- Check understanding through a practical investigation and hand over the examples, checklist and remaining questions.
Use automation to protect progress.
Automated checks flag performance changes; AI can help summarise the evidence, while a developer reviews the diagnosis and proposed fix.
Explore the technical toolkit
Selected around your existing stack, licences, permissions and agreed scope.
Define what better means.
Speed
Loading, interaction and slow-request response times.
Reliability
Successful transactions and recovery under realistic load.
Unit cost
Spend per completed action, with traffic and quality considered.
Targets follow the baseline. These are measurement areas, not promised results.
Engineering terms, explained
- Grounded AI / RAG
- An assistant retrieves relevant approved evidence before generating an answer. Access controls and evaluations still need to be engineered and tested.
- Idempotency
- Retrying the same operation does not create an extra order, payment or record.
- Controlled experiment
- A concurrent comparison of assigned variants, with a defined outcome, observation window and decision rule.
- Core Web Vitals
- Measures of main-content loading, responsiveness to interaction and visual stability.
Technical references: Web Vitals · Azure document access · Structured data guidelines.
Quick answers.
Can this support our existing team?
Yes. The engagement can combine a focused implementation with paired work and practical handover. We agree responsibilities, access and availability before starting.
What determines the scope and duration?
The systems involved, quality of existing evidence, required integrations and time your team can provide. The proposal states deliverables and acceptance criteria before work begins.