In the requirements
Practically free. One sentence in the brief gets rewritten before a line of code exists.
A bug a tester catches on a Tuesday morning takes half an hour to fix. That same bug, spotted by a shopper during Black Friday, costs orders, support tickets and goodwill. We test to move the moment of discovery earlier - not to hunt for someone in the dev team to blame.
Each service answers one question: does it work, will it hold up under pressure, can people figure it out, and could an attacker get in?
We walk through the flows that matter the way a real customer would: sign-up, basket, paying by MobilePay or card, returns, editing a profile. Edge cases get a chapter of their own, since that is where things usually snap.
We simulate crowds of simultaneous visitors and pinpoint where response times climb and errors appear. Learning your ceiling in October is far cheaper than hitting it on campaign day.
Core scenarios run on their own in your CI pipeline ahead of every release. Repetitive clicking disappears, and shipping a new version on a Friday feels a lot less nerve-racking.
Real participants complete tasks on their own phones while we watch over a shared screen. We see where they hesitate, what they cannot locate and why baskets get abandoned.
With written permission we attack the solution as a hostile party would: injection, weak authorisation, leaks in error messages and logs, a fragile login. The report doubles as evidence for customers and auditors.
One and the same bug carries a very different price tag depending on when it turns up. That is why steady testing beats a single big review the day before handover.
Practically free. One sentence in the brief gets rewritten before a line of code exists.
Slightly more. The developer adjusts the code while it is still fresh in their head.
Noticeably more. The ticket bounces back, and review plus deployment run all over again.
Costly. An unplanned hotfix is needed, often late in the evening.
Most costly. On top of the fix come lost orders, Trustpilot reviews and extra strain on customer service.
Automation only pays off after a test has run many times. So we automate the stable flows that must work in every release. Screens that get redesigned fortnightly stay manual - otherwise the budget goes on maintaining tests instead of improving the product.
Instead of a vague verdict on quality you get concrete, prioritised bug reports a developer can pick up straight away. Everything happens remotely through a staging environment, VPN or shared access.
We map user journeys, integrations and the spots where a failure hits revenue. Not every screen deserves equal attention.
Scenarios, devices and browsers are chosen from your own traffic statistics. You approve the plan, and it fixes the hours and the price.
Every defect lands in your Jira, Azure DevOps or GitHub with steps, a screenshot, the expected outcome and a severity rating.
Once a fix is ready we check it again and look at neighbouring areas, so that repairing one spot has not broken another.
They do, and they should keep doing so. Yet a developer confirms that the code does what it was built for. A tester looks the other way: what happens when a user does something unexpected? The two roles pull in opposite directions, and nobody sees their own blind spots easily.
Yes, that is one of our most frequent requests - typically just before acceptance from a supplier or as part of a public tender. We gain nothing from hiding defects, so the assessment is impartial. It makes most sense to test before the acceptance protocol is signed.
Yes. For public sites and solutions within the Danish Web Accessibility Act we check against WCAG 2.1 AA: keyboard navigation, contrast, alt text and screen readers. The findings can feed straight into your accessibility statement.
Three hard numbers: how many simultaneous users the solution copes with comfortably, when response times start to rise, and which part gives out first - CPU, disk, database or the code itself. With those figures you can weigh buying more capacity against optimising.
We recommend anonymised or synthetic test data. If real personal data is involved, we sign a GDPR data processing agreement, and the data stays on servers inside the EU.
Tell us what needs testing and when it goes live. We will send a test plan and a price estimate based on the number of flows.
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