Quality Assurance & Testing
Quality Assurance & Testing Services
Shipping broken software costs more than testing it properly. Our QA team works across manual, automated, performance, security, API, and usability testing to catch problems before they reach your customers. We embed into your development cycle, write tests that survive codebase changes, and give you readable reports — not just a pass/fail count.
- Manual & Automated
- Security Tested
- Load Tested
- Bug-Free Delivery
What We Test
Six testing disciplines, one QA team
Most QA problems come from treating testing as a single step before launch. We cover the full range — from exploratory manual checks to scripted automation, stress testing, security audits, API validation, and real-user usability sessions.
Manual Testing
Skilled testers working through your application the way a real user would: exploratory sessions, edge cases, regression runs, and detailed bug reports with reproduction steps.
Learn moreAutomated Testing
Test suites written to run against every build, so regressions surface immediately instead of reaching production. We build, maintain, and extend your automation layer so it stays reliable as the codebase grows.
Learn morePerformance & Load Testing
We put your application under realistic and peak-load conditions to find where it slows down, where it fails, and what the ceiling actually is. You get numbers — response times, throughput, error rates — not estimates.
Learn moreSecurity Testing
Structured vulnerability assessments covering injection flaws, authentication gaps, insecure data exposure, broken access control, and third-party dependency risks. We follow OWASP standards and deliver a prioritised remediation list.
Learn moreAPI Testing
Every endpoint validated for correct behaviour, error handling, authentication, rate limiting, and data integrity. We test REST and GraphQL APIs in isolation and as part of end-to-end flows.
Learn moreUsability Testing
Structured sessions with representative users to identify where your interface causes confusion, hesitation, or drop-off. Findings are mapped to specific screens with severity ratings and actionable recommendations.
Learn moreDeliverables
Thorough QA, nothing left to chance
Every engagement comes with documented evidence, not verbal assurances. Before any release, we produce test plans that cover scope and risk, test cases written against your actual requirements, and bug reports with clear reproduction steps and severity ratings. We work inside your existing tools: Jira, Linear, Notion, GitHub — wherever your team tracks work.
Talk to Our QA Team- Test plan & strategy documentation
- Manual test case creation and execution
- Automated regression suite development
- CI/CD pipeline test integration
- Performance benchmarking & load testing
- Security vulnerability assessment (OWASP)
- API endpoint validation & contract testing
- Cross-browser & cross-device compatibility testing
- Usability sessions with real users
- Detailed bug reports with reproduction steps
- Post-fix verification & regression runs
- Ongoing QA retainer & release support
Tools & Frameworks
The QA stack we work with
We match tools to the problem, not the other way around. These are the testing frameworks, platforms, and services we use across our QA practice — from scripting automated suites to running security audits and load simulations.
- Selenium
- Playwright
- Cypress
- Jest
- Pytest
- Postman
- Newman
- REST Assured
- Apache JMeter
- k6
- Locust
- Burp Suite
- OWASP ZAP
- Grafana
- Datadog
- Hotjar
- BrowserStack
- Sauce Labs
- GitHub Actions
- GitLab CI
- Jira
How We Work
Our QA process
Good testing is not a single stage before go-live. We embed QA throughout the development cycle: planning what to test early, building automation alongside the code, and delivering a final verification pass before every release. Seven steps, each with a visible output.
- 01
Scope & Risk Assessment
We review your application, identify the highest-risk areas, and agree on what needs to be tested, to what depth, and in what order. You get a written test strategy before any testing begins.
- 02
Test Plan Creation
Detailed test plans covering functional, regression, performance, security, and usability requirements. Each plan maps to your actual requirements and acceptance criteria, not generic checklists.
- 03
Test Case Development
Manual test cases and automation scripts written against the agreed plan. Cases are structured for reuse across releases and reviewed before execution starts.
- 04
Test Execution
Manual exploratory and scripted testing runs alongside automated suite execution. All findings are logged in your issue tracker with severity, reproduction steps, and supporting evidence.
- 05
Defect Management
Bugs triaged by severity and assigned for resolution. We verify each fix in isolation before retesting the surrounding area to catch regressions introduced during the fix.
- 06
Performance & Security Runs
Load simulations and security assessments run in a controlled environment. Results delivered as a structured report with benchmarks, failure thresholds, and a ranked remediation list.
- 07
Release Sign-Off
Final regression pass before deployment. We confirm all critical and high-severity issues are resolved and provide a written release readiness summary your team can use for stakeholder sign-off.
Why Devlon StedyDesk
A QA team that reports to outcomes, not test counts
A high test-pass percentage means nothing if the wrong things are being tested. We focus on the risks that matter to your business — the flows your customers rely on, the data your operations depend on, and the failure points that would cost the most to fix in production.
Get a Free QA Audit-
Embedded in your dev cycle
We work alongside your development team throughout the sprint, not only at the end. Test cases are written as features are built, so defects are caught in the same week they are introduced.
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Automation that stays maintained
Scripts written by a QA team that leaves are often abandoned within a few months. We document every suite, write them for maintainability, and offer ongoing support so the automation investment holds its value.
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Reports your whole team can use
Bug reports include steps to reproduce, screenshots or recordings, environment details, and severity ratings. Performance and security reports include raw numbers, not just summaries.
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Security testing that goes beyond a scanner
Automated scanners find known patterns. Our security testing combines tooling with manual analysis — checking business logic, authentication flows, and access control rules that a scanner would pass without a second look.
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We test the real user paths first
We map your actual user journeys — checkout, onboarding, account management, data export — and cover those end-to-end before moving to edge cases. The flows that generate revenue are always tested most thoroughly.
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Time zone overlap that works in your favour
Three to four hours of daily overlap with US, UK, and Canada time zones means QA reviews, bug triage, and release-day support happen in your working day, not the next morning.
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No surprises before a release
We raise blockers as we find them, not in a report delivered the day before launch. If something critical surfaces mid-cycle, you hear about it the same day with a recommendation on how to handle it.
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One team across all six disciplines
Manual, automated, performance, security, API, and usability testing done by one team under one engagement. No coordinating between three different vendors or reconciling conflicting test reports.
Questions, answered
QA & testing FAQs
How much does a QA engagement cost?
Scope and cost depend on what is being tested, how deeply, and for how long. A focused manual testing engagement typically runs between $1,500 and $5,000. A full automation suite build usually lands between $4,000 and $12,000. Ongoing QA retainers typically run $800 to $3,000 per month. Every engagement is quoted in writing before work begins.
Do you do QA only at the end of a project, or throughout development?
Ideally throughout. When QA is embedded from the start, test cases are written alongside features, defects are caught early, and the cost of fixing them is a fraction of what it is post-release. We also work with teams who need a standalone pre-launch QA cycle or post-release audit.
Can you write and maintain automated tests for an existing codebase?
Yes. We start by auditing the codebase and identifying which flows are most valuable to automate first, then build the suite incrementally. All automation work is documented and version-controlled so your own developers can work with it after we hand over.
What is the difference between your security testing and a standard vulnerability scan?
Automated scanners identify known patterns: outdated dependencies, common injection points, missing headers. They miss logic flaws, broken access control between user roles, and business-layer vulnerabilities specific to your application. Our security testing combines tool-based scanning with manual analysis of your actual application logic.
How do you approach performance testing? What does the output look like?
We define the load scenarios with you first — concurrent user counts, traffic spikes, sustained load — then run simulations that match your real usage patterns. Output includes response time percentiles (p50, p95, p99), throughput rates, error rates under load, and the specific point at which the application degrades or fails.
How long does a full QA cycle take before a release?
A focused pre-release regression cycle typically takes three to seven business days. A more comprehensive engagement including automation, performance, and security testing runs two to six weeks. We scope it precisely in the test plan so you can plan your release schedule around it.
Do you work with offshore development teams, or only in-house ones?
Both. We work with in-house dev teams, distributed teams across multiple time zones, and act as the QA function for agencies or studios that do not have one in-house. We integrate into whatever project management setup is already in place — Jira, Linear, Slack, Notion.
What happens after the QA engagement ends? Do you offer ongoing support?
Yes. Most clients move to an ongoing QA retainer after the initial engagement, covering regular regression runs ahead of each release, maintenance of the automation suite as the codebase changes, and ad hoc testing for new features.
Ready to ship software you can actually stand behind?
Tell us what you are building, where you are in the development cycle, and what has been giving you the most concern. We will tell you what needs testing, how we would approach it, and what it would cost — usually within one business day.