What We Test Manually
UX, interface behavior, business logic, edge cases, localization, and real user journeys where human judgment matters.
Manual and Automated QA Testing
How We Combine Manual and Automation
QAnetix combines manual testing and automation so teams get more than a list of bugs. Manual QA helps uncover UX, behavior, and business-flow issues, while automation speeds up checks for critical paths, regression coverage, API stability, and release confidence.
What We Automate
Regression, API checks, critical flows, repeatable smoke checks, and build stability where speed and repeatability make the biggest difference.
What the Team Gets
Clear bug reports, testing documentation, risk prioritization, and fast QA feedback before release and after fixes.
Team Skills
Manual and Automated Testing
We build QA around two things: careful manual testing and automation where it truly saves time for the team. Manual QA covers UX, exploratory work, business logic validation, and unusual edge cases, while automation helps us run regression, API checks, critical flows, and release stability much faster.
Functional
Regression
Smoke
Sanity
UI/UX
Integration
System
Load/Stress
Cross-browser
Cross-platform
Localization
Accessibility (a11y)
Exploratory
UAT (User Acceptance Testing)
Compatibility
Ad-hoc
End-to-End (E2E)
Performance
Installation/Uninstallation
Recovery
Boundary Value Analysis (BVA)
Equivalence Partitioning
Error Guessing
Tools and QA Environment
We test web, mobile, and desktop products in real browsers, emulated devices, and controlled QA environments. We choose tools for the job, not for the sake of a long stack list: to verify APIs, isolate issues, reproduce bugs, capture evidence, and pass clear findings back to the team.
Desktop (Windows, macOS, Linux)
Virtual Machines: VMware, Linux, macOS
Mobile testing iOS/Android
BrowserStack, LambdaTest
Emulators (Android Studio, Xcode, Genymotion)
API Testing: Postman, Swagger, REST, SOAP, GraphQL, gRPC
Databases: SQL, MySQL, PostgreSQL, MS SQL, MongoDB
Jira, TestRail, Redmine, Trello, Asana
CI/CD: Git, Jenkins, GitLab CI
Blockchain and Cryptocurrency (e.g., Binance, Gate, MetaMask, Trust Wallet, Coinbase Wallet...)
Docker, Kubernetes, Lens, k9s
RabbitMQ (message queues and broker)
API Automation (REST, gRPC)
Running automated tests via GitLab CI
Autotest maintenance and extension
UI test automation with Playwright
Excel, Google Sheets (for reports and test data)
Chrome DevTools, Firefox DevTools
Slack, Microsoft Teams, Discord
WinSCP / PuTTY
Traffic interception: Fiddler, Charles
Monitoring: Grafana, Graylog, Kibana
Link checking: Xenu, Check My Link
Screaming Frog, Google Search Console, Google Lighthouse
Figma (UI/UX communication)
Chat GPT
Cursor
Documentation and Reporting Format
We document results in a way that is useful for developers, managers, and product owners. Test cases, checklists, bug reports, and summary reports help teams keep context, reproduce issues quickly, understand impact, and retest with confidence after fixes.
Test Cases and Checklists
Bug Reports
Test Plans
Requirements and Specifications Analysis
Use Cases
Test Summary Reports
Requirement Traceability
Methodologies and QA Processes
We fit QA into the real pace of the team: from short pre-release checks to a stable process with retesting, risk prioritization, and clear defect management. That helps reduce regressions systematically instead of reacting to the same problems every release cycle.
Agile (Scrum, Kanban)
Waterfall
V-Model
RUP (Rational Unified Process)
Risk-Based Testing
BDD (Behavior-Driven Development)
Lean Testing
Kaizen (Continuous Improvement)
Defect Management
Release Management
Test Strategy Planning
See how this result looks in practice
If you want to open real QA artifacts and understand what the team receives after checks, go to the Examples page or discuss your case right away.