Question 1

What's the difference between manual and automated testing — which do we need?

Accepted Answer

Manual testing is exploratory and human-judgement-driven: an experienced tester uses the product as a real user would, finds issues scripts can't, and tells you things no metric can. Automated testing is repeatable, fast, and catches regressions on every commit. Most products need both — automation for the flows that must never break, manual for the flows where creative attack is the point. We'll scope the right ratio in discovery.

Question 2

Do you work inside our existing test suite, or do you start from scratch?

Accepted Answer

Inside your existing suite, almost always. Starting from scratch is expensive and loses institutional knowledge. We audit what you have, flag the flaky and redundant tests, extend coverage where it's genuinely missing, and refactor the architecture incrementally so the suite stays ship-ready throughout.

Question 3

How do you handle flaky tests?

Accepted Answer

Flake is engineering debt, not a QA problem. We triage each flaky test, quarantine the ones that are environmental or timing-related, and fix root causes rather than adding retry loops. A flake rate over 2% triggers a dedicated remediation sprint — because a suite you can't trust is worse than no suite.

Question 4

What coverage target do you aim for?

Accepted Answer

Typical: 80%+ line coverage on critical business logic, 100% on regulated or safety-critical modules, and end-to-end coverage on the 10-15 user journeys that must never break. Coverage alone is a weak metric though — we also report branch coverage, mutation-testing scores on key modules, and a living map of untested risk areas.

Question 5

Can you test our mobile app across devices?

Accepted Answer

Yes — physical devices and cloud device labs (BrowserStack, Firebase Test Lab, Sauce Labs, AWS Device Farm). The device matrix is derived from your actual analytics, not a generic top-10 list. Coverage targets are set for OS version, screen size, and market segment independently.

Question 6

Can QA sit inside our development pod, or is it a separate team?

Accepted Answer

Either. For most modern engagements our QA engineers embed directly in the dev pod — attending standups, writing acceptance criteria with product, pairing with developers on test writing. For teams that prefer a dedicated QA function, we staff a separate pod with defined handoff rituals. We'll recommend the shape that matches your engineering culture, not our default.

Question 7

How does this differ from our existing developers writing unit tests?

Accepted Answer

Developer-written unit tests are essential and we never replace them — we complement them. Our QA practice owns the higher levels of the pyramid (integration, end-to-end, exploratory, performance) and the cross-cutting concerns (accessibility, security smoke, chaos testing) that developers rarely have time for. Think of it as two disciplines meeting in the middle, not a handoff at the finish line.

QA services
manual, automated, and everything in between.

Quality engineering that ships with the feature.

Six shapes of QA engagement.

Manual exploratory testing.

Automated regression suites.

API and contract testing.

Mobile testing and device labs.

Performance and load testing.

QA strategy and test-automation uplift.

A pragmatic QA stack.

Pick the engagement model
that fits the commitment.

Answers before you ask.

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QA servicesmanual, automated, and everything in between.