QA Assessment & Test Strategy Planning
We review your product, risks and release process to set a test strategy that targets the defects that cost you most.
- Test strategy
- Risk assessment
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Software & Product Engineering
Manual and automated testing across functional, regression, performance and security, wired into your CI pipeline, so each release ships with evidence behind it and fewer production surprises.
What’s included
We plan, execute and automate functional, performance and security testing so your releases ship faster with fewer defects.
We review your product, risks and release process to set a test strategy that targets the defects that cost you most.
We write test cases mapped to your requirements, so every feature is covered and gaps are visible before release.
Our testers check real user flows and edge cases that scripts miss, catching usability and logic issues early.
We build maintainable automated suites that run on every build, which shortens release cycles and regression effort.
We simulate peak traffic to find bottlenecks and capacity limits before your users do.
We test for OWASP Top 10 issues and weak configurations, so vulnerabilities are fixed before attackers find them.
We verify your app across real devices, browsers and API endpoints, so users get consistent behaviour wherever they connect.
We plug tests into your pipeline and give you dashboards on pass rates and defects, so release decisions rest on data.
Need something specific?
Why Kramate
We tell you what we find in words you can use.
Instead of
lists of faults you cannot understand
With Kramate
Each problem comes with what happened and why it matters to your customers.
Instead of: hiring and letting go for short jobs
With Kramate: Hired testers start with a two-week risk-free trial, and you can end with thirty days notice.
Instead of: blame passed between builders and testers
With Kramate: We join your team and test as work is built, so problems appear early.
Instead of: hearing nothing until a report lands
With Kramate: You get daily updates in Slack or Teams on what we tested and found.
Instead of: answers that arrive a day late
With Kramate: We share a full working day with the UK, Australia and Singapore, and part of the US day.
Our approach
We find problems before your customers do, and show you exactly what we found and how to fix it.
7 clear steps 7 deliverables you keep
We learn what your software does, who uses it and which parts would hurt most if they failed.
We write the test plan: what we check, on which devices, in what order and how we record results.
We write step-by-step test cases that cover normal use, mistakes and unusual situations.
Our testers use your software like real people would and log every fault with clear steps to repeat it.
We turn repeat checks into automatic tests that run each time your software changes.
We test how the software behaves under heavy use and try common attacks against it.
We summarise results in plain language, then retest every fix to confirm it works.
Tools & technologies
Test tools matched to your stack, so releases ship with confidence.
Expert guide
Software testing and QA services check that software does what it should, keeps working after every change, and stays safe, fast and usable. Testing finds defects. Quality assurance goes further and shapes the process so fewer defects are created.
The practical aim is confidence at release time. A business that can deploy on a Tuesday afternoon without a long list of worries has a quality system that works.
This guide is built around the test mix rather than a service menu: which kinds of tests give the most protection, how to balance manual and automated work, what metrics are worth watching, how testing links to security and accessibility, and how to decide whether to outsource QA.
A complete QA engagement works on three levels. Prevention reviews requirements and designs for ambiguity before code exists. Detection runs the tests that expose defects. Improvement studies escaped bugs and changes the process so they do not repeat.
Businesses usually look for software testing and QA services when releases are delayed by long manual test cycles, when customers find bugs before staff do, when a small change keeps breaking unrelated features, or when an audit or large customer asks for evidence of testing.
A well-known guide is the test pyramid: many fast tests at the bottom, fewer slow ones at the top. Fast tests give quick feedback to developers, and slow end-to-end tests are reserved for critical journeys.
| Test type | What it checks | Typical timing |
|---|---|---|
| Unit | Single functions and rules in isolation | On every code change |
| Integration and API | Components and services working together | On every code change |
| End-to-end (UI) | Complete user journeys through the real interface | Before release, on key paths |
| Regression | Old features still work after a change | Automated, every release |
| Performance and load | Speed and stability under representative traffic | Before launches and major changes |
| Security | Exploitable weaknesses | Continuously and before release |
| Accessibility | Usability with assistive technology | During design and before release |
| Exploratory | Human investigation for the unexpected | Every release cycle |
The classic mistake is the inverted pyramid: nearly all tests are slow, flaky user-interface scripts, which makes the suite expensive to maintain and easy to ignore.
The two are partners, not rivals. Automation is best for checks that repeat, have clear expected results and matter on every release. Manual testing is best for new features, usability judgment and hunting for problems nobody predicted.
Automated tests are software too. They need stable data, clean environments, readable names and an owner, otherwise flaky failures teach the team to ignore red results. Test automation works best when it sits inside a delivery pipeline, which is where DevOps consulting connects to quality. Teams testing APIs can also see API development services.
Shift-left means testing earlier, when defects are cheapest to fix. Testers join requirement discussions, write acceptance criteria with the product owner, and pair with developers on testability. The Scrum Guide (opens in a new tab) expects the team to meet a shared Definition of Done, which is the natural place to write down what tested means.
This fits teams that value working software and responding to change. Each two-week round should produce a tested, demonstrable increment rather than a pile of untested work waiting for a hardening phase.
Counting tests or bugs found says little. Better signals describe outcomes:
Security testing includes automated dependency and code scanning, plus manual probing. Use the OWASP Application Security Verification Standard (opens in a new tab) to decide what to verify and the OWASP Top 10 (opens in a new tab) as a list of common weaknesses. Deep, adversarial work is covered by penetration testing. Pipeline checks are covered under DevSecOps services.
Accessibility testing combines automated scanners, which catch a portion of issues, with keyboard-only checks and screen-reader review against the Web Content Accessibility Guidelines (opens in a new tab). Raising these checks early costs far less than redesigning later.
These examples are illustrative, not Kramate results.
Test environments are a common privacy leak, because teams copy production data into them. Use masked or synthetic data wherever you can, and confirm obligations with legal counsel.
If you outsource, a testing team in a nearby time zone shortens feedback loops: a bug found overnight can be waiting for developers in the morning.
A fixed-price audit or release-readiness check suits a defined need. A dedicated QA team billed monthly suits products in continuous development, and hourly work suits peaks. When you scope software testing and QA services, budget automation as an asset that pays back over many releases, and reserve time for maintaining it.
We can lead testing on a project or join your team. A free consultation comes first, then an estimate within 24 hours, with an NDA before we discuss details. A dedicated project manager shares daily updates on Slack or Teams, and each two-week round ends with a demo or review. Everything we write, including automated test code, becomes your intellectual property. Our working approach explains the steps.
You can choose fixed-price, dedicated-team or hourly engagement. We overlap four to six hours with US Eastern time and a full day with the UK, Australia and Singapore. Our own practices include least-privilege access, encrypted devices, peer code review and regular security testing.
A model recommending many fast unit tests, a moderate number of integration tests and a small number of end-to-end user-interface tests. It keeps feedback quick and the suite affordable to maintain over many releases.
Use both. Automate repetitive checks with clear expected results, especially regression, so every release is verified quickly. Keep people for new features, usability and exploratory testing, where human judgment finds problems that scripts cannot.
When releases wait on testing, when you lack automation skills, when you need peak capacity for a launch, or when an independent view is valuable. Keep product knowledge close and share it with the outsourced team.
Track escaped defects, time to detect and fix failures, flaky test rate, critical-journey coverage and delivery measures such as change failure rate. Avoid rewarding raw counts of tests or bugs.
It means moving quality activities earlier: testers join requirement discussions, acceptance criteria are written before coding, and tests run with every change. Defects are found while they are still cheapest to fix.
Look for a risk-based test strategy, clear defect reporting with steps to reproduce, sound automation habits, careful handling of test data, and written ownership of all test assets and documentation.
FAQ
Cost depends on application size, platforms and browsers or devices, manual versus automated coverage, test types (functional, performance, security), release frequency and whether QA is a one-off or ongoing. Automation costs more upfront but pays back through repeated runs.
We review the product and risks, write a test strategy, build test cases, run manual and automated tests, and report. Length depends on application size, release cycles, test environment readiness and how many defects the team needs to retest.
Kramate signs an NDA before detailed discussions, and testers work under it with your pre-release software. We transfer test cases, automation scripts, reports and frameworks to you. Test data is handled under your rules, and we prefer masked or synthetic data.
Yes. Our testers can use your tracker, repositories and CI pipeline, join sprint ceremonies and report defects in your format. Automated tests run on each build so problems surface soon after a change, not at the end.
Most products need both. Automation suits repetitive checks like regression, while manual testing finds usability issues and new-feature problems that scripts miss. We start with high-value automation and keep exploratory testing for areas where human judgement helps.
Typical types include functional, regression, integration, usability, compatibility, performance and security testing. The mix depends on your risk. A payments app needs deeper security and load checks than an internal tool. We build a plan around where failures would hurt most.
We track requirement and risk coverage, defects found by severity, defects that escape to production, automation stability and test run time. These trends show whether quality is improving. We share clear reports so release decisions are based on evidence.
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