Run by consultants who have been testing software since 1999, our Health Check applies a structured, independent methodology to establish how well your testing is working — and what to change first. The service covers the entire testing process, tools, metrics and team across the SDLC, and works equally well in agile, hybrid and sequential environments. Most assessments run to five days; larger or more complex estates typically extend to ten.
Our service covers the entire testing process, tools, metrics, and team throughout the SDLC, aligning with both agile and sequential approaches. Usually a 5-day assessment, it can extend to ten days for bigger or more intricate projects.
A Principal Consultant will typically review:
- QA methodologies and procedures
- Documentation, standards, and templates
- Defect tracking systems, metrics, and KPIs
- Testing tools: management, automation, performance, API testing, security etc
- Use of AI across development and testing
- Test data provisioning, masking and GDPR compliance
- Test environment availability and management
- Integration of testing into CI/CD pipelines
- Accessibility and security testing coverage
- Test team composition and competencies
- Essential test stages, test and release schedules, and testing scope
- Development methodologies (e.g., Agile, Waterfall, Hybrid, V-model)
- Unidentified historical defects and their root causes
- Test Process Improvement (TPI) maturity level
On completion, we present a report of findings, which include prioritised recommendations on areas for improvement with suggested fixes. Industry standard benchmarks are also used to provide a formal measure of maturity of the test process.
Our software testing health check service boosts QA efficiency and provides rapid improvement strategies - we’ve successfully delivered this service across various industries. Our detailed reports include prioritised recommendations that, when implemented, can greatly enhance software quality, making the investment quickly worthwhile.
AI Readiness
Where does AI fit in your delivery?
Development teams are already using AI assistants to generate code; testing teams are being asked to keep pace. Our Health Check assesses both sides.
AI in the development lifecycle — how AI-generated code enters your codebase, and whether your QA gates are calibrated for the volume and defect profile it produces.
AI in the testing lifecycle — where AI can safely accelerate test design, script generation, maintenance and defect triage, and where it adds risk rather than removing it.
Testing AI-enabled applications — if you are deploying GenAI or agentic features, we assess readiness to test for accuracy, bias, drift and prompt injection.
Key Benefits
Cost Efficiency - Identifies opportunities for long-term financial savings in your QA process, ensuring your testing efforts are both effective and budget-friendly.
Quality Impact - Tailored to elevate the effectiveness of your current testing, our service ensures a notable enhancement in application quality, addressing areas that need improvement.
Measurement against Industry Standards - Obtaining a measurement against a benchmark of industry best practice can provide a meaningful way of prioritising improvements in process, automation and team structure.
Rapid Improvement Ideas - Our approach is designed for swift delivery of actionable improvement suggestions, helping your organisation quickly adapt and refine its testing processes for better outcomes.
AI Readiness — a clear, unhyped view of where AI will genuinely reduce cost and cycle time in your QA function, and where it won't.
Speed to Value — findings and a prioritised roadmap within a fortnight of kick-off, at a fixed price.
