Quality Assurance and Performance Testing Services
Structured validation of functionality, performance, resilience, and usability.
Document Sections
Need a tailored scope?
Our specialists adapt this service definition to match your exact technical architecture, software requirements, and compliance mandates.
Speak with an Expert1. Overview – What the Service Is
2. Scope of the Service
Quality Assurance and Performance Testing Services typically includes:
- ✓Functional testing to validate service behaviour
- ✓Regression testing to ensure changes do not introduce defects
- ✓Performance and load testing
- ✓Stress and endurance testing
- ✓Reliability and resilience testing
- ✓User acceptance testing support
- ✓Test planning, execution, and reporting
- ✓Continuous quality monitoring and improvement
3. Data Backup, Restore, and Disaster Recovery
As part of quality assurance activities, backup and recovery processes can be validated to ensure they function as intended. This includes testing restore procedures, verifying data integrity after recovery, and assessing recovery times against agreed objectives. Performance testing may also assess how systems behave during failover or recovery scenarios, providing confidence that disaster recovery plans are practical and effective. No changes to backup policies are made unless explicitly agreed as part of the service.
4. Onboarding and Offboarding Support
Onboarding
Onboarding begins with a clear definition of testing objectives, scope, and success criteria. This includes understanding user needs, business priorities, and technical constraints. Access to test environments and relevant documentation is established securely. Test plans are developed and agreed, outlining test types, timelines, responsibilities, and reporting structures.
Offboarding
Offboarding includes the delivery of test reports, findings, and recommendations. Any test environments or access provided are decommissioned or revoked, and test artefacts are handed over to the customer for future reference.
5. Service Constraints
Testing is typically conducted in non-production environments to avoid service disruption. Production testing may be supported where explicitly agreed and subject to strict controls. The effectiveness of testing depends on the quality of test data and the representativeness of test environments. Constraints or limitations are clearly documented in test reports.
6. Service Levels and Delivery Management
Service delivery is managed through agreed testing schedules and milestones rather than operational SLAs. These include: • Test planning and preparation • Execution of test cycles • Defect reporting and validation • Final reporting and sign-off Progress is tracked, and findings are communicated regularly to stakeholders.
7. After-Sales and Ongoing Support
After completion of initial testing, ongoing support may include: • Regression testing for future releases • Performance benchmarking and trend analysis • Quality metrics reporting • Advisory support for performance tuning and optimisation This ensures that service quality is maintained as systems evolve.
8. Technical Requirements
- Access to test environments and deployment pipelines
- Test data or data generation tools
- Monitoring and performance metrics
- Collaboration with development and operations teams
- All access is granted on a controlled and temporary basis.
9. Outage and Maintenance Management
Testing activities are planned to avoid disruption to live services. Where testing could impact availability, this is communicated in advance and coordinated with operational teams. Any issues identified during testing that could affect production are escalated promptly.
10. Hosting Options and Locations
Testing supports cloud-hosted services across public, private, and hybrid environments. Tests can be designed to reflect regional deployment patterns and user access locations.
11. Access to Data Upon Exit
All test artefacts, results, and reports are owned by the customer. Upon exit, these are provided in agreed formats, and any retained test data is securely deleted.
12. Security and Data Protection
- ✓Use of anonymised or synthetic test data where possible
- ✓Secure storage of test results
- ✓Controlled access to environments and tools
- ✓Compliance with data protection regulations
- ✓Security considerations are embedded into testing activities to ensure quality improvements do not compromise protection.
