Focused Assessment
For clearly defined quality questions, risks or assessment of an existing test landscape.
- Defined assessment scope
- Structured assessment
- Prioritized recommendations
- Concrete next steps
Collaboration
Clear collaboration for reliable software quality
Quality engineering works best when objectives, responsibilities, technical constraints and expected outcomes are transparent from the start.
SQMatic therefore works in a structured and transparent way — from assessing quality risks through incremental implementation to documented handover and further development.
Engagement Models
Right-sized for the situation instead of unnecessarily large
The scope follows the actual challenge. A clearly bounded topic can start compactly; larger initiatives are divided into transparent phases.
Project-Based Delivery
For concrete automation, integration or optimization initiatives with a clear target outcome.
- Clear work packages
- Technical implementation
- Regular alignment
- Documented handover
Targeted Team Support
For existing QA and development teams that need additional quality-engineering expertise for defined tasks.
- Aligned responsibilities
- Integration into existing workflows
- Technical support
- Knowledge transfer
Delivery Model
From requirements to a sustainable quality solution
The specific process and scope are agreed to fit the project. The underlying structure remains transparent and easy to follow.
01
Understand requirements
Establish a shared understanding of relevant systems, business processes, objectives and technical constraints.
02
Analyze risks and opportunities
Assess quality risks, test coverage, manual effort and meaningful automation opportunities.
03
Define solution and scope
Agree priorities, expected outcomes, responsibilities and a clearly defined scope.
04
Implement incrementally
Deliver work packages, review interim results regularly and align technical decisions directly.
05
Transfer knowledge and evolve
Hand over results, documentation and open items transparently and make sensible next developments visible.
Introductory Call
What we clarify in the first call
The introductory call frames the current situation: relevant systems and business processes, existing quality assurance, current quality risks and the desired outcome.
01
Which systems or business processes are especially relevant?
02
Where do manual effort, instability or release risks arise today?
03
What test automation and quality assurance already exist?
04
What concrete outcome should the engagement deliver?
Clear Responsibilities
What supports efficient collaboration
Strong technical outcomes are achieved faster when business context, access, contacts and decisions are reliably available.
SQMatic
Technical and methodological responsibility
- Structured analysis of agreed topics
- Traceable technical decisions
- Maintainable and understandable implementation
- Transparent communication of risks and open items
- Documentation of relevant outcomes
Client Side
Business context and organizational access
- Access to agreed systems and information
- Availability of relevant business contacts
- Clarification of internal dependencies and priorities
- Decisions on open business questions
- Feedback on interim results
Working Principles
Pragmatic, transparent and designed for sustainable use
01
Risk over test volume
Relevant quality risks and critical test paths are prioritized — not the sheer number of automated tests.
02
Direct communication
Technical questions and decisions are aligned as directly as possible with the responsible stakeholders.
03
Design for maintainability
Automation should not only work today; it should remain understandable and evolvable for existing teams.
04
Transparent results
Progress, risks, technical constraints and open items are made clearly visible.
Good Fit
When is SQMatic a particularly good fit?
SQMatic is particularly suitable where software quality is technically demanding and needs structured, traceable assurance.
✓
Complex APIs, integrations or event-driven system landscapes
✓
High manual testing or analysis effort
✓
Unstable or hard-to-maintain test automation
✓
Uncertainty around regression and release decisions
✓
Need for additional quality-engineering expertise
Next Step
Let’s discuss your situation in concrete terms.
In an introductory call, we clarify the quality issues that matter now and which engagement model best fits your situation.