Quality remains undefined
Stakeholders use the same word while prioritising different concerns such as usability, correctness, security, reliability, performance, or maintainability.
04 · About Floatger
Quality Commitments
See how Floatger connects quality to context, clear expectations, review, technical care, evidence, and ownership throughout delivery.
The thinking behind the work
Why this commitment matters in practice.
Quality is not a universal checklist or a final testing phase. It is a series of decisions about what matters in this product, how those expectations will influence design and engineering, what evidence is appropriate, and who owns the remaining limitations.
Checks happen at the end
Important edge cases, accessibility needs, security boundaries, and operational concerns appear after the implementation shape is difficult to change.
Evidence lacks ownership
Defects and limitations are recorded, but their impact, priority, decision owner, and release consequence remain unclear.
What it means
Turn a stated principle into observable behaviour.
These points describe the intent behind the working model. Their exact expression is adapted to each engagement and its responsibilities.
01
Clear quality expectations
Identify important behaviour, audiences, data, failure consequences, constraints, and acceptance before relevant work begins.
02
Quality through delivery
Include usability, accessibility, maintainability, security, performance, testing, and operations where they affect decisions.
03
Proportionate evidence
Use review, automation, exploratory evaluation, documentation, and operational checks suited to risk and architecture.
04
Visible limitations
Record unresolved concerns, accepted trade-offs, defects, assumptions, and future actions with appropriate ownership.
In practice
What the working relationship should make visible.
The form can vary, but useful collaboration leaves context that clients and delivery teams can understand, review, and continue to use.
- 01Context-specific quality and acceptance view
- 02Review and verification approach
- 03Evidence for important product and system behaviour
- 04Known limitation and risk record
- 05Documentation and ownership supporting continuity
Shared expectations
Good collaboration needs context from both sides.
These inputs and signals create a practical way to evaluate whether the stated commitment is present in the work.
Context that supports the work
- Critical journeys and behaviour
- Audience, accessibility, data, and security context
- Performance, reliability, recovery, and support needs
- Consequence of failure and acceptable trade-offs
What good practice looks like
- Important expectations influence design and implementation
- Checks exist at suitable system boundaries
- Material issues are prioritised through impact and risk
- Release decisions include evidence and known limitations
An honest boundary
Quality practices reduce risk and improve evidence; they cannot guarantee perfection, universal suitability, or uninterrupted operation. Remaining uncertainty and accepted limitations should be communicated honestly.
How it shows up
A principle carried through the engagement.
Commitments become meaningful through repeatable decisions and behaviours, not only through statements at the beginning.
Define what matters
Connect quality concerns to users, business behaviour, data, architecture, operations, and the consequence of failure.
Plan suitable evidence
Choose review, automated checks, exploratory evaluation, and operational validation around relevant risks.
Review continuously
Evaluate decisions and working increments early enough for evidence to influence the product and implementation.
Make readiness explicit
Summarise evidence, limitations, open actions, ownership, and the basis for a release or continuation decision.
About Floatger
Questions about the approach.
Does quality assurance mean only software testing?+
No. Testing contributes evidence, while quality also depends on requirements, experience design, architecture, implementation, security, accessibility, operations, and ownership.
How is testing effort prioritised?+
Focus follows critical journeys, change risk, data sensitivity, system boundaries, likely failure modes, defect history, and the consequence of incorrect behaviour.
Can every quality concern be automated?+
No. Automation is valuable for repeatable checks, while exploratory judgement, usability, content, accessibility, and operational readiness may require other forms of review.
Who decides whether a known issue blocks release?+
The appropriate product, business, technical, or operational owner should make the decision with a clear view of impact, likelihood, mitigation, evidence, and alternatives.
Start a conversation
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Tell us about the product, the current situation, and the decision you need to move. We will help identify a practical way to begin.