Quality

Overview

Quality is designed into products and services from discovery through operation. These principles address early engagement, clear outcomes, effective automation, responsible AI assistance, risk-based decisions, trustworthy evidence, and improvement informed by data.

Choose a principle below to read its full reasoning.

Principles

Test Automation

Test automation provides repeatable evidence about product and service quality while complementing human judgement.

AI-Assisted Quality Engineering

AI helps quality engineering do more, while people remain responsible for decisions, focus testing on important risks, and check that evidence can be trusted.

Outcome Driven Assurance

Every quality activity has a defined purpose, expected outcome, and basis for evaluation.

Risk-Based Quality

Quality effort is prioritised according to the likelihood and consequence of failure.

Evidence & Reporting

Quality decisions are supported by clear, traceable evidence and reporting suited to its audience.

Quality by Design

Quality is a shared responsibility and is considered from discovery through operation.

Quality Roles & Responsibilities

Explicit allocation of quality activities preserves shared ownership and coherent QA oversight.

Quality Intelligence & Improvement

Quality evidence reveals patterns and drives continuous improvement in products and assurance.

Testability

Systems expose observable behaviour and support controlled, repeatable verification as they change.

Accessibility

Every interface is subject to accessibility requirements and verification throughout its lifecycle.