Evidence, not activity
Defects, observations, telemetry, risks and outcomes matter because of what they help an organisation understand and decide.
Version 0.1 · Foundation stage
An open programme developing the body of knowledge, capability models, professional pathways and practical methods needed to redefine software quality for an AI-accelerated world.
To redefine software quality as a human-centred, evidence-driven discipline that enables better organisational decisions, while providing practitioners with the capability models, professional pathways and practical methods needed to thrive in an AI-accelerated world.
Test execution, defect detection and pass/fail reporting are visible and necessary, but they are only the tip of the quality discipline.
Defects, observations, telemetry, risks and outcomes matter because of what they help an organisation understand and decide.
Quality evidence should continue into live service, revealing how journeys perform and where operational excellence can improve.
What is learned through delivery and operation should shape priorities, designs, capabilities and investment in the next development cycle.
The work is deliberately broader than a testing framework and is designed to complement, not replace, recognised standards and bodies of knowledge.
The purpose, principles and language needed to explain why software quality is an organisational decision-making discipline.
Organisational maturity, role-specific competencies, observable behaviours and connections to established frameworks.
Methods, patterns, user journeys and practical guidance developed with UserJourneyExplorer as the implementation companion.
The Foundation release establishes the programme publicly. The detailed content will be developed and versioned rather than presented prematurely as finished doctrine.
The founding argument: QA evolves from execution towards orchestration, stewardship and journey integrity.
Progressive organisational capabilities for human-centred, evidence-driven software quality.
Distinct expectations for Analysts, Technical Analysts, Leads, Architects, Managers and adjacent quality professions.
Connections to ISTQB, TMMi, CMMI, ISO, ITIL and related professional and organisational models.
How quality data becomes understanding, informs operational excellence and shapes the next development cycle.
User journeys, governance, patterns and tooling developed through User Journey Explorer.
This is a programme of progressive releases. Each stage will preserve what came before while making the body of knowledge more complete and practically useful.
Mission, manifesto, founding publication, research questions and public initiative home.
Initial maturity model, capability areas and role-specific professional pathways.
Standards mapping, evidence model, practical patterns and community review.
A coherent, versioned reference joining philosophy, capability and implementation.
How does quality enable better decisions rather than merely report test outcomes?
Which responsibilities continue to depend on judgement, context, ethics, empathy and accountability?
What should different quality professions retain, develop and amplify with AI?
How should delivery and operational evidence inform continuous improvement and future development?
VerityJX develops the Initiative. This is where the mission, capability model, professional pathways, publications and research agenda live.
User Journey Explorer is the implementation companion. It will show how the principles are applied through journeys, evidence, governance, continuous improvement and practical methods.
Challenge the assumptions, contribute examples, identify gaps or help shape how human-centred quality should develop.
Contribute to the Initiative