01
Evidence and decision making
How should test results, defects, observations, operational telemetry and user outcomes be transformed into organisational understanding and better decisions?
Human-Centred Quality Initiative
Active Research
The questions, hypotheses and workstreams currently shaping the evolving Human-Centred Quality Body of Knowledge. These are published openly so the development of the Initiative remains visible.
02
Professional identity and pathways
What distinct capabilities should Analysts, Technical Analysts, Leads, Architects and Managers retain, develop and amplify in an AI-enabled profession?
03
Human-centred capability maturity
What would progressive organisational maturity look like when judgement, context, learning, evidence and human outcomes are treated as core quality capabilities?
04
Journey integrity
How can organisations detect when components pass while the end-to-end human journey deteriorates across systems, teams and time?
05
Operational excellence and feedback
How should live-service evidence influence continuous improvement, investment priorities and the next development cycle?
06
Role-specific AI adoption
How should AI learning differ according to where each quality professional creates value, rather than producing an undifferentiated profession of AI generalists?
07
Standards and framework mapping
Where does Human-Centred Quality align with ISTQB, TMMi, CMMI, ISO, ITIL and related professional or organisational models?
08
Acceptance agents and context-aware AI
How might AI-assisted acceptance systems help non-technical stakeholders while preserving organisational context, accountability and journey truth?
Research becomes practice through User Journey Explorer
Where research concerns journeys, evidence, governance and practical implementation, companion material will be developed through User Journey Explorer.
VerityJX frames and develops the body of knowledge. User Journey Explorer tests and demonstrates its practical application.
A research programme improves through challenge.
Share an example, question an assumption or identify a capability the Initiative should explore.
Contribute a perspective