Use these structured prompting techniques to improve the quality and usefulness of AI output in testing workflows

A look at the structure and responsibilities of a whole-team quality approach

A look at the structure of embedded quality engineering teams

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and transparency in AI-driven systems

It’s more than just a name change. An exploration of the thinking and stories of quality people making the shift.

Relationships and social capital as a core driver for leadership

Avoid these mistakes to build automation that survives UI changes, validates outcomes properly, and provides useful feedback.

A worksheet to help you evaluate your Quality Engineering skills

A look at the structure and responsibilities of a centralised quality engineering team

Is there a point where test artefacts can cause a project to fail?

Identify blind spots created by AI-driven testing and prevent false confidence in testing outcomes