Test system resilience by mapping failure paths and running small experiments that reveal what users experience when things fail

Apply a four-dimension framework to assess whether synthetic data can be trusted for performance testing.

Discover how diverse perspectives in testing help reveal hidden bugs and build software that works for more users.

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