Insights

What a darts team taught me about building high-performing quality teams

Browsers keep four different pictures of your page at once, and automation bugs live in the gap between them.

What if showing up was enough, because the rest is already built for you?

Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to bias, adversarial and explainability testing.

Are you measuring your worth by the wrong thing entirely?

What would change if the work you are proudest of was actually seen?

A one-word shift that opens up quality thinking

Every question you ask during testing is the seed of the next one.

Exploratory testing, risk-based thinking, benchmarking: the same approaches, aimed at a new kind of system

The MSTA technical learning model brings motivation, strategy, task management and attitude together

What actually sustains technical learning once the novelty fades?

AI amplifies the good and the bad, so where should your team start?

Lightly plan every exploratory testing session before you dive in

What if everything you learned became evidence of your growth?

The whole team can interactively explore the vulnerabilities worth probing. Before an attacker does.

The whole team can interactively explore the numbers worth testing

The tool that makes your testing easier might be the same one cutting you off from the team that builds the product.

What if the tools we use to stay on top of things are quietly making us worse at our jobs?

The five risk categories to navigate before, during, and after an AI migration.

When the implementation of AI leads to lower quality