A reflective episode on joining new teams, respecting existing quality processes, asking better questions, naming the work we already do, and using community to turn uncertainty into learning.
A 'good problems' episode about production-testing drama, MoTaverse growth, new voices, lifelong learning, and how community conversations help people keep going.
A community-led episode on job hunting, scaling quality engineering, authentic career growth, AI adoption, gaming, and the value of staying connected when the industry feels noisy or uncertain.
A thoughtful, vulnerable episode about grief, identity, AI, writing, and the emotional cost of trying to influence quality in organisations that don’t always listen.
Judy and Clare trade spicy hot takes, from notification overload and 'done > perfect' learning, to a passionate deep dive on accessibility as a moral (and business) imperative.
A hot-takes episode where the crew debates AI skepticism, manual testing’s staying power, whether AI agents really speed delivery, and why quality ultimately lives (or dies) with leadership decisions.
Simon and Judy celebrate “joy scrolling” in the MoTaverse, swap stories on time-zone chaos and quality moments, and spotlight how community content, chapters, and AMAs turn learning into momentum.
An exploration of why self-advocacy and community are the ultimate survival tools for solo quality professionals.
Celebrate surprise-smooth demos, learn how solo testers spark better quality conversations, and explore “assumption investigating” as a core skill for making work clearer and kinder.
Hear honest job-search and career-change stories, pick up confidence-boosting advice from the community, and enjoy the wonderfully weird side-threads that make the MoTaverse feel like home.
Cut through the AI hype, swap real guardrail stories, and laugh at the rainbow-vomit moments along the way.
Set meaningful goals, communicate quality through risks and real-world consequences, and turn small wins like building a quality narrative into career growth.
Run only tests impacted by code changes. Get feedback faster.
See how Lynqa runs your existing tests as written, captures step-by-step evidence, without code or no-code.
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