Two MoTacon attendees are on the left. The MoTaacon logo is in the center, and to the right a prompt to Get Your Ticket.
Are your highest value skills aimed at the right things? image
  • Ash Winter's profile
  • Simon Tomes's profile
There's a skill in spotting which of your activities are genuinely high value
The standardisation shivers image
  • Melissa Fisher's profile
  • Rosie Sherry's profile
  • Richard Adams's profile
  • Nataliia Burmei's profile
A reflection on the rigidity of templates and checklists
Quality people are truth tellers image
  • Judy Mosley's profile
  • Jessica Mosley's profile
A great conversation on friction, influence and showing up authentically
The forgotten part of quality: paying attention to production image
  • Stuart Thomas's profile
Integrate monitoring, observability, and alerting into the core quality engineering process to ensure systems are as diagnosable as they are functional
Creating a resilient test framework with the Playwright Page Object Model (POM) image
  • Shawn Vernier's profile
Implement the Playwright Page Object Model (POM) to build maintainable, resilient test suites by centralizing page interactions and separating them from test logic.
Quality Engineers do their best work when a team is forming image
  • Ash Winter's profile
  • Simon Tomes's profile
How does a teamโ€™s stage of development influence the style of quality engineering it needs to thrive?
The high cost of stagnant pull requests: moving towards collaborative Quality image
  • Ben Dowen's profile
  • Gary Hawkes's profile
  • Kat Obring's profile
Analyse the risks of stagnant pull requests and adopt a Quality Engineering mindset to reduce technical debt and accelerate value delivery through developer-led testing and faster merge cycles.
Stop delegating your thinking: Using 5 whys to check AI documentation image
  • Cristina Lanca Carrageis's profile
Shift from treating AI as a "single source of truth" to using it as a "clarity booster" for human-led ideas.
What is software quality? image
  • Ady Stokes's profile
Transition from reactive quality assurance to proactive quality engineering by embedding shared responsibility throughout the entire development lifecycle
Speed without guarded verification is risky business image
  • Simon Tomes's profile
  • Charles Penn's profile
AI guardrails: Non-negotiable safety or overly cautious "slowdowns"?
Testing data quality effectively image
  • Bob Salmon's profile
Learn how focusing on user value and trust gives you a clearer, more effective way to test data quality
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