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Title & Speakers	Event
Event Quality Engineering meetup #10 2025-12-02
The Ethical Product: Balancing Innovation, Quality and Integrity 2025-12-02 · 17:00 Glen Holmes – VP of Product @ Qase Glen Holmes explores the ethics behind the products we design, test, and release, drawing inspiration from the Jurassic Park dilemma. He discusses how innovation can collide with morality, data misuse, and algorithmic bias, and introduces a practical 6-step framework for ethical decision-making in day-to-day QA decisions. The session will include an engaging, interactive discussion tailored for the QA community, highlighting the moral responsibilities of testers and product managers.
Testing Mobile Analytics for Confident Product Decisions 2025-12-02 · 17:00 Evgenii Sukhanov – Staff iOS Engineer @ Bolt Evgenii Sukhanov shares practical insights on testing product analytics in mobile apps, covering common pitfalls, effective testing strategies and best practices for documentation. The session explains what product analytics is, why it matters, and how missing or incorrect event data can lead to misguided product decisions. Combining developer and QA perspectives, it demonstrates how unit tests, UI tests, and manual validation work together to ensure reliable and actionable data, with concrete tips to improve analytics quality and cross-team collaboration. Analytics
Quality at the End Is Already Lost 2025-12-02 · 17:00 Anna Prinz – Quality Coordinator @ JetBrains Anna Prinz explains why quality should not be treated as something to verify at the end. She shows how teams design for failure via overloaded delivery pipelines, unclear Definition of Ready/Done, and quality gates that protect brands instead of designing systems. The talk connects Conway’s Law, Toyota Flow, Theory of Constraints, and queuing theory to explain why quality comes from how the system runs, not from inspection. You’ll learn to: use shift-left testing, Define Ready/Done to create quality before code is written; apply WIP limits, flow control and queue management to prevent technical debt; read overload signals in your pipeline to avoid shipping faster that slows delivery. The focus is on building a delivery system that produces quality on purpose, not rescuing it at the end.

The Ethical Product: Balancing Innovation, Quality and Integrity 2025-12-02 · 17:00

Glen Holmes – VP of Product @ Qase

Glen Holmes explores the ethics behind the products we design, test, and release, drawing inspiration from the Jurassic Park dilemma. He discusses how innovation can collide with morality, data misuse, and algorithmic bias, and introduces a practical 6-step framework for ethical decision-making in day-to-day QA decisions. The session will include an engaging, interactive discussion tailored for the QA community, highlighting the moral responsibilities of testers and product managers.

Testing Mobile Analytics for Confident Product Decisions 2025-12-02 · 17:00

Evgenii Sukhanov – Staff iOS Engineer @ Bolt

Evgenii Sukhanov shares practical insights on testing product analytics in mobile apps, covering common pitfalls, effective testing strategies and best practices for documentation. The session explains what product analytics is, why it matters, and how missing or incorrect event data can lead to misguided product decisions. Combining developer and QA perspectives, it demonstrates how unit tests, UI tests, and manual validation work together to ensure reliable and actionable data, with concrete tips to improve analytics quality and cross-team collaboration.

Analytics

Quality at the End Is Already Lost 2025-12-02 · 17:00

Anna Prinz – Quality Coordinator @ JetBrains

Anna Prinz explains why quality should not be treated as something to verify at the end. She shows how teams design for failure via overloaded delivery pipelines, unclear Definition of Ready/Done, and quality gates that protect brands instead of designing systems. The talk connects Conway’s Law, Toyota Flow, Theory of Constraints, and queuing theory to explain why quality comes from how the system runs, not from inspection. You’ll learn to: use shift-left testing, Define Ready/Done to create quality before code is written; apply WIP limits, flow control and queue management to prevent technical debt; read overload signals in your pipeline to avoid shipping faster that slows delivery. The focus is on building a delivery system that produces quality on purpose, not rescuing it at the end.

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