How can teams deliver at sprint speed without compromising testing depth?
Why do teams often underestimate the testing effort needed for sprint commitments?
How can QA, dev, and product collaborate better to balance speed and quality?
Do you see any difference in the application of AI, or the balance of speed vs quality in ETL testing vs UI or other testing?
What’s one practice you recommend to avoid last-minute quality compromises before release?
What’s the biggest challenge in testing thoroughly under sprint deadlines?
How can shift-left testing reduce pressure at release time?
What’s the most common mistake teams make when rushing testing?
What metrics have you found most useful to measure the trade-off between release speed and testing thoroughness?
Is it better to release fast with known gaps or delay for thorough testing—and who owns that decision?
How do you prioritize regression tests during time crucnh?
How can we implement through testing by keeping in mind about the release and sprint delivery speed ?
How do you personally define the balance between speed and quality?
How do you communicate to stakeholders that rushing releases can harm long-term quality?
How do you see the balance evolving as release cycles get shorter and CI/CD practices become the norm?
What’s the most overlooked type of testing when teams rush to meet sprint deadlines?
In your experience, what’s harder to recover from: delaying a feature or shipping it with bugs?
How can QA, devs, and product managers collaborate better to ensure quality isn’t compromised by speed?
What’s your approach when the release clock is ticking, but testing reveals something serious? Push back or patch later?
What are the most common trade-offs you have to make between meeting a tight sprint deadline and ensuring a new feature is fully tested and bug-free?