❓Asking the Right Questions

Ivan DavidovIvan Davidov
3 min read

📱In the age of Artificial Intelligence and Large Language Models (LLMs) like ChatGPT, Gemini, and Copilot, the landscape of knowledge and problem-solving has changed dramatically.

💡Information is more accessible than ever, but the real value lies not in knowing all the answers, but in knowing how to ask the right questions.


Why Is Questioning So Important❓

🤖 AI as a Tool, Not a Replacement:

LLMs and AI systems are powerful, but their usefulness depends on the quality of the questions we ask. A vague or poorly framed question leads to generic or irrelevant answers. A precise, thoughtful question unlocks deeper insights and creative solutions.

🧠 Critical Thinking & Curiosity:

The ability to question is at the heart of critical thinking. It drives curiosity, exploration, and lifelong learning. In a world where facts are a search away, the skill to challenge, probe, and clarify is what sets innovators apart.

🛠️ Problem Solving:

Every breakthrough starts with a question. Whether in science, business, or daily life, defining the problem correctly—by asking the right questions—is often half the solution.


🧪 Why Questioning is a Core Skill for QA Engineers

Quality Assurance Engineers thrive on curiosity. Their role goes far beyond just finding bugs. Here’s why the art of questioning is so vital for QA professionals:

  • 🕵️‍♂️ Uncovering Hidden Issues: By constantly asking, "What could go wrong?", QA Engineers reveal problems that might otherwise go unnoticed.

  • 🧩 Challenging Solutions: They question, "Is this the best way to solve the problem for the user?", ensuring that solutions are not just functional, but optimal.

  • 🧭 Exploring Edge Cases: By probing, "Are there edge cases we haven't considered?", they help build robust and reliable software.

  • 🎯 Focusing on User Value: QA Engineers ask, "Does this feature truly deliver value to the user?", keeping the end-user experience at the center.

  • 🤖 Leveraging AI & Automation: In the era of AI, asking insightful questions distinguishes exceptional QA professionals—enabling them to use tools to generate better test cases and analyze results more effectively.


🧑‍💻 How is this skill applied in other IT jobs?

  • Business Analysts: Their primary role is to ask stakeholders insightful questions like, "What is the business outcome you need?" and "How will we measure success?" to elicit and define precise software requirements.

  • UX Researchers: They ask users open-ended questions during interviews ("Can you walk me through how you normally do this?") to uncover hidden pain points and motivations that drive user-centric design.

  • DevOps Engineers: They design resilient infrastructure by asking proactive questions like, "What are the single points of failure?" and "How will we know if this service is degraded before it fails?".

  • Product Managers: They define the product vision by constantly asking "Why?" — "Why is this feature important?" and "What is the core user problem we are solving?" — to ensure the team builds what truly matters.


🏫 How Can Schools Teach This Skill❓

  • 💡 Encourage Inquiry-Based Learning: Shift from rote memorization to open-ended projects where students are rewarded for asking insightful questions, not just repeating answers.

  • 🗣️ Model Good Questioning: Teachers can demonstrate how to break down complex topics by asking layered, thoughtful questions that guide students' thinking process.

  • 🛡️ Create a Safe Space for Curiosity: Foster an environment where every question is valued, and students feel comfortable expressing uncertainty without fear of judgment.

  • 🤝 Practice with AI Tools: Integrate LLMs into the classroom, teaching students how to craft clear, specific prompts to get the most out of these powerful tools.


The Future Belongs to the Curious 🚀

As AI continues to evolve, the ability to ask the right questions will become even more crucial. It's not about having all the answers—it's about knowing what to ask, when to ask, and how to keep learning.

"Judge a man by his questions rather than by his answers." — Voltaire

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Written by

Ivan Davidov
Ivan Davidov

Automation QA Engineer, ISTQB CTFL, PSM I, helping teams improve the quality of the product they deliver to their customers. • Led the development of end-to-end (E2E) and API testing frameworks from scratch using Playwright and TypeScript, ensuring robust and scalable test automation solutions. • Integrated automated tests into CI/CD pipelines to enhance continuous integration and delivery. • Created comprehensive test strategies and plans to improve test coverage and effectiveness. • Designed performance testing frameworks using k6 to optimize system scalability and reliability. • Provided accurate project estimations for QA activities, aiding effective project planning. • Worked with development and product teams to align testing efforts with business and technical requirements. • Improved QA processes, tools, and methodologies for increased testing efficiency. • Domain experience: banking, pharmaceutical and civil engineering. Bringing over 3 year of experience in Software Engineering, 7 years of experience in Civil engineering project management, team leadership and project design, to the table, I champion a disciplined, results-driven approach, boasting a record of more than 35 successful projects.