Learning to Question: A Mindset for Building Products in Uncertain Times
The most important thing I learned at university was not how to find the right answer—but how to question the answers I thought were right.
After graduating from school, I joined an IT consulting industry and now work as a Product Manager on frontier, AI-driven technologies. The products I work on evolve quickly, the expectations are high, and clear best practices often do not exist. In this environment, uncertainty is not an exception, but it is the default.
As a Product Manager, my responsibility is to guide teams forward even when clarity is incomplete. Many of the challenges I face today do not come with proven templates or clear precedents. Technology advances rapidly, competitors move fast, and decisions must be made before the “right” answer is obvious. This constant tension between speed, accuracy, and learning defines much of my work.
In situations like these, assumptions are everywhere.
One of the most valuable things I gained from my university experience was a research-oriented way of thinking. In many classes of GSEP, rather than starting from conclusions, we were trained to start from questions. We learned to build hypotheses, test them, and evaluate results critically. At the time, this approach felt academic. Looking back, it is exactly what allows teams to make progress when best practices are still being written.
In product development, assumptions hide in many places: assumptions about user needs, system behavior, priorities, and even what “success” looks like. The real risk is not being wrong, but being unaware of what we are assuming. A research mindset helps turn uncertainty into something manageable by making assumptions explicit and testable. It allows teams to learn faster than their competitors, even when the ground is constantly shifting.
This mindset is closely connected to another skill I developed during my studies: being comfortable reading, questioning, and abstracting technical content. In my current role, I regularly engage with complex technical documents, design proposals, and performance analyses. I am not expected to know every detail, but I am expected to understand what truly matters, challenge unclear reasoning, and communicate implications clearly to different audiences.
Product improvement, much like research, is a continuous loop. You observe a problem, form a hypothesis, test a solution, and reflect on the outcome. This cycle creates momentum even when no established playbook exists. Strong reasoning and evidence-based thinking are what allow teams to stay competitive while technology continues to evolve.
For prospective/current students, I would encourage you to focus on the mindset you are developing. Tools will change, and short-term trends will come and go. But the ability to question assumptions, reason under uncertainty, and think beyond immediate pressure will continue to open doors, especially in fields where the future is still being defined. Good Luck!
Ornida Kraiwuttianant, graduated GSEP in 2021
“The ability to question assumptions, reason under uncertainty, and think beyond immediate pressure will continue to open doors.”