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Simon’s Weigh-In
Sharing Recommendations from Deep Research on My Own Products
One of the parts of my work that I value most is sharing recommendations that come from deep research on my own products. When I create, refine, or present something, I do not want my advice to be based only on guesswork, trends, or surface-level opinions. I want it to come from real understanding. That means studying the market, listening to customers, comparing alternatives, and testing what actually delivers value. Through that process, I am able to make recommendations that feel grounded, practical, and reliable.
My research usually starts with curiosity. I want to understand what people truly need, what challenges they face, and what they expect from a product like mine. To do that, I look closely at customer reviews, competitor products, industry insights, and the experiences of real users. This helps me move beyond what is merely popular. It allows me to identify what is missing, what is misunderstood, and what could be done better. Very often, the strongest recommendations come from noticing the small but important gaps that others overlook.
Because this research is tied directly to my own products, the recommendations I share carry a deeper level of meaning. I know what my products do well, but I also understand why those strengths matter in real situations. I can explain not just what a feature is, but who it helps, when it is most useful, and how it compares with other options available. That makes the recommendation more than a statement of preference—it becomes a clear and informed guide for someone trying to make the right decision.
Honesty is an essential part of this process. Deep research should never be used only to justify or praise what I have created. It should also reveal limitations, define the right audience, and show where a product may not be the best fit. I believe this kind of honesty is what makes recommendations truly valuable. People are not just looking for promotion; they are looking for clarity. When advice includes both strengths and boundaries, it becomes more trustworthy, and trust always matters more than exaggerated claims.
I also enjoy the way research transforms knowledge into service. Gathering information for my own use is helpful, but turning that knowledge into guidance for others is far more rewarding. When I recommend a product, a feature, or a specific use case, I am not simply trying to sell something. I am sharing a conclusion that has been shaped by careful study, practical experience, and thoughtful intent. In that sense, recommending becomes a way of helping others move forward with more confidence.
In the end, sharing recommendations from deep research is meaningful to me because it brings together passion, expertise, and usefulness. It reflects the effort I invest in understanding both my products and the people they are designed to serve. That is why I enjoy it so much: it gives me the opportunity to offer advice that is not only enthusiastic, but also informed, honest, and dependable.
