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Simon’s Weigh-In
- Sharing Recommendations from Deep Research on My Own Products One of the things I enjoy most is giving recommendations based on the deep research I have done for my own products. When I create, improve, or present a product, I do not rely only on assumptions or trends. I prefer to study the market, understand customer needs, compare alternatives, and test what truly works. This process gives me confidence, and it allows me to share recommendations that are practical, informed, and trustworthy. My research usually begins with curiosity. I want to know what people are looking for, what problems they face, and what they expect from a product like mine. I explore customer feedback, competitor offerings, industry reports, and real user experiences. This helps me see not only what is popular, but also what is missing. Often, the best recommendations come from noticing small gaps that others ignore. Because the research is connected to my own products, my recommendations are especially meaningful. I know the strengths of what I offer, but I also understand the context in which those strengths matter. Instead of making vague suggestions, I can explain why a feature is valuable, who it helps most, and how it compares with other options. This makes my advice more useful for people who want clarity before making a decision. I also believe that recommendations should be honest. Deep research is not just about proving that my products are good. It is also about understanding limitations, identifying the right audience, and knowing when a product may or may not be the best fit. Honest recommendations build trust, and trust is far more valuable than exaggerated claims. Another reason I love sharing recommendations is that research turns information into service. It is one thing to gather knowledge for personal use, but it is much more rewarding to turn that knowledge into guidance that helps others. When I recommend a product, a feature, or a particular use case, I am not simply promoting something—I am sharing a conclusion shaped by careful study, experience, and intention. In the end, giving recommendations based on deep research is something I value because it combines passion, expertise, and usefulness. It reflects the effort I put into understanding my own products and the people they are meant to serve. That is why I enjoy it so much: it allows me to offer advice that is not only enthusiastic, but also informed and dependable.
