Now that I have collected a considerable amount of personal data, I realize that these data may not be universally applicable. Through my self-study, I found that analyzing the reasons behind my negative emotions provided profound insights into myself. Therefore, I conducted an investigation into how others come to understand themselves.

I engaged in directed storytelling, posing the question: "Can you share an experience of getting to know yourself (discovering another side of yourself)?"

I discovered that most often, this introspection begins after experiencing intense emotions. Some people reflect on their atypical behavior, while others contemplate the words spoken during arguments. Additionally, some individuals gain new insights following significant events such as breakups or major exams. However, most reflection takes place when they are relatively alone; even if it occurs after an argument, it's usually after they've calmed down.

The results of these interviews confirmed that the method I used for self-analysis had a certain degree of universality.

Following this, I conducted a small test that I referred to as "break your shortcoming." By asking participants about a weakness, then encouraging them to think about its opposite, and finally recalling experiences that support the positive side, I aimed to break people's stereotypical impressions of themselves. I wanted to convey that what individuals perceive as weaknesses might not necessarily be true shortcomings, as there are always examples supporting the positive side.

Overall, it was an exercise that potentially breaks stereotypes about oneself to some extent. However, developing it into a design still requires the incorporation of more elements. I've noticed that the design progress seems to have been stagnant in the research phase. This test appears more experimental, serving to confirm predetermined results. To move beyond this, I need to develop new design points.