This master thesis is a story. A story about algorithmic decision-making processes and myself, both, evolving within this paper to a new meaning. It all starts from the basic assumption that language might be insufficient when trying to explain complex phenomena like algorithmic decisions. Another basic belief is that the organization itself, never is embedded within a stable conceptual ground. Therefore, I included personal vignettes, so that at least my storytelling stays stable within this writing. It is my claim, that demonizing algorithmic decisions resembles demonizing human decisions. We do not have to fear algorithmic decisions since algorithms are just another tool humankind decided to use for communicating and decision-making. Neither do algorithms make decisions on the black-boxed basis of magical machine learning. The essence of this writing pictures, that it is still us who decide through these machines. This master thesis will introduce readers to differing and (im)possible understandings of algorithmic decision-making processes by highlighting various viewing angles. Furthermore, this thesis offers new ontologies of algorithmic decisions, new ideas, new thoughts, which might open up other windows for readers. How can we develop a more sensible understanding of algorithmic decision-making processes? This is the guiding question throughout this thesis. With sensible, I mean a more complex; a more responsible understanding of algorithmic decisions. The question, which follows then, is: How are we making algorithmic decisions nowadays? The answer is simple: We do it differently.