What is a Correct Process?

Individuals always feel hesitated whether what they are sharing is correct and in the context of the topic or not. Being correct can be understood it is about saying the answer shows an output, that can be validated by the inputs. Here you are speaking in a situation with limited dimensions, which is about certain inputs and specific outputs leading to certain results. These inputs can be magnified by seeing the impact that can be created from each input. The situation will always be limited by the inputs and if there are any inputs from external factors integrated with the situation. Here you can see the situation at least between some visual dimensions.

Talking in every situation the correct answer will be found in an existing input or a missing input that you need to find. That missing input can be derived from an existing input. The missing input can appear from a failure, which is a certain error acting as a boundary where its solution will be exposing that missing input. Here correctness can take time until it is revealed. The process will be progressing normally and it will be corrected on its own. The process has started correctly, and it will keep moving forward with the effort in a correct way. Moving forward in a correct process you won't be stopped.

Having an error in that process means there something incorrect has occurred and it is very simple, but sometimes simplicity needs to be highlighted to know the base meaning of the correctness. It can be called a correct process will be autocorrected as long as you are progressing correctly. The autocorrecting here is the existence of the error that reveal the missing input that will cause the correctness. The error will appear automatically, but the correctness will need effort from the team. Correctness here appeared from a missing input. Correctness from an existing is about the wrong mapping between that input and the output. It means the input has been utilized in the correct way to give the required output.

Correctness here is stated in a defined situation with inputs and outputs. Talking in a wider dimension with a bigger situation with more dimensions, complicated inputs, and multiple integration points. The idea of correctness here is getting more complex. It will be the same procedure of mapping the inputs to the outputs and then utilizing the inputs to generate the output. Here the dimension gets wider and the missing inputs number increases more largely.

Complicated input will always be an input. It is about seeing the point of complication in that input and how it is going to affect the output. Complicated inputs can give you multiple true points, that need to be addressed. More dimensions occur from the areas, that can be opened from the inputs. Multiple inputs can exist, but each input takes you in a certain direction. Correctness here is fading away. Auto correctness can be used as a solution by progressing normally and letting the errors expose the missing inputs. Here the missing inputs can be dependent on other missing inputs. Here the complication is increasing with the process. It is important to build the process on a solid organized base to be able to trace the inputs and reach to correctness.

Reaching correctness here needs some extra effort, a planned process, and studied inputs. Each input should be isolated as an entity, just a block. Start analyzing that input with all its dependencies and its dimensions. Move forward with each input until it is completely filtered and has no extra data to add. Build your information database from the required inputs. The process cannot proceed without the correct base that will ensure the process will be correct, so you can have the errors that reveal the correct missing inputs. Multiple dimensions need to be narrowed down with the inputs.

Expanding dimensions is needed in the discovery phase to know how the inputs can help generate the output. The idea is to not get lost in the dimensions, you need to know from where to start to be able to have a starting point, not a starting point. Starting points can cause distraction, but correctness is about having one start point and building on it the rest of the complementing points. Reaching to the correctness can be controlled by certain clear inputs and outputs.

Correctness gets harder when the inputs are more complicated. There is one rule that never changes starting correctly will make you have the correct errors that reveal the correct missing inputs. Dimensions are narrow or wide, just start with analyzing the inputs in the correct way to have the correct starting point. The process correctness is defined by how you are filtering the input and taking every added value from them.