The phrase "a more systematic process" is correct and usable in written English.
You can use it when discussing improvements or enhancements to a method or procedure, emphasizing a structured approach.
Example: "To improve efficiency, we need to implement a more systematic process for handling customer inquiries."
Alternatives: "a more organized approach" or "a more structured method."
If conflicts break out repeatedly, consider instituting a more systematic process of contributing in which everyone takes turns to present their thoughts and all comments are written down for subsequent group review.
We can learn these things through informal conversation, or we can learn them via a more systematic process like having regularly-scheduled, "How can I serve you?" meetings.
Satisficing can also take other forms than randomly answering items and be a more systematic process [ 23].
There had also been a more systematic process of recording problems with particular agency staff and feeding these back to the appropriate agency via the PCT Contracts Manager.
The beauty of this method is that it stimulates a more systematic process of thinking about skill mix issues, instead of the existing ad hoc process of making these decisions.
When I worked for [Sydney-based label] Modular as creative director before the record industry totally collapsed it was a much more systematic process the way album artwork was commissioned.
By the decretals of Innocent III, clerics involved in the death of another person faced a longer and more systematic process.
The taskforce has raised some important issues, but as we move towards setting a post-2015 development goal on education we need to have a much broader and more systematic process to build consensus on the future priorities.
They want Eisner to come up with a more systematic succession process.
Heuristics can interfere with information processing and hinder decision-making when more systematic processes that might lead to better decisions are ignored.
Putting in place more systematic processes for measuring and forecasting progress in the many aspects of AI, combined with interdisciplinary forecasting processes to anticipate the consequences of such progress and preparing or responding to these consequences, will make us better placed to predict and manage possible tipping points13.
