Grid analysis is a tool that allows ranking a decision alternative based on its performance in regards to a certain performance criteria. However, there are certain issues when ranking alternatives. People can rank factors based on personal preference or compensatory heuristics. Preparing qualitative data can reduce dependence on intuition to make an objective decision.
Making an objective decision is very important to reach to a quality decision. Moreover, this focus and depth in analysis can demonstrate the robustness of a decision as the performance criteria are quantitatively measured. Any variation and robustness can be further identified by sensitivity analysis.
At work, This tool is very useful when developing various modifications. if multiple modifications for a machine are developed, GA can help in identifying how each modification perform in the machine various performance criteria. By using technical measures it would be useful to identify the optimal modification based on its overall performance.