Initially, a question to be decided is put in front of governance, for example whether or not to incubate a potential candidate project, on the appropriate subDAO forum. Then, data is collected, analyzed (often using models), and thoroughly discussed. Following discussion, it may become clear that more evidence is required before making a decision, in which case there's a mini-feedback-loop that takes the process back to the data collection phase, since additional supporting evidence is required. Or perhaps there is consensus in the community that there is enough evidence (this can be done through informal polling or other signaling), then the decision proceeds to a binding vote. Once the action is taken on the decision, the new activity will generate new information, that can be considered in future decisions. This is clearly a simplification because in practice, data is never perfectly clean, and Data Collection involves sourcing and cleaning data, and often transforming the format to something more amenable to the analysis step. Additionally, several of these decision processes may be occurring simultaneously concerning different issues before the DAO.