Classical problem-solving is described as a one-dimensional flow: Question → Data → Hypotheses → Research → Analysis → Publication.

But in reality, to produce data-driven model-based decision-relevant insights requires a flock of feedback loops, some of which take significant time and effort. Key Questions need to be developed in consultation with Subject-Matter Experts and with Concerned Customers. Data Collection and Hypothesis Generation are tightly coupled to Modeling and Analysis. Results must be conveyed to End Users who likely will ask new Questions. And ...

(cf Insight Modeling (2019-12-31), LOOPY - Knowledge Organization (2021-09-21), LOOPY - Model Validation (2021-09-24), ...; sketch thanks to LOOPY, an ultralight tool for systems thinking ©2021 MITRE Corporation ...) - ^z - 2021-10-10