Decisions drive vision, strategy, execution, evaluation, problem-solving, performance, and continuous improvement.1 A decision is an irrevocable commitment of time and resources. Every decision has an opportunity cost—the loss benefit of the better option not chosen or not considered (see SDG.
Introduction At the San Francisco Department of Public Health, Population Health Division, we promote Decision Quality (DQ) [1,2]. DQ starts by knowing what a good decision looks like.
In Part 1 we introduced directed acyclic graphs (DAGs)  as a better way to represent program theory . A DAG is a Bayesian network where each directed arrow represents a causal link, not merely a probabilistic dependency .
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