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We present several completely general diversity metrics to quantify the problem-solving capacity of any public policy decision-making process. These metrics can be used alongside existing policy process analysis methods and capture aspects of the policy process that have not been considered before. This is performed by modelling the policy process using a declarative process paradigm. We introduce a class of traces, called first-passage traces, to represent different executions of the declarative processes. Heuristics of what properties a diversity measure of such processes ought to satisfy are used to derive two different metrics for these processes in terms of the set of first-passage traces. These metrics turn out to have formulations in terms of the entropies of two different random variables on the set of traces of the processes. In addition, we introduce a measure of "goodness" that allows for comparisons of policy processes with respect to the prescribed notion of "goodness". [ABSTRACT FROM AUTHOR]