Exploring Government that Works

The episode opens by diagnosing a systemic flaw in many state governments: a reaction‑driven, stimulus‑response model where new laws are enacted without clear performance metrics. John M. Bernard highlights that roughly 450 new statutes are introduced annually, creating layers of rules that accumulate into operational waste estimated at 50‑60 percent. This “whack‑a‑mole” approach fuels duplicated, non‑value‑added steps, as illustrated by the Oregon Youth Authority’s overtime crisis, which stemmed from an opaque suicide‑watch process rather than external factors like hunting season. Without measurement, agencies cannot discern whether policies actually solve the problems they target.

Bernard argues that shifting to a results‑driven government requires disciplined measurement, regular review, and targeted improvement. He cites successful interventions such as Arizona’s cross‑system approach to recidivism—linking identification, health insurance, and employment services—and Maryland Governor O'Malley’s data‑backed cover‑crop initiative that dramatically cleaned the Chesapeake Bay. These cases demonstrate that when leaders define clear outcomes, collect reliable data, and hold teams accountable, waste shrinks and public value rises. The discussion also warns that political leaders often discard metrics when results are unfavorable, underscoring the need for transparent, continuous scorecards.

To embed these practices, Bernard recommends creating a Chief Operating Officer role distinct from the political chief of staff. A COO brings systems‑theory expertise, operational oversight, and the ability to institutionalize closed‑loop accountability across administrations. By standardizing scorecards, routine performance reviews, and a culture that counts before it can be accountable, states can sustain reforms beyond election cycles. This operational maturity transforms government from crisis‑reactive to proactive, ultimately improving citizens’ lives and delivering measurable outcomes.