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This article examines how decision makers can move beyond a single "maximization" goal by considering satisficing, risk minimization, multi‑objective optimization, and regret minimization, offering a richer set of viewpoints for tackling complex, uncertain choices.
The article introduces Zhang Ruimin’s “maximum regret principle,” explains its mathematical formulation using regret matrices and utility functions, and demonstrates its application through a concrete investment decision example that shows how minimizing the worst‑case regret leads to robust choices.
The article explains Jeff Bezos' "Regret Minimization Framework"—a decision‑making method that imagines one’s future self at 80 to choose actions that minimize later regrets—and shows how this mindset drives Amazon’s customer‑obsessed innovations, reverse‑work practices, and long‑term strategic choices.