Episode #34 - Decision Frameworks for Uncertainty

In today’s episode, Vishal breaks down three decision-making frameworks built for situations when the data isn’t enough. He shares a few field-tested decision-making frameworks successfully used for military strategy, climate forecasting, and product development. You’ll learn when to aim for robustness over precision, when one more user test is just procrastination, and how to prepare for multiple plausible futures without building a 40-slide deck. If uncertainty’s holding your decision hostage, then this episode hands you the keys.References:1) Info-Gap Decision Theory: Decisions Under Severe Uncertainty: https://en.wikipedia.org/wiki/Info-gap_decision_theory2) Efficient Calculation of the Expected Value of Sample Information: https://arxiv.org/abs/2401.173933) Shaping the Next 100 Years: New Methods for Quantitative, Long-Term Policy Analysis: https://www.rand.org/pubs/monograph_reports/MR1626.html4) Using Scenarios to Explore the Future: https://www.shell.com/energy-and-innovation/the-energy-future/scenarios.html5) Decision-making under Deep Uncertainty: https://en.wikipedia.org/wiki/Decision-making_under_deep_uncertaintyMusic Credit: Switch It Up, performed by Silent Partner, from the YouTube Studio Audio Library