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Glossary
Scenario planning is a structured method for exploring multiple plausible futures — coherent narratives built from critical uncertainties — so strategies can be tested for resilience. It is not a forecast that picks the most likely future; it is a set of alternative contexts for decision-making under uncertainty.
Point forecasts fail when structural uncertainty is high. Scenarios force leadership to ask what would be true in different worlds, which early indicators would signal a shift, and which moves remain valuable across several futures versus which are brittle bets.
Good scenarios are few, contrasting, and decision-relevant — not dozens of minor variants. They complement expected value (when probabilities exist), robust decision-making (when they do not), and premortems (failure imagination inside a chosen path).
Example (enterprise): An industrial firm builds three demand-and-regulation scenarios for electrification. Capex that pays only in the optimistic case is staged; investments that preserve optionality across all three are prioritized.
Scenario analysis is a broader label that can include narrower quantitative what-if models (for example, sensitivity tables around a base case). Scenario planning, as used here, means structured exploration of a small set of coherent alternative futures for strategy stress-testing — not interchangeable with every what-if spreadsheet labeled “scenario analysis.”
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