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Scenario analysis

How can scenario analysis support strategic choice or positioning?

AccessibleStrategicTeam2 min read
Contents

Scenario analysis, also known as horizon analysis or total return analysis, is a method of projection.

Scenario analysis examines how a decision performs under several internally consistent sets of assumptions. It is a projection and stress-testing method: instead of relying on one forecast, it makes uncertainty visible and compares outcomes, implementation demands and vulnerabilities.

When to use it

Use scenario analysis when a decision is consequential, difficult to reverse or exposed to several uncertain drivers. It can compare strategic directions, countries, locations, markets, capital choices or operating plans.

It is especially useful for questions such as:

  • Which strategic direction remains viable across plausible conditions?
  • Which country or region offers an acceptable balance of opportunity and exposure?
  • Should the organisation open a location, expand an existing one or wait?
  • Should it enter a new market or deepen its current position?

A simple optimistic, pessimistic and base case can test a financial plan, but richer strategic scenarios should differ in causal structure rather than merely applying high and low values to one forecast.

Origins

Scenario analysis has no single origin. It draws from military planning, decision analysis, financial stress testing and the scenario-planning work associated with Herman Kahn and later Royal Dutch Shell. In finance, the term can refer to recalculating value or return under defined changes; in strategy, it often examines coherent external futures and their implications.

What it is

The method specifies a set of conditions, calculates or narrates what follows and compares the decision across cases. It can reveal whether a plan depends on one fragile assumption, requires capabilities not yet available or creates an unacceptable downside.

Scenario analysis does not eliminate uncertainty and it does use historical evidence where relevant. Its distinction is that it does not assume history will repeat mechanically. The scenario logic should combine data, causal reasoning and explicit judgement.

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