Loading content
Scenario planning is a structured method to explore possible futures and their implications. It combines qualitative scenario development, external driver analysis, and strategic assessment to address uncertainty and derive robust options. Teams run iterative workshops to build plausible narratives that improve strategic decisions and investment resilience.
Use this profile to understand the building block briefly, place it in the model, and switch to the 360° assessment when needed.
Executable approach: can be applied and produces an outcome.
What organizes, connects, or makes decisions possible.
Scenario planning is a structured method for developing plausible future images and their implications so that strategic decisions hold up better under uncertainty.
The approach draws on classic methods used by military intelligence and later evolved into a technique for describing the future through story-like “scenarios.” Herman Kahn contributed strongly in the 1950s through his work for the US Military at the RAND Corporation, where he developed the idea of writing the future as if written by people in the future and used the term “scenarios” for these stories. In 1961 he founded the Hudson Institute and expanded his scenario work toward social forecasting and public policy.
Think of scenario planning as exploring multiple credible “scripts” rather than searching for one prediction. First you select assumptions and external drivers that could shape the future. From those, you craft several alternative scenario storylines that are internally consistent—usable for discussion and analysis even if any single future does not occur. You then evaluate strategic implications (for investments, plans, or policy choices) across those storylines and derive options intended to be robust when specific assumptions fail. Iteration tightens scope, drivers, and assessment until decisions are less brittle with respect to uncertainty.
Plausible, unexpectedly important future situations that provide a consistent basis for analysis and decision discussions.
Key factors in the environment that can trigger change; varying them yields different future variants.
Designed simulations that aim to give decision-makers flexibility and adaptation capacity while testing responses.
A structured check of implications so that options emerge from comparing multiple future images.
Because scenario building is heuristic and often subjective, it cannot guarantee correctness; probability handling and self‑influencing predictions can also distort outcomes.
Scenario planning is useful when future change may be qualitative, not just a continuation of current trends—so a single straight-line extrapolation would be too narrow (e.g., long-term strategy, policy development, or investment decisions). It adds value when teams make assumptions explicit and test options across multiple plausible worlds. Limitations matter: scenario planning does not predict; it can be shaped by subjective choices, probability pitfalls, and even “self‑defeating” effects where public knowledge changes behavior and undermines the original premise.
Where this building block is located in the topic model.
Explore how this building block connects to concepts, methods, technologies, and tools.
These sources establish the term and its professional meaning.
All direct connections of the current building block in a compact text view.
This classification shows where the building block typically matters, how demanding it is, and what kind of impact it has in the model.
The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.