Trend Impact Analysis
Trend impact analysis (TIA) is a forecasting method that marries quantitative extrapolation with expert judgment about disruptive future events. Developed by Theodore Gordon and colleagues at The Futures Group in the early 1970s and later codified in the Millennium Project's Futures Research Methodology, it starts from a 'surprise-free' baseline produced by fitting and projecting a historical time series. It then asks which unprecedented events — events with no historical analog that ordinary extrapolation cannot anticipate — could deflect that trend, and with what probability, magnitude, and timing. Through Monte Carlo simulation those probabilistic impacts perturb the baseline, yielding not a single line but a probability envelope that shows how the trend might bend if the unexpected occurs.
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Sources
- Gordon, T. J., & Hayward, H. (1968). Initial experiments with the cross-impact matrix method of forecasting. Futures, 1(2), 100-116. DOI: 10.1016/S0016-3287(68)80003-5 ↗
- Glenn, J. C., & Gordon, T. J. (Eds.). (2009). Futures Research Methodology, Version 3.0. The Millennium Project. ISBN: 9780981894119
How to cite this page
ScholarGate. (2026, June 23). Trend Impact Analysis (Probabilistic Perturbation of Extrapolated Trends). ScholarGate. https://scholargate.app/en/futures-foresight-studies/trend-impact-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Cross-Impact Matrix MethodFutures Foresight Studies↔ compare
- Fisher-Pry Substitution ModelFutures Foresight Studies↔ compare
- Intuitive Logics Scenario PlanningFutures Foresight Studies↔ compare