ScholarGate
Assistant
Process / pipelineFutures studies / quantitative forecasting

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.

Open in MethodMindSoonApply, compare, get guidance
Tools & resources
Download slides
Learn & explore
VideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Method map

The neighbourhood of related methods — select a node to explore.

Sources

  1. 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
  2. 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.

Compare side by side

Referenced by

ScholarGateTrend Impact Analysis (Trend Impact Analysis (Probabilistic Perturbation of Extrapolated Trends)). Retrieved 2026-06-24 from https://scholargate.app/en/futures-foresight-studies/trend-impact-analysis · Dataset: https://doi.org/10.5281/zenodo.20539026