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Foresight5 min

MICMAC²: the indirect influences that decide

MICMAC² computes the indirect influences between variables (the second-order ones), often more decisive than the direct ones. What it is, what it reveals and what it is for.

The influences you can't see head-on are usually the ones that decide the most.

What is MICMAC²

MICMAC² is the phase of the MICMAC analysis that measures the indirect influences between the variables of a system: not how one variable affects another directly, but how it does so through third ones. It’s the part that gives the method its name (Multiplication Appliquée), because it is obtained by raising the matrix of influences to successive powers.

The direct analysis answers “does A influence B?”. MICMAC² answers something subtler and often more important: “does A influence B through C, D or E?”. Those chains of influence are invisible at first sight, yet they usually explain why a system behaves the way it does.

Direct vs. indirect influences

Direct (MICMAC) Indirect (MICMAC²)
What it measures A influences B immediately A influences B through other variables
How it’s computed Matrix of direct influences The matrix raised to powers
What it reveals The obvious structure of the system The hidden chains of influence
Usefulness First reading of the variables Reorders and corrects that first reading

Why they are often more decisive

A variable may look barely influential in the direct analysis and yet be decisive via the indirect route: it influences few variables, but those few move many others. MICMAC² brings to light that “second-order” power the direct analysis cannot detect.

The typical result is that some variables change quadrant: what seemed secondary turns out to be strategic, and vice versa. Ignoring indirect influences leads to focusing effort on the wrong variables.

What MICMAC² reveals

  • Variables that change classification between the direct and the indirect analysis.
  • Hidden priorities: factors that emerge as strategic only at second order.
  • A more robust hierarchy of variables, less dependent on the obvious relationships.

Where it fits in the study

MICMAC² is applied right after the direct MICMAC analysis and refines the selection of critical variables before scenarios are built with KASIM. It’s a quality-control step: it ensures the scenarios are built on the variables that truly matter, not just the most visible ones.

How to apply it

If you want your foresight analysis not to stop at the obvious, the MICMAC² step is the one that reveals what lies underneath. At TacticRisk we apply it in our Strategic Foresight studies and teach it in the Foresight Workshops.

This is the approach we apply in our Strategic Foresight studies.

See Foresight

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