Surface and test the mental models driving behavior

Make the assumptions behind decisions explicit — they are often the root structural cause.

Why it works

Senge argues that mental models — the implicit assumptions and beliefs people hold about how the world works — are themselves structural elements of organizational systems. When the mental model is wrong, the decisions based on it are systematically wrong in predictable ways. Making mental models explicit (externalized on paper or in conversation) allows them to be tested against reality — turning an invisible structural driver into a testable claim.

How to do it

1. When a team or system keeps producing the same outcome, ask: "What belief about how the world works would make this behavior sensible?"
2. Write that belief as a testable claim.
3. Check whether evidence supports it, and whether alternative beliefs would produce different behavior.
4. Update the explicit model when evidence contradicts it — and check whether behavior actually changes.

Evidence

Mental models as organizational drivers are discussed in Senge and in the broader organizational learning literature. The double-loop learning framework (Argyris & Schön) provides conceptual support: organizations improve faster when they can revise their governing assumptions, not just their actions. (mechanistic)

Mental-model work is time-intensive and organizationally sensitive; surfacing assumptions can create conflict. The payoff is real but not immediate.

Sources

• Argyris & Schön (1978), Organizational Learning — double-loop learning and governing variables
• Senge (1990), The Fifth Discipline — mental models as the second discipline

Common mistake

Surfacing mental models in a blame-assigning way ("you believe X, which is why things go wrong") rather than as a shared inquiry into the system — this triggers defensiveness and shuts down the learning.