Ladder of inference (Argyris)

The ladder of inference shows how people move rapidly from observable information to selected data, meaning, assumptions, conclusions, beliefs and action. It helps make that reasoning visible before a thin observation becomes a confident but unsupported judgement.

When to use it

Use the ladder when a conclusion feels obvious, conflict is escalating or a decision rests on limited or selectively noticed evidence.

Origins

The ladder is attributed to organisational-learning scholar Chris Argyris (1923–2013) and was later popularised through Peter Senge’s learning-organisation work. It expresses a central Argyris concern: people act from untested theories and defensive routines while believing they are responding directly to facts.

What it is

The rungs are:

• Observable data and experience.
• Data selected for attention.
• Meanings added through context and interpretation.
• Assumptions about cause or intent.
• Conclusions.
• Beliefs that shape future selection.
• Actions.

Suppose Helena is quiet in one meeting. An observer notices only her silence, interprets it as self-interest, assumes she cares only about visibility, concludes that she is not a team player, believes she is unsuitable and excludes her from future meetings.

The chain ignores alternatives: Helena may have listened carefully, lacked relevant information, been interrupted, faced an accessibility barrier or had a reason specific to that meeting. Exclusion then reduces her opportunity to contribute and can create the very pattern the observer expected.