Ladder of Inference

The Ladder of Inference, developed by Chris Argyris, describes how we move from observable data to action. It explains why two people can witness the same event and draw completely different conclusions — and how this can lead to poor decisions.

The ladder has seven rungs, from bottom to top:

1. Observable data — The raw facts and experiences
2. Selected data — The data you choose to pay attention to
3. Interpreted data — The meaning you add to the selected data
4. Assumptions — The conclusions you draw based on your interpretation
5. Conclusions — Your beliefs based on those assumptions
6. Beliefs — Your generalized views about the world
7. Actions — What you do based on your beliefs

To use this tool:

• Notice when you're high on the ladder — Are you about to act on an assumption?
• Walk back down — What data led to your conclusion? Is there alternative data you ignored?
• Check your reasoning — Are your interpretations reasonable? Would others interpret the data the same way?

• Data: No email reply in 48 hours
• Selected data: You focus on the lack of response (ignoring that they replied to other emails within hours before)
• Interpretation: They're ignoring you
• Assumption: They don't value your input
• Conclusion: They don't respect you
• Action: You stop collaborating with them

The Ladder of Inference helps you recognize and challenge your automatic thinking patterns. By walking back down the ladder, you can make decisions based on actual data rather than untested assumptions.