The Ladder of Inference Framework
Understand assumptions
The Ladder of Inference Framework is a tool for understanding and challenging assumptions. It involves recognizing the different levels of inference, from data to conclusions, and being aware of one's own biases and assumptions.
- Recognize the different levels of inference
- Challenge assumptions and biases
- Seek out diverse perspectives and data
- Identify the dataGather and analyze the data that is available. Be aware of any limitations or biases in the data.Pro tipSeek out diverse sources of data to ensure a comprehensive understandingWarningRelying on incomplete or inaccurate data can lead to flawed conclusions
- Recognize the inferenceBe aware of the inferences that are being made, and challenge any assumptions or biases that may be present.Pro tipAsk questions to clarify and seek out additional informationWarningFailing to challenge assumptions can lead to flawed conclusions and ineffective decision-making
- Draw conclusionsBased on the data and inference, draw conclusions that are supported by the evidence.Pro tipBe open to revising conclusions as new data becomes availableWarningFailing to revise conclusions can lead to stagnation and ineffective decision-making
A team is discussing a project, and one member makes an assumption about the client's needs. Another team member challenges the assumption, and the team seeks out additional information to support their conclusions.
A manager is considering a new policy, and seeks out input from diverse stakeholders. The manager is able to consider multiple perspectives and make a more informed decision.
The Ladder of Inference Framework was developed by Chris Argyris and Don Schön. The framework is based on the idea that our perceptions and conclusions are often based on incomplete or inaccurate data, and that challenging our assumptions is essential for effective communication and decision-making.