Ladder of Inference
โM๐ ๐บ๐ฎ๐ป๐ฎ๐ด๐ฒ๐ฟ ๐๐ฎ๐น๐ธ๐ฒ๐ฑ ๐ฝ๐ฎ๐๐๐ฒ๐ฑ ๐บ๐ฒ ๐๐ถ๐๐ต๐ผ๐๐ ๐๐ฎ๐๐ถ๐ป๐ด ๐ต๐ฒ๐น๐น๐ผ, ๐ ๐บ๐๐๐ ๐ฏ๐ฒ ๐ถ๐ป ๐๐ฟ๐ผ๐๐ฏ๐น๐ฒโ
We all know that trust is the foundation of any high-performing team - whether you're managing portfolios, programs, or projects. Without it, success is tough to achieve.
The first step in building or rebuilding trust is understanding what causes mistrust.ย
During our Ignite Big-Room Planning Workshops, we dedicate time to helping teams better understand each otherโs communication and working styles, leveraging theย Insightsย Discovery diagnostics.ย Robert Cassย often refers to the Ladder of Inference, developed by Harvard professor Chris Argyris.
The ladder of inference is a model that illustrates how people make decisions by going through a series of steps. It's a way to understand how people interpret events and take action based on their beliefs and assumptions.ย
Steps of the ladder of inferenceย
1) Observable Data: What we see or hear.
2) Selecting Data: We filter the data based on personal experiences, beliefs, or values.
3) Adding Meaning: We attach meaning to the data based on our own context.
4) Making Assumptions: We make assumptions based on the meaning we've assigned.
5) Drawing Conclusions: We form conclusions about people, situations, or events.
6) Adopting Beliefs: We adopt beliefs based on our conclusions.
7) Taking Action: Our actions are based on our beliefs.
The ladder of inference can help people avoid jumping to conclusions and make better decisions. We can analyse each step of the process by asking ourselves what we are thinking and why.ย
This model helps teams recognise how quickly they can make assumptions and jump to conclusions, often without realizing it. By slowing down and reflecting on how we process information, we can create more open, transparent communicationโa critical element of building trust.
Teams need to recognise that everyone operates from a different set of beliefs, assumptions, and experiences. Often, misunderstandings arise because people jump too quickly up the ladder, especially when they don't fully understand the data or make assumptions based on incomplete information.
Robert Cass ๐ข ๐ก / ๐ต ๐ด,ย Sushrut Kamath,ย Jason Wu,ย Annie Spiteri,ย Devon White,ย Anthony Kandi,ย Betty Trajkovski,ย Simone Hambrook,ย Robert Hogeland
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