Mental Model Calibration
Making internal models visible, comparing them, and refining them against reality.
Practice Area > Knowledge Structures
Design methods that shape how knowledge is structured so people can find it, understand it, and use it in real work.
Knowledge structures define how ideas are named, related, and made usable.
They are not just categories or taxonomies; they are the scaffolding that makes understanding possible across people and systems.
This practice area focuses on:
When knowledge is well-structured, people can:
“When a knowledge structure is so flexible that it can be applied effectively even in new domains or extremely novel situations, it is called “far transfer".”
“Learning to see the structures within which we operate begins a process of freeing ourselves from previously unseen.”
“If you only focus on the technical side, then you won't get anywhere. Because every technical decision that you make will have social implications or consequences.”
Natalya Noy
Ontologies make domain meaning explicit so people and systems can share concepts consistently. Ontology Development 101 introduces practical steps for defining classes, relationships, properties, and instances in a usable knowledge model.
Kenny Baas-Schwegler
Good software design requires groups to make domain decisions together. Collaborative Software Design teaches facilitation practices for modeling conversations that surface knowledge, conflict, and shared understanding.
Klaus Krippendorff
Design is shifting from making objects to shaping meanings. The Semantic Turn argues that people interact with artifacts through interpretation, language, and use rather than through function alone.
A structured representation of concepts and relationships that defines shared meaning within a system.
An internal representation of how a system works, used to interpret and act within it.
A visual or structured representation showing relationships between ideas to support understanding.
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A learning journey through the fireswamp of modern knowledge work — where how you learn matters more than what you know.
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