- A model is a miniature representation of something.
- It is a description or analogy that helps us to visualise something we cannot directly observe
- A system of postulates, data, and inferences presented as a mathematical description of an entity or state of affairs.
There are two types of models
Confirmatory Models: Used for Prediction and Control -- cannot use them in complexity context.
Exploratory Models: Insight & Understanding [Sense making].
There is only ONE criterion for a Model -- Does the Model help me Make Sense of the world? (Insight and understanding)
How detailed / rigorous should a model be?
Usefulness of a model depends on the complexity of the person's mind (analysing the problem) and the environment / situation (context) within which they find themselves.
Simple and Complicated Models
There is only ONE criterion for a Model -- Does the Model help me Make Sense of the world? (Insight and understanding)
How detailed / rigorous should a model be?
Usefulness of a model depends on the complexity of the person's mind (analysing the problem) and the environment / situation (context) within which they find themselves.
Simple and Complicated Models
[Prince 2 Process :-) ]
Note: Models are never perfect. Usefulness is context-dependent. It depends on the people and environment. (My interpretation -- therefore it is very important to understand whether the Agile framework you are recommending (Scrum / Kanban / or another) really aligns with the product development / project you are working on).
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