Collaborative Modeling Workspace
Updated 2026-08-11
INTRODUCTION
English translation pending.
CORE DEFINITION
A workspace where participants externalize their mental models onto a shared visual canvas, contribute and label assumptions, revise the model iteratively, and run consistency checks that expose contradictions. The purpose is to convert assumed agreement into verifiable shared understanding. The key qualification is that the value depends on genuine contribution and on the consistency check: a canvas that one person fills while others watch produces a diagram, not an aligned model. Consistency checking is what turns a drawing into a testable artifact.
SCAFFOLDING EFFECT
Reduce cognitive load
- Shared canvas: put the model where everyone can see and edit it. - Assumption labeling: have each contributor mark the assumptions behind their part. - Consistency check: run an explicit test that looks for contradictions between contributions.
Anchor fast decisions
Mental models are tacit, so people assume agreement until an inconsistency appears in execution, when the cost of the misunderstanding is already paid. Externalizing the models makes each contribution visible and comparable, which allows contradictions to be detected before they are acted on. Iterative revision then converges on a single model that all participants have tested rather than one that was announced.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- doi.orghttps://doi.org/10.1080/08941920.2017.1290178verified
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