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The 3-circle Venn diagram method visualizes overlaps and intersections between three concepts, stakeholder groups, or data sets. It supports structured analysis, communication, and prioritization of shared and exclusive attributes. In workshops it aids decision-making, gap analysis, and aligning objectives. It is easy to adapt but less suited for very large…
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The 3-circle Venn diagram is a facilitation method for comparing three domains visually. It makes overlaps, differences, and gaps compact and usable.
The method belongs to the tradition of Euler and Venn diagrams for representing set relations. John Venn popularized the form in the 19th century, but the underlying idea is older and was already used to make logical relations and intersections visible. The three-circle variant adapts this principle to facilitation and workshop work so three perspectives can be arranged in a comparable way.
Think of three circles as a shared working surface. Each zone answers a different question: only A, only B, only C, A∩B, A∩C, B∩C, and the center as the strongest common ground. The facilitator places observations into these fields until agreement, conflict, or blind spots become visible.
Overlapping shapes represent set relations so intersections and exclusions become visible at a glance.
Shared traits appear where two or three circles overlap.
Non-overlapping zones show properties assigned to only one domain.
The comparison reveals deviations between current state, target state, and options.
The method helps place stakeholder groups with their own interests and overlaps side by side in an ordered way.
The method is useful in workshops when three options, teams, audiences, or requirements need to be compared quickly — for prioritization, alignment, or an initial gap analysis. It is easy to set up and supports a shared language, but it depends on clearly named categories and a moderated selection of content. When there are many attributes or fine-grained distinctions, the picture can become cluttered; tables or deeper analysis are often more reliable.
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