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Asymmetric Clustering Matrix

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The “Asymmetric Clustering Matrix” relates the values of two different entities and maps them into a visual matrix.

Typically, this method is used in the synthesizing or analyzing phase within an innovation project. In doing so, the project participants hope to,

Gain new insights and derivations for ideation by relating entities – like different users with different touchpoints – or other things.

The “Asymmetric Clustering Matrix” enables systematic analyses, supports comparisons, makes relationships and dependencies visible, provides transparency and trades large amounts of data.

Registered users will find a detailed description of how to use the method in a meeting or workshop context in the next section. Registration is free of charge.

In addition to this description, you will find complete instructions on how to use the method in a team meeting or workshop in the Innovation Wiki. All you need to do is register free of charge and you will have access to this and more than 700 other methods and tools.

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