Asymmetric Clustering Matrix

Type of record:
  • Micro method
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Ideal innovation phases for this method:
  1. Innovation Phase
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5
  7. 6
  8. 7
  9. 8
  10. 9
  11. 10

Description

The "Asymmetric Clustering Matrix" compares the values of two different entities and maps them in a visual matrix.

Typically, this method is used in the phase of synthesizing or analyzing within an innovation project. The project participants hope to achieve this,

Gain new insights and derivations for idea generation by correlating entities - such as 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.
  • Effective for disruptive innovations
  • Effective for highly complex challenges
  • Effective for medium complex challenges
  • Effective for new business models
  • Effective for process innovations
  • Effective for radical innovations
  • Effective for service innovations
  • P2 Analysis (problems - challenges - environment - people - products)
  • P4 Synthesize (create leading questions - take a stand)
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