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Deployment examples
nextexpertizer has already established itself in various fields as a practical and expressive tool:
The statements grouped around the semantic space describe the meaning of the various spatial directions.
The original nominations are compressed to form company-specific textual dimensions defining the three-dimensional space's main axes.
An element's average assessment is represented by a sphere.
The comparison elements' heterogeneity is highlighted by dispersion stars. The end points correspond to the individual perspectives.
The greater the distance and angle between the spheres (average values), the greater the assessment deviation.
The closer to the spatial perimeter, the more distinct the element's description, the closer to the centre, the vaguer or more ambiguous.
Assessment averages of all interviewees are displayed within the semantic space. Initial conclusions can be drawn from the position.
By means of the spatial distance to the ideal, company development and the existing need for change comes to light.
With the aid of the determined categories, element profiles can be created and compared.
Despite the compression option, every statement is preserved.
To analyse their specific viewpoints, the interviewed persons can be grouped according to assessment patterns.
Clustering:
Identifying the different camps within a leadership team.
By including individual diversification, indirect yardsticks can be derived.
