Discover your personal understanding of quality. In just 10–15 minutes, you'll explore which associations you make with different quality contexts — and where similarities and differences lie.
Three contexts are shown. Find what two have in common.
Describe the similarity and its opposite.
Place all 10 contexts on the scale.
See your quality understanding as an interactive map.
Create your own constructs using the triadic method (10–15 min.)
See results directly — based on 12 predefined constructs
Click the two elements that share a quality-related similarity. The third automatically becomes the contrast point.
The first two principal components map your quality understanding as a landscape. Elements close together are rated similarly by you. The construct axes show which evaluation criteria point in which direction.
The third principal component reveals nuances hidden in the 2D plot. Rotate the plot by dragging to explore the spatial structure.
Each element is projected onto the axis between Worst Case (0%) and Ideal (100%). This gives you an at-a-glance view of the current state of quality awareness in you or your organization — and how it has changed compared to 5 years ago.
The hierarchical cluster analysis (Ward method) shows which elements have the most similar rating profiles across all constructs. The lower the connection, the greater the similarity.
How much of your quality understanding is captured in each principal component? The cumulative line shows when the essential information is covered.
The matrix shows the pairwise correlations between all elements across all constructs. Dark green means strong agreement, dark red means strong contrast.
All 24 poles (12 positive and 12 negative each) are clustered individually. This reveals which evaluation criteria are substantively related — and whether positive and negative poles are positioned as expected. Dark dots = positive poles, light = negative poles.
All your bipolar constructs — the personal evaluation dimensions through which you perceive quality.
| # | Left pole | vs. | Right pole |
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Enter your Claude API key to receive an automatic interpretation of the axes and concrete action fields based on the construct clusters near the ideal.