Three chart types applied to the same Architecture Wheel data. Which reveals the most?
Each column is a deal archetype (sorted high-risk to low-risk, left to right). Each row is a wheel position, grouped by ring. Filled dots mark active positions; vertical lines connect them to show the combination. Frequency bars on the right show which positions define the market — and which never appear at all. Hover to highlight.
Positions with zero frequency (Observable, Available, Buildable, Returned, Transitional, Operating) are the moderate or supplier-friendly options the market doesn't use.
Dark squares are deal archetypes. Coloured circles are wheel positions. Links connect archetypes to their active positions. The simulation pulls archetypes that share positions together — clusters reveal structural affinity. Drag nodes to explore. Hover to highlight connections.
Eight axes, one per key sub-dimension. Each axis has three positions mapped to concentric rings (innermost = first listed, outermost = third). An archetype only extends on axes where it specifies a position — unspecified axes stay at zero. The shape is the deal's fingerprint.
Axis order is arbitrary — but identical across all charts, so shapes are directly comparable. Larger shapes don't mean "worse"; they mean more dimensions are specified.