The Schema Profiler maps how a set of underlying components combine into different overall profiles. You define the building blocks — call them dimensions, traits, factors, ingredients, whatever fits — and then create multiple contexts that weight those same building blocks differently. The radar shows each context as a distinct shape, and overlaying them reveals where contexts diverge and where they share structure.

1. Edit the dimensions in the left panel. These are the building blocks you're tracking — attributes, traits, factors, whatever your subject is made of. Add new ones, remove, or drag to reorder.
2. Create contexts below the dimensions. Each context is a scenario, audience, version, or condition — a different way the same dimensions can combine.
3. Set weights using the sliders on the right. Click a context to make it active, then dial each dimension's weight from 0% to 100%.
4. Compare two contexts using the Compare toggle, or Show Ideal State to overlay a target distribution and surface gaps between what is and what you want it to be.
5. Export PDF generates a comprehensive report — per-context radars, dimension rankings, volatility analysis, context similarity matrix, and gap analysis if ideal state is set.

Use anywhere the question is "what shape is this thing, and how does it compare to that other thing of the same kind?" — audience segments, sales rep archetypes, athlete profiles, candidate evaluations, scouting reports, self-perception vs. aspirational self.