Everything runs 0 to 100 and everything points the same way: higher is better. Each dimension starts at 100, findings subtract from it, and the index is the weighted average of the three. All brands and numbers are synthetic.
Sub-score weights
BSI = (weight x Behavior) + (weight x Trust) + (weight x Momentum). Weights normalize to 100% automatically.
Sample brands (dimension scores 0 to 100, higher = better)
Six synthetic brands, one for each Blind Spot Profile. Edit any value live and watch the profile change.
Weights are placeholders, the real numbers are WI's call, made here by feel. Orientation (0–100, higher = better) is WI's proposal, pending confirmation. The profile below the index is assigned by rule from the gap pattern, in the order WI's definitions imply, first match wins. It is never assigned by the language model.