What should a privacy-first face analysis report explain first?

We’re preparing iLook’s launch for next Tuesday. iLook turns a user-provided photo into a clear, browser-based report with face-shape context, symmetry signals, Golden Ratio (phi) comparisons, and visual explanations. It is free to use, and developers can explore consent-based API, MCP, and agent workflows. We built it to make visual experiments easier to understand without medical claims. If you try it, what would make the report more useful or easier to interpret?