Clarification: How does Grow's career recommendation algorithm handle non-linear role progression?

Hello,

We are reviewing AI-based career recommendations within Grow with our Talent Lead and have a question about how the AI handles career path progression versus linear job grade hierarchy.

Scenario: A team member favorited a Level 7 role as a career interest. The learning recommendations surfaced in Grow are tied to the Level 9 role than the Level 7 role they favorited.

We understand that Grow's AI matches on rather than job grade hierarchy, but we need official validation to explain this behavior to our stakeholders.

Could you please confirm:

1. When a team member favorites a career of interest, does the learning recommendation engine evaluate skill gaps against only the favorited role's job profile, or does it evaluate gaps across the entire career progression path including high-level roles?