Learning Graph for AI Persona Testing

Open Learning Graph Viewer Fullscreen

This section contains the learning graph for AI Persona Testing for Marketing Professionals. The graph maps 400 concepts and their prerequisite relationships so learners can follow coherent paths from AI and customer-research foundations to a complete, scalable persona-testing system.

Each concept is a node in a Directed Acyclic Graph (DAG). An edge points from a concept to knowledge that should be understood first. The graph includes 14 taxonomy groups, 958 dependency edges, and two foundational entry points.

Course Description

The Course Description defines the course scope, audience, weekly progression, and Bloom-aligned learning outcomes used to select the concepts.

Learning Graph Files

• Concept List enumerates the 400 reviewed concept labels.
• Learning Graph CSV contains concept IDs, labels, dependencies, and taxonomy assignments.
• Learning Graph JSON provides metadata, groups, nodes, and edges for a vis-network viewer.
• Concept Taxonomy defines the 14 primary categories.
• Course Description Assessment records the 100/100 input-quality assessment.
• Graph Quality Metrics validates the DAG structure and learning pathways.
• Taxonomy Distribution reports category counts and balance.

The interactive viewer supports concept search, taxonomy filtering, connection highlighting, and live graph statistics.