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Learning Graph Generation Progress

Project: From Product Manager to Technical Product Manager: A Practitioner's Guide Date: 2026-02-09

Generation Steps

Step 1: Course Description Assessment

  • Analyzed course description against quality criteria
  • Score: 95/100 (exceeds 70-point threshold)
  • Estimated 200+ concepts could be derived
  • Created course-description-assessment.md

Step 2: Concept Enumeration

  • Generated 200 concept labels covering all 14 chapters
  • Organized across PM foundations, software development, architecture, databases, APIs, analytics, and career topics
  • Verified Title Case formatting and 32-character maximum
  • Created concept-list.md

Step 3: Dependency Graph

  • Created directed acyclic graph (DAG) mapping prerequisite relationships
  • Identified 1 foundational concept (Product Management)
  • Ensured no circular dependencies
  • Created learning-graph.csv

Step 4: Quality Validation

  • Ran graph analysis scripts to validate structure
  • Verified: 0 cycles, no self-dependencies, 1 connected component
  • Average dependencies: 1.35 per concept
  • Maximum dependency chain: 11 levels
  • Created quality-metrics.md

Step 5: Concept Taxonomy

  • Developed 11 taxonomy categories with 3-5 letter abbreviations
  • Categories: PMFND, SWDEV, TCDOC, SARCH, APINT, DBASE, AGILE, QATST, ANLYT, AITOL, CARER
  • Balanced distribution with no category exceeding 30%
  • Created concept-taxonomy.md

Step 6: Taxonomy Assignment

  • Assigned taxonomy IDs to all 200 concepts in CSV
  • Updated learning-graph.csv with TaxonomyID column
  • Created taxonomy-distribution.md report

Step 7: JSON Generation

  • Converted CSV to vis-network JSON format
  • Created learning-graph.json with 200 nodes and edges
  • Added metadata section with Dublin Core fields
  • Created metadata.json

Files Created

File Description
course-description-assessment.md Course description quality analysis
concept-list.md 200 enumerated concepts
learning-graph.csv Complete dependency graph with taxonomy
learning-graph.json vis-network JSON for visualization
quality-metrics.md Graph structure validation report
concept-taxonomy.md 11-category taxonomy definition
taxonomy-distribution.md Category distribution analysis
metadata.json Dublin Core metadata
progress.md This generation log

Key Metrics

  • Total Concepts: 200
  • Foundational Concepts: 1
  • Taxonomy Categories: 11
  • Average Dependencies: 1.35 per concept
  • Max Dependency Chain: 11 levels
  • Connected Components: 1 (fully connected)
  • Course Description Score: 95/100