Learning Graph
This section contains the learning graph for From Product Manager to Technical Product Manager: A Practitioner's Guide. The learning graph maps all 200 concepts in this textbook and their prerequisite relationships, creating a directed acyclic graph (DAG) that shows how ideas build on each other.
View Interactive Learning Graph
What Is a Learning Graph?
A learning graph is a network of concepts connected by directed edges that indicate prerequisites. Each concept is a node, and each edge means "you should understand this concept before moving to the next one."
- Foundational concepts on the left have no prerequisites — they are starting points like "Product Management"
- Advanced concepts on the right depend on understanding multiple earlier concepts
- The longest learning path spans 11 concepts, from Product Management through to Statistical Significance
The graph ensures that no chapter introduces a concept before its prerequisites have been covered.
Learning Graph Artifacts
Course Description Assessment
Analysis of the course description's completeness and suitability for generating a 200-concept learning graph.
View Course Description Assessment
Concept List
All 200 concepts organized as a reviewable list, each in Title Case with a maximum of 32 characters.
Graph Quality Analysis
Structural validation of the learning graph including DAG verification, dependency chain analysis, foundational concept identification, and connectivity checks.
Concept Taxonomy
The 11 taxonomy categories used to classify and color-code concepts in the learning graph: PM Foundations, Software Development, Technical Documentation, System Architecture, APIs and Integrations, Databases and Data, Agile and SDLC, Quality Assurance, Analytics, AI Tools, and Career Transition.
Taxonomy Distribution
Statistical breakdown showing how 200 concepts are distributed across the 11 taxonomy categories, verifying balanced coverage with no single category exceeding 30%.
Quality Reports
Glossary Quality Report
ISO 11179 compliance assessment of the 200-term glossary including precision, conciseness, distinctiveness, and non-circularity scores.
FAQ Quality Report
Quality metrics for the 80-question FAQ including Bloom's Taxonomy distribution, answer quality, and concept coverage analysis.
FAQ Coverage Gaps
Identifies concepts from the learning graph that are not yet covered by FAQ questions, prioritized by centrality.
Generation Progress
Progress Log
Step-by-step record of the learning graph generation process, from course description analysis through final validation.
Key Metrics
| Metric | Value |
|---|---|
| Total concepts | 200 |
| Foundational concepts | 1 (Product Management) |
| Taxonomy categories | 11 |
| Average dependencies per concept | 1.35 |
| Maximum dependency chain length | 11 |
| Connected components | 1 (fully connected) |