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FAQ Quality Report

Generated: 2026-02-08 Source: Course description, 200-concept learning graph, 200-term glossary, 15 chapters (~93,000 words) Output: docs/faq.md

Content Completeness Assessment

Input Status Score
Course description (title, audience, Bloom's outcomes) Complete, quality score 91 25/25
Learning graph (200 concepts) Complete 20/25
Glossary (200 terms, 9,900 words) Complete 15/15
Total content (~124,500 words across all docs) Excellent 20/20
Concept coverage (15/15 chapters written) 100% 15/15

Content Completeness Score: 95/100

Overall Statistics

Metric Value
Total questions 92
Total word count 23,877
Average answer length 260 words
Chapter links 80
Anchor links (violations) 0
Example mentions 46
Categories 6

Category Breakdown

Category Questions Target Status
Getting Started 12 10-15 Pass
Core Concepts 28 20-30 Pass
Technical Details 20 15-25 Pass
Common Challenges 12 10-15 Pass
Best Practices 12 10-15 Pass
Advanced Topics 8 5-10 Pass

Bloom's Taxonomy Distribution

Level Actual Target Deviation
Remember 16% 18% -2%
Understand 30% 30% 0%
Apply 25% 24% +1%
Analyze 17% 16% +1%
Evaluate 8% 8% 0%
Create 4% 4% 0%

Total deviation: 4% (well within 10% target)

Bloom's Distribution Score: 25/25

Answer Quality Analysis

Metric Value Target Status
Answers with examples ~50% 40%+ Pass
Answers with chapter links 87% 60%+ Pass
Average answer length 260 words 100-300 Pass
Complete standalone answers 92/92 (100%) 100% Pass
Anchor link violations 0 0 Pass

Answer Quality Score: 25/25

Organization Quality

Criterion Score
Logical categorization 5/5
Progressive difficulty 5/5
No duplicate questions 5/5
Clear, searchable question phrasing 5/5

Organization Score: 20/20

Concept Coverage

Concepts covered in FAQ: ~165/200 (82.5%)

Key concepts addressed across all categories include graph databases, nodes, edges, properties, Cypher, employee event streams, ETL pipelines, data quality, organizational modeling, ethics/privacy, centrality algorithms, community detection, NLP, sentiment analysis, machine learning, graph neural networks, influence detection, silo detection, flight risk, mentoring matching, dashboards, and end-to-end pipelines.

Notable uncovered concepts (low priority): - Calendar Events - Mobile Device Events - Desktop Activity - Software Application Logs - Login and Logout Events - Directed Acyclic Graphs - Weighted Edges - Modularity (mentioned but no dedicated question) - Motif Detection - Label Propagation (mentioned in context)

These are leaf-node or supporting concepts well covered within the chapter content itself.

Coverage Score: 25/30

Overall Quality Score

Component Score Max
Coverage 25 30
Bloom's Distribution 25 25
Answer Quality 25 25
Organization 20 20
Total 95 100

Validation Summary

Check Result
All 6 categories present Pass
92 questions (target 80-100) Pass
No duplicate questions Pass
Zero anchor links Pass
All chapter links use correct paths Pass
Markdown syntax valid Pass
Questions are searchable and specific Pass
Answers are standalone and complete Pass

Recommendations

Low Priority

  1. Consider adding 2-3 questions about calendar events and meeting pattern analytics
  2. Consider a dedicated question on directed acyclic graphs in organizational context
  3. Consider adding a question about motif detection for structural pattern analysis
  4. The Core Concepts section has 28 questions (slightly above the 25 target) - this is acceptable given the breadth of the topic

Session Summary

Created FAQ with 92 questions across 6 categories covering 82.5% of concepts. Overall quality score: 95/100. Added ~46 examples and 80 chapter links. Zero anchor link violations. Bloom's Taxonomy distribution within 4% of targets.