FAQ Quality Report
Generated: 2026-01-31 Skill Version: faq-generator v1.0
Overall Statistics
| Metric | Value |
|---|---|
| Total Questions | 72 |
| Overall Quality Score | 88/100 |
| Content Completeness Score | 85/100 |
| Concept Coverage | 78% (234/300 concepts) |
Content Completeness Assessment
| Input | Status | Score |
|---|---|---|
| Course Description | Complete with quality score 91 | 25/25 |
| Learning Graph | Valid DAG with 300 concepts | 25/25 |
| Glossary | 300 terms (excellent) | 15/15 |
| Word Count | ~144,000 words | 20/20 |
Total Completeness Score: 85/100
Category Breakdown
Getting Started Questions
- Questions: 10
- Bloom's Distribution: 60% Remember/Understand, 40% Apply
- Avg Word Count: 62
- Links to Content: 80%
Core Concept Questions
- Questions: 17
- Bloom's Distribution: 30% Remember, 50% Understand, 15% Apply, 5% Analyze
- Avg Word Count: 62
- Links to Content: 94%
Technical Detail Questions
- Questions: 13
- Bloom's Distribution: 40% Remember, 35% Understand, 25% Apply
- Avg Word Count: 50
- Links to Content: 85%
Common Challenge Questions
- Questions: 10
- Bloom's Distribution: 20% Understand, 60% Apply, 20% Analyze
- Avg Word Count: 58
- Links to Content: 70%
Best Practice Questions
- Questions: 8
- Bloom's Distribution: 25% Apply, 50% Analyze, 15% Evaluate, 10% Create
- Avg Word Count: 52
- Links to Content: 75%
Laboratory Skills Questions
- Questions: 7
- Bloom's Distribution: 30% Remember, 40% Apply, 30% Analyze
- Avg Word Count: 48
- Links to Content: 86%
Advanced Topics Questions
- Questions: 7
- Bloom's Distribution: 30% Understand, 40% Analyze, 20% Evaluate, 10% Create
- Avg Word Count: 52
- Links to Content: 71%
Bloom's Taxonomy Distribution
| Level | Actual | Target | Deviation | Status |
|---|---|---|---|---|
| Remember | 18% | 20% | -2% | Acceptable |
| Understand | 35% | 30% | +5% | Acceptable |
| Apply | 26% | 25% | +1% | Excellent |
| Analyze | 13% | 15% | -2% | Acceptable |
| Evaluate | 5% | 7% | -2% | Acceptable |
| Create | 3% | 3% | 0% | Excellent |
Bloom's Score: 23/25 (within acceptable deviation range)
Answer Quality Analysis
| Metric | Actual | Target | Status |
|---|---|---|---|
| Examples in Answers | 31% (22/72) | 40%+ | Below target |
| Links to Content | 79% (57/72) | 60%+ | Exceeds target |
| Avg Answer Length | 54 words | 100-300 | Below target* |
| Complete Answers | 100% (72/72) | 100% | Excellent |
| Anchor Links | 0 | 0 | Compliant |
*Note: Answer lengths are concise but complete. Answers are standalone and address questions fully.
Answer Quality Score: 22/25
Concept Coverage
Covered Topics (78%)
The FAQ covers concepts from all major topic areas:
- Number Systems & Binary Arithmetic
- Boolean Algebra Fundamentals
- Logic Gates & Digital Signals
- Combinational Logic Design
- K-Maps & Logic Minimization
- Sequential Logic Introduction
- Flip-Flops & Timing
- FSM Fundamentals & Applications
- Registers & Counters
- Verilog HDL Fundamentals
- Verilog Modeling
- Testbenches & Simulation
- FPGA & Lab Skills
Key Concepts Covered
| Concept | Question(s) |
|---|---|
| Boolean Algebra | FAQ-006, FAQ-007 |
| Truth Table | FAQ-005 |
| De Morgan's Theorem | FAQ-007 |
| Combinational Logic | FAQ-004 |
| Sequential Logic | FAQ-004 |
| Logic Gate | FAQ-008 |
| Karnaugh Map | FAQ-009 |
| D Flip-Flop | FAQ-010 |
| Finite State Machine | FAQ-011 |
| Moore/Mealy Machine | FAQ-012 |
| Verilog HDL | FAQ-013, FAQ-018 |
| FPGA Architecture | FAQ-014 |
| Setup Time | FAQ-016 |
| Hold Time | FAQ-016 |
| Metastability | FAQ-017 |
| Debouncing | FAQ-022 |
Notable Gaps (22%)
The following high-priority concepts could benefit from additional FAQ coverage:
- Quine-McCluskey Method - Algorithmic minimization
- Carry Lookahead Concept - Fast adder design
- Gray Code Encoding - State encoding alternative
- Ring Counter - Specialized counter type
- Johnson Counter - Twisted ring counter
- Register File - Multi-register arrays
- MTBF Concept - Metastability quantification
Coverage Score: 23/30 (78% coverage)
Organization Quality
| Criterion | Status | Score |
|---|---|---|
| Logical Categorization | 7 coherent categories | 5/5 |
| Progressive Difficulty | Easy → Medium → Hard | 5/5 |
| No Duplicate Questions | Verified unique | 5/5 |
| Clear Question Phrasing | Searchable, specific | 5/5 |
Organization Score: 20/20
Link Validation
| Check | Result |
|---|---|
| Total Links | 57 |
| Valid File Links | 57 (100%) |
| Broken Links | 0 |
| Anchor Links | 0 (compliant) |
Overall Quality Score: 88/100
| Component | Score |
|---|---|
| Coverage | 23/30 |
| Bloom's Distribution | 23/25 |
| Answer Quality | 22/25 |
| Organization | 20/20 |
| Total | 88/100 |
Recommendations
High Priority
- Add 3-5 more questions with examples (currently at 31%, target 40%)
- Consider adding questions for Quine-McCluskey and Carry Lookahead concepts
- Expand answers slightly to reach 100-word minimum where appropriate
Medium Priority
- Add questions covering specialized counter types (Ring, Johnson)
- Include MTBF and metastability quantification in Advanced Topics
- Add more Create-level questions for project-based learning
Low Priority
- Consider adding troubleshooting scenarios for common lab issues
- Add questions about design tradeoffs (power, area, speed)
- Include questions about industry tools and workflows
Files Generated
| File | Purpose |
|---|---|
docs/faq.md |
Complete FAQ with 72 questions |
docs/learning-graph/faq-chatbot-training.json |
Structured data for RAG systems |
docs/learning-graph/faq-quality-report.md |
This quality assessment |