Quality Insights aggregates data from every piece of content you've graded. Instead of viewing quality article-by-article, you see patterns:
This dashboard is the control center for ILLIXIS's quality learning system. It shows what the system has learned about your content and lets you confirm or adjust automatic behaviors.
Navigate to Content Hub > Quality Insights from the main menu.
The Quality Insights dashboard is organized into four sections:
Four metric cards show your quality snapshot:
| Metric | What It Shows |
|--------|---------------|
| Issues (30d) | Total issues detected across all content in the last 30 days |
| Fix Rate | Percentage of detected issues you fixed vs. ignored |
| Active Preventions | Number of issue types being blocked in content generation |
| Suppressed | Number of issue types no longer detected |
What good looks like:
Shows issue types awaiting your confirmation. These are patterns the system has identified but won't act on without your approval.
Prevention Candidates: Issues you consistently fix. Enabling prevention adds an instruction to content generation prompts so future articles avoid this pattern.
Suppression Candidates: Issues you consistently ignore. Enabling suppression stops detecting this issue type entirely.
Shows currently enabled prevention and suppression rules. Each rule has a toggle switch.
Prevention rules (green): Issues being actively prevented in content generation. Toggle off to stop preventing.
Suppression rules (gray): Issues no longer being detected. Toggle off to resume detection.
Two visualizations show quality over time:
Issues Over Time: Line chart of issues detected per day (30-day window). Should trend downward as learning improves.
Quality Grade Trends: Average content grade over time. Should trend upward (B- to B+ to A-).
The learning system only acts with your explicit confirmation (except in extreme cases).
When an issue reaches "Ready to Prevent" status:
Example: You've fixed "rhetorical questions" 15 times with a 90% fix rate. The system asks if you want to prevent rhetorical questions. Click "Enable Prevention" and future articles won't use them.
When an issue reaches "Ready to Suppress" status:
Example: You've ignored "passive voice" warnings 12 times with 100% ignore rate. Your academic tone intentionally uses passive voice. Click "Suppress Detection" to stop seeing these warnings.
Toggle off any active learning to revert behavior:
The system reverts to "collecting" status and waits for new patterns.
Analyze multiple articles at once to quickly build learning data.
Each item is queued for quality grading. Analysis takes 2-3 seconds per article.
Use cases:
After starting batch analysis:
Quality Insights correlates your fix decisions with content performance data from Google Analytics.
The "Performance Correlation" section shows:
Example:
| Issue Type | Avg Pageviews | Lift |
|------------|---------------|------|
| Weak Opening | 2,400 | +45% |
| Missing CTA | 1,900 | +22% |
| AI Clichés | 1,750 | +12% |
This tells you which fixes matter most for performance. Prioritize preventing issues with high lift.
Seven days after content publishes:
Result: The learning system trusts patterns from successful content more than underperforming content.
Understanding how quality scores are calculated helps interpret the dashboard.
Each graded content receives scores in 7 categories:
| Category | Weight | What It Measures |
|----------|--------|------------------|
| Substance | 20% | Depth, accuracy, value |
| Voice | 15% | Brand consistency, tone |
| Structure | 15% | Organization, flow |
| Clarity | 15% | Readability, simplicity |
| Engagement | 15% | Hooks, retention |
| SEO | 10% | Keywords, meta data |
| Visual | 10% | Formatting, media |
Quality Insights shows grade distribution across your library:
| Grade | Score Range | Meaning |
|-------|-------------|---------|
| A+ | 95-100 | Exceptional |
| A | 90-94 | Excellent |
| A- | 85-89 | Very Good |
| B+ | 80-84 | Good |
| B | 75-79 | Above Average |
| B- | 70-74 | Average |
| C+ | 65-69 | Below Average |
| C | 60-64 | Needs Work |
| C- | Below 60 | Poor |
Good sign. Learning is working. Prevention rules are reducing issue occurrences.
Expected timeline:
Investigate. Either:
Success indicator. Average grades trending from B- to B+ to A- shows learning is improving quality.
Check fix rate. If you're ignoring most issues, the system can't learn what to prevent. Fix more issues or suppress false positives.
Q: How many articles before learning works? Minimum 10 resolutions per issue type. With regular content creation, expect first preventions after 2-3 weeks.
Q: What if I enabled prevention but issues still appear? Prevention takes effect on new content only. If issues persist after several new articles, the system may need more examples to learn from. Try fixing a few more instances to strengthen the pattern.
Q: Does learning work across all content types? Yes. Prevention instructions are injected into keyword briefs, trend briefs, custom content, and extensions.
Q: How do I reset learning? Toggle off all active learnings from the Quality Insights dashboard. The system reverts to "collecting" status. Historical data remains but stops influencing behavior.
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