AI Quality Scores

4 min readLast updated: Apr 23, 2026

Understanding AI Quality

Propivix tracks the quality and performance of AI-generated content to help you understand how well the AI is working and where improvements can be made.

Quality Metrics

Generation Success Rate

Percentage of AI generation attempts that complete successfully:

  • Target: 95%+ success rate
  • Failed generations are logged for review
  • Retries happen automatically

Content Completeness

How well AI addresses requirements:

  • Does content cover all section requirements?
  • Are key points from RFP addressed?
  • Is appropriate length achieved?

User Edit Rate

How much users modify AI content:

  • Low edit rate - AI content is high quality
  • High edit rate - AI may need better guidance
  • Tracked per section type

Refinement Frequency

How often content goes through refinement:

  • First-draft acceptance rate
  • Average refinements per section
  • Types of refinements requested

Viewing AI Quality Data

Section-Level Quality

For each proposal section:

  1. Open the section
  2. Click the info icon
  3. View quality indicators:
    • Generation timestamp
    • Edit percentage
    • Refinement count
    • User feedback

Proposal-Level Summary

For the entire proposal:

  1. Open proposal settings
  2. Go to AI Insights
  3. View aggregated metrics:
    • Overall AI contribution
    • Most-edited sections
    • Generation timeline

Organization-Level Analytics

For all proposals:

  1. Go to Analytics > AI Quality
  2. View trends:
    • Success rates over time
    • Edit rates by section type
    • Most effective prompts

Improving AI Quality

Better RFP Analysis

Higher quality RFP parsing leads to better generation:

  • Upload complete RFP documents
  • Include all attachments
  • Verify parsed requirements

Improved Assets

Better source material improves output:

  • Comprehensive CVs
  • Detailed project descriptions
  • Updated boilerplate content
  • Clear template instructions

Effective Section Instructions

Guide the AI better:

  • Clear section descriptions
  • Specific requirements listed
  • Target word counts
  • Tone and style guidance

Refinement Feedback

Use refinement effectively:

  • Be specific in feedback
  • Explain what's missing
  • Guide toward desired outcome
  • Build on what works

Quality Indicators

Green Indicators (Good)

  • ✓ High relevance to RFP
  • ✓ Appropriate length
  • ✓ Professional tone
  • ✓ Includes specific examples
  • ✓ Addresses all requirements

Yellow Indicators (Review)

  • ⚠ Generic content
  • ⚠ Missing specifics
  • ⚠ Length mismatch
  • ⚠ Tone inconsistency
  • ⚠ Partial requirement coverage

Red Indicators (Action Needed)

  • ✗ Off-topic content
  • ✗ Factual errors
  • ✗ Missing critical requirements
  • ✗ Inappropriate tone
  • ✗ Generation failure

Best Practices

Regular Review

  1. Check quality metrics weekly
  2. Identify problem patterns
  3. Address root causes
  4. Track improvements

Feedback Loop

  1. Provide feedback on AI content
  2. Mark helpful vs. unhelpful
  3. Report issues
  4. Suggest improvements

Template Optimization

  1. Review section instructions
  2. Update based on performance
  3. Add examples where helpful
  4. Refine word count targets

Asset Quality

  1. Keep CVs comprehensive
  2. Update project descriptions
  3. Refresh boilerplate regularly
  4. Add new case studies

Troubleshooting

AI generating generic content?

  • Add more specific section instructions
  • Include relevant assets manually
  • Provide examples in template
  • Use refinement with specific feedback

Content missing key requirements?

  • Verify RFP was parsed correctly
  • Check if requirements are highlighted
  • Add requirements to section instructions
  • Use refinement to address gaps

Wrong tone or style?

  • Update template tone instructions
  • Provide style examples
  • Use refinement with tone feedback
  • Check business line settings

Frequent generation failures?

  • Check section instruction clarity
  • Reduce section complexity
  • Verify asset availability
  • Report persistent issues

Analytics Reports

AI Performance Report

Generate detailed reports:

  1. Go to Analytics > AI Quality
  2. Select date range
  3. Choose metrics to include
  4. Click Generate Report
  5. Export as PDF or CSV

Insights for Improvement

Reports help identify:

  • Which templates work best
  • Optimal section lengths
  • Most effective instructions
  • Training opportunities

Next Steps

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