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Version: 1.0.5

Analysis Score

AI-powered document quality assessment.

What is Analysis Score?​

Analysis Score is an advanced tool that analyzes your requirement documents using artificial intelligence, provides quality scores, offers improvement recommendations, and performs benchmark comparisons. It evaluates your document quality with objective metrics on a scale of 0-100.

Analysis Score

Analysis Process​

1. Template Selection​

Select a pre-built template (Standard, Agile Focused, Technical, User-Centric) or create a custom template with your preferred metric weights.

2. Custom Metrics​

Add custom metrics beyond the standard ones. Define your own evaluation criteria tailored to your organization's needs.

Adjust metric weights with sliders (total must be 100%). Custom metrics allow you to evaluate documents based on specific requirements, industry standards, or internal quality criteria.

3. Processing​

AI analyzes your document through stages: Document Parsing, Content Analysis, Quality Evaluation, and Report Generation. Progress is shown in real-time with estimated remaining time.

4. Results​

View overall score (0-100), score breakdown by metrics, AI recommendations with priorities, and benchmark comparison with company and industry averages.

Analysis Score Metrics​

Standard Metrics​

The analysis evaluates four standard metrics, each weighted at 25%:

  • Clarity: Clarity and comprehensibility
  • Scope Definition: Scope definition quality
  • Acceptance Criteria: Acceptance criteria quality
  • Technical Consistency: Technical consistency

Custom Metrics​

Beyond the standard metrics, you can create custom metrics tailored to your organization's specific needs and quality standards.

Custom metrics allow you to evaluate documents based on industry-specific requirements, regulatory compliance, internal quality frameworks, or any other criteria important to your organization.

Define metric names, descriptions, evaluation criteria, and default weights. Configure AI prompts for metric evaluation and set validation rules. Custom metrics can be added to templates and used in analysis scoring alongside standard metrics.

Adjust metric weights with sliders to ensure the total equals 100%. This flexibility allows you to prioritize metrics that matter most to your organization's document quality standards.

Score Interpretation​

80-100: Excellent (Green)​

High-quality document with clear requirements, well-defined scope, complete acceptance criteria, and technical consistency.

60-79: Good (Blue)​

Acceptable quality with minor improvements needed. Most requirements are clear but some areas need refinement.

40-59: Fair (Yellow)​

Document needs significant improvements. Multiple areas require attention to meet quality standards.

0-39: Poor (Red)​

Document requires major revisions. Critical issues need to be addressed before proceeding.

AI Recommendations​

After analysis, AI provides prioritized improvement recommendations with priority badges (Critical, High, Medium, Low), detailed explanations, expected score improvement impact, and estimated time to implement.

Recommendations are categorized as Quick Wins (5-15 min), Moderate Improvements (15-60 min), or Major Enhancements (1-4 hours).

Benchmark Comparison​

Compare your document score with company average (last 50 documents) and industry average.

View percentile information showing where your document ranks and identify improvement potential.