cross-page-analyzer

Cross-page accessibility pattern detection works by analyzing aggregated audit findings from multiple web page scans. It identifies systemic, template-level, and page-specific issues, calculating weighted risk scores to reveal root causes in shared components.

The best way to generate a comparative accessibility scorecard is to aggregate multiple web page audit findings and compute weighted risk scores. This yields a comparative report highlighting key metrics, severity grades, and trends across the audited pages.

To track WCAG remediation progress across a website, you compare current aggregated accessibility findings against baseline data. This classifies issues as Fixed, New, Persistent, or Regressed, providing clear tracking of your accessibility fixes over time.

Yes, you can compute a severity score for web accessibility findings. The analysis calculates a weighted risk score from 0 to 100 and assigns a corresponding letter grade from A to F to each page based on the identified issues.

Yes, this pattern detection approach works specifically for template-level accessibility issues. By analyzing aggregated findings from multiple page audits, it isolates systemic flaws originating from shared layouts and components.