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Don’t count findings. Find consensus. From thousands of findings to the handful of problems that matter.
The Systemic Accessibility Analyzer is a multi-tool analysis and reporting layer for accessibility scan output. It’s built for teams whose websites, applications, or digital estates have more findings than can sensibly be triaged one page at a time.
Scanning tools are good for catching the basics errors (such as low-contrast text, missing image alternative (alt) text, missing form input labels, empty links, empty buttons, missing document language), that I still (unfortunately) find during course of audits and review.
- Low Contrast & Missing Alt Text: Poor text contrast affects nearly 84% of homepages, while missing image descriptions blind screen readers.
- Form & Label Failures: Over half of all pages miss proper form labels, preventing assistive tools from explaining what data to enter.
- Empty Elements & Languages: Empty links and buttons leave users clueless about actions, while missing page languages break screen reader pronunciation.
Though output from these tools can be dauntingly comprehenasive, and it can be awkward to present findings in a format that is disgestible and actionable.
Rather than treating every scanner result as an isolated defect, the analyzer brings reports together, normalizes the data, identifies likely overlaps, groups repeated patterns, and highlights the fixes most likely to improve many pages or components at once.
The goal is to make findings easier to understand, prioritize, and act on - not to produce a larger pile of data.
From issue volume to useful priorities
Automated tools are good at finding individual instances. They are less helpful when the same underlying problem appears dozens or hundreds of times across a site.
For example, a contrast failure on the home page, product page, basket, and checkout may not be four unrelated defects. It may be one shared button style that needs to be fixed just once.
The analyzer surfaces these distinctions, helping you quickly answer:
- Pattern tracking: Which issues are repeated across multiple pages?
- Shared sources: Which findings come from a shared component, template, or pattern?
- Cross-tool verification: Which problems are corroborated by more than one tool?
- Debt concentration: Which pages or components carry the greatest concentration of accessibility debt?
- High-impact fixes: Which fixes will remove the broadest class of issues first?
Core Capabilities
The analyzer processes reports from multiple accessibility tools and turns them into a shared, unified analysis model.
Data processing & cleanup
- Format support: Automatically detects and loads supported report formats.
- Data normalization: Organizes findings into a consistent, predictable structure.
- WCAG mapping: Maps scanner rules to WCAG criteria, levels, and human-readable titles.
- Smart deduplication: Removes likely overlapping results from different tools on the same page.
- Review preservation: Keeps helpful “needs-review” findings separate from confirmed violations.
Systemic analysis
Pattern inference: Identifies likely components, component groups, templates, and shared patterns.
- Systemic clustering: Groups repeated findings into actionable clusters.
- Smart metrics: Calculates overlap, confidence, spread, and prioritization metrics.
- Dual outputs: Generates both a static visual dashboard and an analyst-friendly spreadsheet workbook.
Why use more than one tool?
Different accessibility tools have different strengths, rule sets, and ways of representing results. Running several tools improves coverage, but it can create noise: duplicated findings, inconsistent labels, and messy comparisons.
The analyzer makes wider evidence usable. It currently supports report families including axe-core, axe-scan, IBM Accessibility Checker, Lighthouse, Oobee, UUV, Pa11y, and HTMLCS / html-sniffer.
- Where tools overlap: The analyzer blends the findings together into one clear issue.
- Where tools are uncertain: Potential or manual-review results retain their distinction rather than being falsely flagged as confirmed failures.
The Outputs
The Dashboard
The dashboard provides a high-level view of your analyzed estate. It helps teams move quickly from raw data volume to the areas most worth investigating.
Key dashboard views
- Summaries: Issue volume and affected-page breakdowns.
- Compliance metrics: WCAG criteria and conformance-level breakdowns.
- Confidence scores: Cross-tool overlap metrics to show where tools agree.
- Hotspots: Component heatmaps, top problem types, and issues-per-page.
- The Priority Panel: A dedicated Fix Once, Benefit Many prioritization grid.
- Page Inventory Check: A vital validation step to verify the coverage of your collected reports before interpreting the wider data.
- Drilldowns: Searchable, paginated views for inspecting the raw findings behind each chart.
The Visual Explorer
The Visual Explorer is a unique feature of the Systemic Accessibility Analyzer, providing an interactive and visual representation of your website’s accessibility issues. It’s designed to be a conversation starter and help identify areas that require human attention, and to capture what automated tools frequently miss.
- Context & Quality Checks: Scanners easily check if alt text or headings exist, but they cannot tell if the description makes sense.
- Navigation & Focus Issues: Automation struggles to test whether keyboard-only users can logically tab through custom pop-ups and menus.
- Human Readability Barriers: Code checkers cannot evaluate if your text relies on heavy jargon or complex layout designs that confuse readers.
Visual Explorer Sections
- Virtual Screen Reader: Simulate a screen reader experience, helping you understand how your website behaves for users with visual impairments.
- DOM Tree: Visualize your website’s structure and relationships between elements, making it easier to identify A11y issues.
- Keyboard Tab Map: Map your website’s keyboard navigation, helping you ensure a smooth user experience for those with motor impairments.
- Color Contrast Checker: Compare your website’s color contrasts against WCAG 3.0 guidelines, making it easier to identify areas for improvement.
- Colorblindness Checker: View your website through the eyes of a user with color vision deficiency, helping you identify potential issues.
The Workbook
The exported spreadsheet workbook provides the detailed data layer behind the dashboard. It’s built for hands-on accessibility reviews, technical handoffs, and downstream reporting workflows.
What’s inside
- Management views: Clean, high-level summary sheets.
- Enriched data: Detailed issue rows with enriched rule and WCAG fields.
- Actionable shortlists: Systemic cluster analysis and Fix Once, Benefit Many priority lists.
- BI-ready data: Flat, Power BI-friendly tables with fact and dimension sheets for relational reporting.
This makes it easy to move seamlessly from an executive overview into filtered developer triage without losing the technical evidence behind the headline numbers.
What “systemic” means here
A systemic issue is a repeated finding pattern where one remediation change improves many instances across a site. This includes:
- Design-system component bugs
- Repeated page template issues
- Recurring content structure problems
The analyzer does not assume every repeated issue has the exact same root cause. Instead, it highlights reusable remediation targets so your team can investigate them efficiently.
A practical workflow
- Scan: Run your accessibility scanners and collect their report files.
- Build: Generate the normalized dashboard and workbook output using the analyzer.
- Verify: Check the page inventory to confirm your expected scan coverage.
- Review: Inspect the dashboard for concentrated problem areas and high-value fixes.
- Triage & Handoff: Use the workbook for deeper technical triage and developer handoffs.
- Track: Re-run the tool after remediation to measure changes in volume and systemic impact.
Important Limitation
Automated coverage remains partial. A broader tool stack improves coverage and confidence, but it does not replace manual testing or human judgment.
Critical areas like alt-text quality, meaningful link wording, logical focus order, error recovery, semantic clarity, and cognitive accessibility still require human review.