Dashboard Charts and Metrics Guide

Guide to the current dashboard cards, charts, panels, and drilldown behavior.

Dashboard Charts and Metrics Guide

This guide explains how to read and interpret the analyzer's primary metric cards, interactive charts, panels, and drilldown systems. It directly accounts for the updated WCAG Support Coverage panel, strict WCAG-only charting boundaries, friendlier human rule labels, companion modules, and paginated searches.

Recent dashboard changes: Added the WCAG Support Coverage panel, executed WCAG chart data cleanups, integrated friendly human rule labels, launched dedicated companion view subpages (screenshots, virtual screenreaders, tabbing tracks, contrast logs), and enabled full text-search, sizing, and pagination on drilldowns.

How to read the dashboard overall

The interface is structurally structured to help you diagnose four core aspects of your digital estate's accessibility health:

  1. Volume: How much total issue volume currently exists?
  2. Concentration: Where physically are those issues clustered?
  3. Systemicity: How much of the problem footprint is systemic and reusable?
  4. Action: Which specific fixes will eliminate the most errors simultaneously?

The top metric blocks render an immediate snapshot, chart modules illustrate pattern patterns, wide grid panels validate the loaded source files, and interactive drilldowns let you audit the exact code flaws hiding behind a chart bar or data row.

Companion pages around the dashboard

The dashboard functions as the hub of a modular web ecosystem. These integrated companion subpages allow you to jump instantly from aggregate numbers down into direct, visual page-level evidence:

💡 Note: These programmatic views do not replace expert manual evaluations, but they make it significantly easier to audit and verify what the high-level dashboard is summarizing.


Top metric cards

The top of the workspace groups high-level summaries into functional buckets to limit data overwhelm:


Main chart and table panels

Tool Agreement Profile

Illustrates how frequently your testing engines agree on issue rows, overlap within the same engine family, or stand completely alone. This functions strictly as a data corroboration tool, not an absolute source of truth.

💡 Reading Rule: Cross-family multi-tool agreements take priority over intrafamily loops[cite: 9]. If sibling engines overlap but a distinct tool family matches them, the item registers under cross-family agreement.

WCAG Support Coverage

A reference matrix tracking the high-level testing breadth of your active scanner configurations. Treat this as a guide to your stack's potential capability, not an ironclad guarantee that a specific run tested every rule.

Top Problem Types

Rolls localized component issues up into wide, highly actionable functional buckets to establish an immediate problem-space footprint:

Component Heatmap

Pinpoints exactly which inferred user interface components are triggering the highest volume of errors[cite: 9]. Labels are automatically humanized on the charts, while backend lookups maintain raw component keys[cite: 9]. Treat these as intelligent troubleshooting clues rather than a flawless UI directory.

WCAG Rule Breakdown

Renders a refined compliance view displaying only valid WCAG success criteria. Raw developer tool IDs and messy engine debug strings are stripped out.

Issues per Page

Highlights your most heavily broken page URLs so you can instantly separate isolated page-specific bugs from site-wide template errors.

Critical Trust Check: Page Inventory Check
Validates your cross-tool page scanning coverage before you evaluate the wider dashboard metrics. If this panel flags page mismatches, common culprits include URL redirects, heavy hash fragments, tool-specific string normalization, or isolated engine pipeline timeouts.

Fix Once, Benefit Many

A prioritized shortlist ranking the exact repeated patterns most worth fixing first. This acts as the most action-focused, execution-ready view on the entire dashboard.


Drilldown behavior

Clicking an interactive chart element or priority task row automatically flies out the targeted drilldown workspace for that filtered data subset.

Standard attributes rendered in this table view include: human rule label, page URL, component group, issue scope tier, matching pattern, tool source, DOM selector track, unique fingerprint, and code message[cite: 9].


Interpreting overlap and coverage carefully

Automated Scope Reminder: Dashboard metrics represent organized technical evidence, not an absolute verdict on accessibility quality. Automated stacks drastically optimize engineering speed, but full validation requires manual testing and human evaluation.

Suggested dashboard reading order

  1. Verify the Dataset: Evaluate the Page Inventory Check panel first to guarantee data matching across files.
  2. Locate the Footprint: Review **Top Problem Types** and the **Component Heatmap** to see where bugs cluster.
  3. Isolate Compliance: Scan the **WCAG Rule Breakdown** to extract numbers for official compliance tracking.
  4. Assess Consensus: Check the **Tool Agreement Profile** to evaluate how your active engines match up.
  5. Build the Sprint: Launch the **Fix Once, Benefit Many** module to extract your top remediation tasks.
  6. Inspect the Code: Click deep into bars or data lines to use paginated drilldowns for technical rows.
  7. Audit Visual Evidence: Transition to the integrated companion views to cross-examine metrics against screenshots, focus maps, virtual screenreader data, or raw contrast sheets.