A compliance dashboard should show the data that answers four questions at a glance: where conformance stands today, what issues remain open, how remediation is progressing, and what documentation is ready for review. The most useful compliance dashboard data combines audit findings, scan results, remediation status, and reporting outputs in one view, so accessibility, product, and legal teams can act from the same source.
| Data Category | What It Shows |
|---|---|
| Conformance Status | Current WCAG version and level being measured, with an overall view of how the product stands against it. |
| Issue Inventory | Open issues by severity, WCAG criterion, page or screen, and assigned owner. |
| Remediation Progress | Issues fixed, validated, and outstanding, with time-based trends. |
| Scan and Monitoring Data | Latest scan results, scheduled scan history, and changes between scans. |
| Documentation Readiness | Status of audit reports, ACRs, accessibility statements, and policy documents. |
Conformance Status
The first piece of compliance dashboard data should be the conformance target. A dashboard that tracks against WCAG 2.1 AA looks different from one tracking 2.2 AA, and the displayed criteria should reflect that selection.
Above the criterion-level detail, a summary view shows how the product stands overall. This is not a single score. It is a breakdown of criteria that pass, criteria with open issues, and criteria not yet evaluated.
Issue Inventory
Open issues are the working layer of the dashboard. Each issue should be tied to a WCAG success criterion, a location (page, screen, or component), a severity rating, and an assigned owner.
Filtering matters here. Teams need to view issues by severity to prioritize remediation, by criterion to identify patterns, and by owner to track accountability. A dashboard that only shows a flat list of issues forces teams to do this sorting outside the platform.
Severity should reflect both user impact and risk factor. A blocking issue on a checkout flow carries different weight than the same criterion failure on a rarely visited page.
Remediation Progress
Issue counts alone do not show momentum. The dashboard should track issues fixed, issues validated by an accessibility professional, and issues still in progress, with timestamps that allow trend reporting.
Validation is the step where a fix is confirmed to resolve the original finding. A dashboard that shows fixes without a validation state can overstate progress. Separating “developer marked complete” from “validated” prevents that.
Time-based views are useful for leadership reporting. Showing remediation velocity over weeks or months gives a clearer picture than a static count.
Scan and Monitoring Data
Scan data belongs on the dashboard, but with appropriate context. Scans evaluate HTML, CSS, and ARIA attributes against a subset of WCAG success criteria and flag approximately 25 percent of accessibility issues. The remaining 75 percent requires manual evaluation.
A useful scan panel shows the latest scan results per page or template, the scheduled scan cadence, and changes detected since the previous scan. Change detection is what turns scans into monitoring. New issues that appear after a deployment are the signal product teams need.
Documentation Readiness
The final data category covers the documents that compliance work produces. Audit reports, Accessibility Conformance Reports (ACRs), accessibility statements, and internal policy documents all have a status: drafted, under review, published, or due for update.
Procurement teams and legal reviewers often request these documents on short notice. A dashboard that surfaces document status and last-updated dates removes the scramble that happens when a request comes in.
What Compliance Dashboard Data Should Not Include
A compliance score expressed as a single percentage tends to mislead more than it informs. Scan-based scores reflect only what scans can detect, and rolling everything into one number obscures the difference between a passing criterion and an unevaluated one.
Vanity metrics that count scans completed or pages crawled, without tying those activities to conformance outcomes, add noise. The dashboard should reflect the state of the product, not the activity of the tool.
Roles and Views
Different roles need different cuts of the same data. A developer wants open issues filtered to their assigned components. A program lead wants remediation velocity and documentation status. A legal reviewer wants conformance posture and the location of current ACRs.
A compliance dashboard that supports role-based views from a single data layer keeps everyone working from the same record, which is the point of having a dashboard in the first place.