The most valuable metrics in accessibility analytics are conformance rate, issue severity distribution, remediation velocity, and scan coverage. These four data points, tracked consistently, give you a clear picture of where a digital asset stands and whether progress is real or cosmetic.
Accessibility analytics is the practice of measuring and interpreting data from audits, scans, and remediation efforts to understand how accessible a website, web app, or mobile app actually is. Without defined metrics, teams tend to rely on gut feeling or a single scan score, neither of which tells the full story.
| Metric | What It Tells You |
|---|---|
| Conformance Rate | Percentage of WCAG 2.1 AA or WCAG 2.2 AA criteria met across evaluated pages or screens |
| Issue Severity Distribution | Breakdown of issues by critical, major, and minor categories |
| Remediation Velocity | How quickly identified issues are being resolved over a defined period |
| Scan Coverage | Number of pages or screens actively monitored by automated scans |
| Issue Recurrence Rate | How often previously fixed issues reappear after new content or code changes |
Why Conformance Rate Is the Central Metric
Conformance rate measures how many WCAG success criteria your digital asset meets against the total applicable criteria. It is the closest thing to a single number that represents accessibility health.
A conformance rate based on a (manual) accessibility audit is the only way to determine real WCAG conformance. Scans only flag approximately 25% of issues, so a conformance rate built from scan data alone will always be incomplete. The number matters, but the source of the number matters more.
What Does Issue Severity Distribution Reveal?
Not all accessibility issues carry the same weight. A missing form label on a checkout page has a different user impact than a decorative image without alt text. Severity distribution breaks your total issue count into categories, typically critical, major, and minor, so you can prioritize remediation intelligently.
Tracking severity over time is where this metric becomes powerful. If your critical issue count drops from 40 to 5 across two audit cycles, that trend line tells a meaningful story even if total issues haven’t changed dramatically. Risk Factor and User Impact prioritization formulas can help teams decide which issues to address first.
Remediation Velocity as a Progress Indicator
Remediation velocity measures how many issues your team resolves within a set timeframe. It answers a simple question: are we making progress fast enough?
A team might identify 200 issues in an audit report. If they resolve 15 per week, the estimated completion timeline is roughly 13 weeks. If velocity drops to 5 per week, leadership can see immediately that something changed. Maybe developer bandwidth shifted. Maybe the remaining issues are more complex. Either way, the data surfaces the conversation before the project loses momentum.
Scan Coverage and Its Limits
Scan coverage tells you how many pages or screens your automated monitoring tools are actively checking. A site with 500 pages but only 50 in the scan rotation has a 10% coverage rate. That gap means 90% of the site could develop new issues without anyone noticing.
Automated scans are useful for catching regressions and monitoring known patterns. But they only flag approximately 25% of issues. Scan coverage is worth tracking because it shows how much of your digital footprint is under observation. It is not, however, a substitute for a thorough (manual) evaluation.
Tracking Issue Recurrence
Recurrence rate measures how often previously resolved issues come back. This happens frequently when content authors add new pages without following accessibility standards, or when code deployments overwrite previous fixes.
A high recurrence rate typically signals a training gap. If the same heading structure issues keep appearing, the development team may not understand WCAG heading requirements. If alt text keeps disappearing on new product images, the content workflow needs an accessibility checkpoint.
How to Combine These Metrics Into a Useful Dashboard
Individual metrics are informative. Combined, they form a narrative. A practical accessibility analytics dashboard includes a current conformance rate from the most recent audit, a severity breakdown of open issues, a remediation velocity trend over the past 30, 60, and 90 days, a scan coverage percentage, and an issue recurrence rate by category.
This is not about drowning in data. It is about having enough signal to make good decisions. When a procurement team asks for an ACR and your conformance rate sits at 95% with a downward trend in critical issues, that tells a compelling compliance story.
Metrics That Look Useful But Mislead
Some numbers sound valuable but create a false sense of security. A scan score of 100 does not mean WCAG conformance. It means the scan passed every check it is capable of running, which covers roughly a quarter of the full standard.
Total issue count without severity context is another misleading metric. A site with 300 minor issues and zero critical issues is in a fundamentally different position than a site with 50 issues that are all critical. Raw counts without categorization flatten important distinctions.
Do I need an audit to get accurate analytics?
Yes. A (manual) accessibility audit conducted by a qualified auditor is the only way to produce a conformance rate that reflects actual WCAG 2.1 AA or WCAG 2.2 AA conformance. Scans contribute monitoring data, but they cannot evaluate the full standard.
How often should I review accessibility metrics?
Review scan data and remediation velocity weekly or biweekly. Update your conformance rate after each audit cycle, typically on an annual basis or after significant product changes.
Can AI help with accessibility analytics?
AI can accelerate pattern recognition, flag recurring issues, and generate progress reports from audit data. AI does not replace human evaluation for determining conformance, but it can make the data analysis surrounding audits and remediation more efficient.
What is a good conformance rate to aim for?
Full conformance with WCAG 2.1 AA is the target. Any percentage below 100% means documented issues remain. Organizations purchasing software often require an ACR that reflects a high conformance rate, so tracking this metric is directly tied to procurement readiness and ADA compliance posture.
Accessibility analytics transforms compliance from a guessing game into a measured process. The metrics that matter are the ones tied to real evaluation data, not scan outputs alone. Track them consistently and the path to conformance becomes visible.
Contact Kris Rivenburgh for accessibility consulting and guidance on building a data-driven compliance approach.