Scan-based monitoring and manual review cycles serve different purposes within an accessibility program. Scan monitoring runs automated checks on a recurring schedule, flagging code-level issues across pages continuously. Manual review cycles involve human evaluators conducting audits at set intervals to identify the issues scans cannot detect. Most compliance platforms support both, and understanding the distinction helps organizations plan coverage effectively.
| Key Point | What It Means |
|---|---|
| Coverage | Scans detect approximately 25% of accessibility issues. Manual review covers the remaining 75%. |
| Frequency | Scan monitoring can run daily, weekly, or monthly. Manual reviews are periodic, often quarterly or annually. |
| What Gets Caught | Scans flag code-level patterns like missing attributes. Manual review identifies usability, context, and assistive technology interaction issues. |
| Platform Role | Compliance platforms typically integrate both into a single tracking workflow with separate reporting for each. |
How Scan-Based Monitoring Works
Scan-based monitoring loads web pages on a set schedule and evaluates HTML, CSS, and ARIA attributes against Web Content Accessibility Guidelines (WCAG) success criteria. Platforms allow organizations to configure scan frequency: daily for high-traffic pages, weekly for secondary content, or monthly for stable sections of a site.
Each scan cycle generates a report showing new issues, recurring issues, and resolved issues. This creates a running log that tracks whether accessibility is improving or regressing over time.
The limitation is consistent across all scanning: approximately 25% of WCAG issues are detectable through automated checks. Scans catch missing alt attributes, empty form labels, duplicate IDs, and similar structural patterns. They cannot evaluate whether alt text is accurate, whether a workflow makes sense with a screen reader, or whether content order is logical.
How Manual Review Cycles Work
Manual review cycles involve accessibility professionals conducting audits against WCAG conformance criteria. These evaluations include screen reader testing, keyboard testing, visual inspection, and code inspection. An audit identifies issues that scans miss, which accounts for roughly 75% of the total issue set.
Organizations typically schedule manual reviews on a quarterly, biannual, or annual basis depending on how frequently their digital content changes. A product that ships new features monthly may need more frequent reviews than a static informational site.
Within a compliance platform, manual review results feed into the same tracking system as scan data. This gives teams a unified view of all identified issues, regardless of how each was detected.
Where They Overlap in a Platform
Compliance platforms bring both data streams together. Scan monitoring provides continuous coverage for the issues it can detect. Manual review cycles fill in the rest at defined intervals.
The practical effect is layered coverage. Between manual reviews, scans act as an early warning system. If a new deployment introduces missing form labels or broken heading structures, the next scan cycle flags it. Issues that require human judgment, like whether a modal dialog is operable with a keyboard or whether a video transcript is accurate, wait for the next scheduled review.
Choosing the Right Cadence
Scan frequency is typically a platform configuration setting. Most organizations run weekly or biweekly scans as a baseline. Pages behind authentication require browser-based scan extensions running within an active session.
Manual review frequency depends on content velocity and risk tolerance. Organizations in industries with high litigation exposure or regulatory obligations tend toward quarterly reviews. Others may find annual reviews sufficient, supplemented by targeted evaluations after significant updates.
Neither approach replaces the other. Scan monitoring without manual reviews leaves 75% of issues unidentified. Manual reviews without ongoing monitoring leave periods between evaluation cycles where new issues go undetected.
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