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Professional practice
A transparent process for turning accessibility requirements into reproducible findings, practical fixes, and accountable retest outcomes.
The exact sample and technology matrix vary by product and package. They are agreed in writing rather than implied by a generic “full compliance” promise.
Define the product, page or workflow sample, target standard, conformance level, supported platforms, account states, exclusions, deliverables, and retest terms.
Use automated rules and code inspection to identify efficiently detectable issues, then validate findings before reporting them.
Test keyboard operation, focus, forms, errors, semantics, zoom, reflow, contrast, pointer interactions, media, dynamic updates, and relevant screen-reader behavior.
Document reproducible steps, expected and actual behavior, user impact, relevant WCAG mapping, severity, screenshots or code context, and remediation direction.
Support implementation as agreed, retest the original failure against the defined environment, and distinguish fixed, partially fixed, not fixed, and not retested outcomes.
Automated rules are useful for speed and repeatability. AI may help organize information or draft explanations. Neither replaces manual interaction testing, user-impact analysis, or professional judgment.
Potential automated findings are validated before they are represented as confirmed issues. Tool output alone is not described as certification or proof of legal compliance.