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How often should you scan a headless Shopify store for accessibility issues?

Published 2026-09-22

Tie accessibility checks to deployments and monitor the rendered customer experience, not just source components. Crawl production routes, exercise menus, product options, dialogs, cart, forms, and errors in a real browser, and add manual keyboard and screen reader checks to critical flows. Diff new failures against the last clean build and keep verification evidence after repairs.

Scan on every deploy, crawl production weekly, and do a manual pass quarterly. Deploys catch regressions early, production crawls catch what staging misses, and manual reviews catch what automation cannot see.

Scan on every deploy

Most accessibility regressions ship with a release: a new component without a label, a focus trap in a new modal, a color change that drops contrast below the threshold. Running automated checks as part of the deploy pipeline means the team sees the failure next to the change that caused it, when the fix is cheapest. Block the release on new critical violations, not on pre-existing ones, or teams will start bypassing the gate.

Crawl production weekly

Staging never matches production exactly. Content editors publish pages the deploy pipeline never saw, third-party scripts inject their own markup, and personalization variants change the DOM per visitor. A weekly crawl of production routes, exercising menus, search, cart, and checkout, catches the drift that deploy checks miss. Compare each crawl to the previous one so the report shows what changed, not just a raw violation count.

Do a manual review quarterly

Automation checks rules; people check experiences. Keyboard-only navigation, screen-reader flow through checkout, and error handling on forms all need a human at least once a quarter. Time it before peak trading periods so fixes land when they matter most. Keep the session short and scoped to the journeys that changed since the last review.

What to track over time

Track new violations per deploy, time to fix, and the share of critical issues older than 30 days. Those three numbers tell you whether the program is improving or just generating reports. A falling new-violation rate with a flat backlog means the gate works but nobody is paying down old debt, which is a staffing conversation, not a tooling one.

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