Accessibility Feedback Evidence Map
Organize supplied accessibility feedback into a traceable evidence map with Claude.
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See it in action
You say
I have a user interview (F1) saying the menu focus is lost on mobile, a support ticket (T2) about low contrast, and a vendor claim that the site is ADA compliant. Organize this for the QA team.
Your agent does
1. Scope and boundary
Organizing F1, T2, and vendor claim. No live audit performed.
2. Source register
| ID | Source | Area | Status | | -- | -- | -- | -- | | F1 | Interview | Menu | Direct report | | T2 | Ticket | UI | Reported | | C1 | Vendor | Site-wide | Claim only |
3. Evidence map
...
What you get
About this skill
The problem
Accessibility feedback often arrives as a chaotic mix of interview notes, support tickets, and vague vendor claims. Manually tracking which issues are current, which are fixed, and how they map to specific standards without losing source traceability is a massive time sink for product and QA teams.
What it does
- Inventories scattered accessibility feedback from interviews, tickets, and audit notes into a structured source register.
- Maps reported barriers to specific product areas while preserving the link to original evidence.
- Identifies contradictions between vendor claims and actual user reports or test observations.
- Flags missing metadata like browser versions, assistive technologies, or viewport sizes needed for reproduction.
- Generates a review-ready handoff packet with prioritized evidence gaps and specific questions for reviewers.
Why this beats prompting it yourself
General prompts often hallucinate compliance status or overstate evidence as verified facts. This skill enforces a strict workflow that separates digital and physical access, labels every statement by evidence type, and prevents the agent from making independent legal or WCAG conformance claims.
Use cases
- Organizing a stack of customer support tickets and user interview notes into a traceable developer backlog.
- Reviewing vendor accessibility claims against reported bugs and missing test reports.
- Preparing a structured handoff for a third-party accessibility auditor or internal QA team.
- Surfacing contradictions between historical audit findings and unverified fix claims in release notes.
Known limitations
This tool cannot browse live websites, inspect code, or run screen reader tests. It relies entirely on provided text, screenshots, or report excerpts.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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