US accessibility SaaS
WCAG findings with an owner and a fix
A SaaS scanner for a US company that turns WCAG issues into a list a team can assign.
14 wks
To a multi-tenant beta
Queued
Scans, so the web app stays responsive
Human
Review on borderline hits
Client names, logos, and contracts stay unpublished under NDA. Software screens use sample data, not live records.
Outcome focus
WCAG 2.2
AA checks with assignment, not a PDF dump
01 — Context
Challenge
The client sold accessibility reviews as documents. Teams received a long report, then lost track of which template, image, or form still failed.
02 — Method
Approach
We built a scanner around axe-core and Playwright, stored findings against a URL and selector, and made assignment the main screen. Automated checks cover what rules can prove. Manual review stays a step. Client identity is under NDA.
Workflow
Crawl
A queued worker opens the supplied URLs and runs the automated rule set.
Triage
Serious items surface first. A reviewer confirms false positives before they are assigned.
Rescan
After a fix, the same URL is scanned again and matched to the earlier finding.
Outcomes
- Each finding has a rule, impact, and page element
- Teams assign a fix instead of forwarding a report
- Rescans show which items cleared
Measurement
Illustrative patterns from this engagement style
Findings closed after assignment
Illustrative percent of serious automated findings marked fixed on a rescan during the beta.
- 8 W4
- 19 W6
- 31 W8
- 44 W10
- 52 W12
- 61 W14
Checkpoint values
Same series as bars — useful for scanning week-to-week movement.
How issues were handled
From a static report to a tracked list.
Before
- Unread report50%
- Email thread35%
- Tracked fix15%
After we rebalance
- Unread report10%
- Email thread20%
- Tracked fix70%
Charts are illustrative patterns for how we sequence and measure work in this category. They are not audited financial results or guarantees.
Visuals
Project gallery
Forms and listings are sample interfaces. They are not screenshots of a client's live data.
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