
Use Case
Neurodivergent users encounter usability friction earlier and more intensely than neurotypical users. We turn that early-warning signal into ranked, actionable findings.

The problem
Automated scanners catch 30 to 40% of accessibility issues (UK Government Digital Service). What they catch is mostly structural: contrast ratios, missing alt text, malformed ARIA. They miss almost everything cognitive: ambiguous labels, sludge in error states, unfamiliar jargon, layouts that overwhelm working memory. Those are the issues that drive abandonment.
Cognitive accessibility is not a smaller version of WCAG. It is a different evaluation problem and it needs a different evaluation method, real testing with the people most affected. That is what we do. We do not test the WCAG criteria that depend on assistive technologies (screen readers, magnifiers, switch devices); for that work you need a separate provider.
Our approach
Three capabilities that set our testing apart.
ND testers consistently spot friction earlier than neurotypical testers. Fixing what blocks them tends to lift task success across the whole audience. The curb-cut effect, applied to your funnel.
Behavioural data (clicks, scrolls, dwell), self-report (voice commentary), and physiological signals (facial reactions) captured in parallel and correlated by the analysis layer.
Findings tagged to the relevant 1.x, 2.x, and 3.x success criteria, with the out-of-scope criteria listed explicitly in every report.

Deliverables
Per-journey behavioural-insight report ranked by severity and cohort impact
Cohort-level task-success metrics, dwell-time deltas, and abandon-rate deltas
Mapping to the WCAG 2.2 success criteria cognitive accessibility touches (with explicit out-of-scope list)
Per-finding fix recommendation with effort estimate
Optional A/B iteration until task-success across profiles plateaus

Start with a free audit to see your accessibility score, or talk to our team about cognitive accessibility insights.

Start with a free audit to see your accessibility score, or talk to us about a neurodivergent user testing pilot.