What your report looks like
Every test produces a structured report with WCAG-mapped findings, emotional evidence, and developer-ready fix guidance. Explore a sample below.
Accessibility Report: Transfer Payment Journey
Tester profile: ADHD + Dyslexia | Session duration: 12m 34s | Device: Desktop
Accessibility Score: 38/100
5 findings across navigation, visual design, content, and forms. 2 critical issues require immediate attention before the next release.
3
Data Streams
Fused per report
100%
WCAG 2.2 Mapped
Every finding traced
PDF + Web
Export Formats
Shareable across teams
Round-on-Round
Trend Tracking
Measure improvement
What's in every report
AI-correlated findings from three data streams, mapped to WCAG 2.2 and ready for your team.
WCAG 2.2 Mapped
Every finding linked to the relevant success criteria with severity classification.
Developer-Ready Fixes
Concrete recommendations with before/after examples your team can implement immediately.
Executive Summary
Plain-English overview for stakeholders covering overall score, top risks, and next steps.
Three Data Streams Fused
Behaviour, emotion, and voice data correlated by AI to build the complete picture.
Vulnerable-Customer Evidence
Methodology trail and behavioural evidence showing how neurodivergent customers experience your product.
Cross-Tester Synthesis
Aggregated insights across all 12 ND profiles, weighted by severity and frequency.
How it works
Sessions complete
Once all testers finish, the AI ingests all three data streams: behaviour, emotion, and voice.
AI correlates signals
Frustration spikes are matched with rage clicks and voiced complaints to build the complete picture.
Findings prioritised
Each issue is severity-ranked (Critical, Major, Minor) and mapped to WCAG 2.2 success criteria.
Report delivered
Prioritised findings with fix recommendations, video timestamps, and an executive summary.
