UX Audit and Web Accessibility Optimisation

Context

A high-growth SaaS platform experienced declining user satisfaction as new features were shipped rapidly. The product accumulated UX inconsistencies, unpredictable navigation patterns, and accessibility gaps that blocked enterprise deals. The team needed a fast, objective audit without halting development.

Challenge

  • Fragmented user journeys causing friction and drop-offs

  • Inconsistent interaction patterns and unclear hierarchy in UI

  • Accessibility issues across colours, contrast, keyboard navigation, and ARIA labelling

  • Manual audits were slow, subjective, and hard to maintain

  • Enterprise clients required WCAG 2.2 AA compliance

How Freska AI Helped

Freska AI delivered a comprehensive, AI-driven UX and accessibility audit that pinpointed issues, prioritised fixes, and mapped improvements to design and code.

1. Multi-Layer UX Analysis

Freska AI analysed user flows, interaction patterns, and UI density to identify:

  • cognitive load hotspots

  • confusing transitions

  • broken heuristics (e.g., inconsistent placements, unclear affordances)

  • screens that caused user hesitation or abandonment

AI cross-referenced findings with known UX best practices and heuristics.

2. Accessibility Benchmarking

The system scanned the live product and design files to detect accessibility problems:

  • insufficient colour contrast

  • missing or incorrect labels

  • broken keyboard focus flow

  • inaccessible components

  • improper heading hierarchy

  • non-semantic HTML patterns

Each issue was mapped to WCAG 2.2 AA criteria.

3. Auto-Generated Remediation Guidance

Freska AI produced actionable recommendations for both designers and developers:

  • colour token fixes and alternative palettes

  • improved component states, spacing, and interactions

  • restructured layouts for clarity

  • corrected ARIA attributes, keyboard traps, and focus handling

  • annotated Figma frames with UX improvements

4. Developer-Ready Fixes

The platform generated code suggestions and PR-ready patches:

  • corrected semantic elements

  • updated tokens for contrast compliance

  • keyboard accessibility fixes

  • improved component-level behaviour

Impact

  • WCAG compliance improved from 58% → 92% in one sprint

  • User task completion increased due to clearer flows and reduced friction

  • Significant reduction in accessibility blockers for enterprise onboarding

  • Reduced manual audit efforts by 70%

  • Unified UX language across design and engineering

Result

Freska AI enabled the team to rapidly elevate their product’s usability and accessibility—turning subjective audits into precise, data-driven improvements.
The outcome: a more inclusive, intuitive, and enterprise-ready product, delivered with speed and consistency.

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