Institutional Audit / UX + Accessibility

Institutional
Audit.

A structured evaluation of complex portals: accessibility, UX heuristics, information architecture, and content clarity—translated into actionable fixes for designers and engineers.

NDA-safe version. Private client data, internal documentation, and non-public artifacts are not embedded.

01 / Audit Snapshot

METHOD
Institutional audit preview

Evidence-Based Review

Findings • Severity • Fix Paths

Inputs

Device/browser checks, keyboard-only paths, AT smoke tests, heuristic evaluation, and content inventory.

Outputs

A prioritized log of issues, reproduction evidence, and recommendations written for fast implementation.

Stakeholder Readout

Executive summary + risk framing to align teams on what to fix first and why.

02 / Findings (Interactive, Representative)

TRIAGE

IA-01Accessibility

Keyboard path breaks in primary navigation

Severity: High

Evidence

  • Video repro (keyboard-only)
  • Focus order notes
  • DOM snapshot (interactive element)

Recommendation

  • Ensure keyboard parity (Enter/Space) and visible focus on all interactive controls.
  • Add predictable focus management for menus/dialog patterns.

IA-02Information Architecture

Headings and landmarks inconsistent across templates

Severity: Medium

Evidence

  • SR headings list / outline review
  • Template comparison matrix

Recommendation

  • Normalize heading hierarchy (single H1, logical nesting).
  • Apply landmark regions consistently (nav/main/footer).

IA-03UX Heuristics

Dense pages lack scannable hierarchy for first-time users

Severity: Medium

Evidence

  • Heuristic notes
  • Scroll-depth observation
  • Screenshot annotations

Recommendation

  • Introduce sectioning, progressive disclosure, and clearer page-level summaries.
  • Reduce cognitive load by grouping related actions and content blocks.

IA-04Content

Microcopy uses institutional jargon without user-facing definitions

Severity: Low

Evidence

  • Content inventory
  • Examples list (terms + contexts)

Recommendation

  • Add short definitions/tooltips for domain terms.
  • Rewrite high-traffic labels to match user mental models.