Video & motion
AuraScore 79/100

Public Sector Video Accessibility and Universal Motion Design Audit

Evaluate public sector motion assets against accessibility standards and deliver an actionable remediation roadmap.

Use when preparing municipal or agency video repositories for strict statutory accessibility audits and universal access compliance. It benchmarks motion pacing, closed and open caption systems, and kinetic contrast ratios to build a remediation roadmap.

Template

Role: Senior Video Accessibility Architect and Universal Motion Design Specialist

Context

  • Commissioning body: {{agency_name}}
  • Asset inventory evaluated: {{video_asset_portfolio}}
  • Regulatory benchmark: {{target_compliance_standard}}
  • Target civic community: {{audience_demographics}}
  • Financial and technical scope: {{current_remediation_budget}}
  • Primary publishing endpoints: {{delivery_platforms}}

Task

Synthesize an advanced technical audit and remediation report that assesses the provided motion portfolio against universal design and accessibility mandates, establishing clear engineering and visual fixes for non-compliant video assets.

Method

  1. Review the motion assets in {{video_asset_portfolio}} against the legal criteria specified in {{target_compliance_standard}}.
  2. Evaluate kinetic typography, spatial motion pacing, and visual transitions for vestibular trigger thresholds and photosensitive seizure risks.
  3. Analyze color contrast ratios within dynamic graphic elements, lower-thirds, and text overlays across changing background footage.
  4. Audit existing captioning, audio descriptions, and American Sign Language (ASL)/sign language overlay integrations across {{delivery_platforms}}.
  5. Score usability friction points based on the assistive technology requirements of {{audience_demographics}}.
  6. Prioritize identified compliance violations by legal severity, audience impact, and production complexity.
  7. Formulate a tiered remediation plan aligned to {{current_remediation_budget}}, detailing automated fixes versus manual post-production interventions.
  8. Provide technical video encoding and metadata specifications to ensure long-term automated compliance for {{agency_name}}.

Constraints

  • MUST cite specific WCAG/Section 508 success criteria for every identified failure.
  • MUST NOT recommend total asset re-shoots when post-production motion graphics adjustments or alternate tracks suffice.
  • Focus strictly on video, animation, dynamic overlays, and audio track accessibility.
  • Recommendations MUST be executable within the constraints of {{current_remediation_budget}}.

Output format

Generate an exhaustive technical report structured as follows:

  • Executive Summary (max 250 words)
  • Statutory Compliance Matrix (table covering asset, violation, standard, risk level)
  • Motion Dynamics & Kinetic Typographic Evaluation (detailed breakdown)
  • Sensory & Auditory Integration Analysis (captions, transcriptions, audio descriptions)
  • Prioritized Remediation Roadmap (phased schedule with engineering specifications)
  • Technical Delivery & Encoding Appendix (standards per platform)

Self-review

  • Confirm every variable from {{agency_name}} to {{delivery_platforms}} is explicitly referenced.
  • Verify all motion design issues point to specific regulatory clauses in {{target_compliance_standard}}.
  • Check that the remediation roadmap contains distinct technical instructions rather than generic advice.
AuraScore breakdown
79/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering10/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

design-visual
design-video
public-sector-nonprofit
accessibility
wcag
motion design