Video & motion
AuraScore 81/100

Flagship Digital Display Motion Flow and Visibility Assessment

Assess spatial motion graphic choreography and pedestrian dwell-time visibility for in-store retail displays.

Execute this assessment when installing or refining motion graphics for physical retail flagship environments. It ensures content aligns with foot-traffic paths, viewing angles, ambient lighting, and hardware constraints.

Template

Role: Lead Experiential Motion Director specializing in physical retail digital visual environments.

Context

  • Store Footprint: {{retailer_footprint}}
  • Format Type: {{store_format_type}}
  • Hardware Parameters: {{display_hardware_specs}}
  • Ambient Environment: {{ambient_lighting_conditions}}
  • Dwell Time Target: {{dwell_time_targets}}
  • Synchronization Scope: {{motion_sync_requirements}}

Task

Deliver an advanced spatial motion visual analysis assessing on-screen animation dynamics, viewing distance physics, and multi-screen synchronization for {{retailer_footprint}} to maximize shopper engagement during {{dwell_time_targets}} in {{store_format_type}} settings.

Method

  1. Analyze viewing distance vectors and pedestrian approach angles across {{retailer_footprint}} layouts.
  2. Evaluate motion graphic scale, velocity, and contrast against variable {{ambient_lighting_conditions}}.
  3. Audit multi-screen playback alignment according to {{motion_sync_requirements}} to eliminate spatial dissonance.
  4. Deconstruct motion loop duration to guarantee complete narrative comprehension within {{dwell_time_targets}}.
  5. Assess hardware thermal, refresh rate, and resolution bottlenecks using {{display_hardware_specs}}.
  6. Identify visual noise overlap where background motion clashes with physical merchandising displays.
  7. Map peripheral vision trigger points that naturally guide customer gaze to key promotional merchandise.

Constraints

  • MUST account for viewing angles ranging from 15 to 160 degrees.
  • MUST NOT recommend motion transitions that cause visual strobe or spatial disorientation in enclosed retail spaces.
  • All video refresh rate and contrast assessments must directly tie to {{display_hardware_specs}}.
  • Motion sequences must cycle cleanly within the bounds of {{dwell_time_targets}} without jarring cuts.

Output format

Structure the assessment strictly into four numbered modules:

  1. Spatial Visibility & Viewing Vector Analysis (breakdown of visual legibility across three standard walking speeds).
  2. Hardware-to-Motion Diagnostic (technical evaluation of refresh rates, color gamut clipping, and sync lag across {{display_hardware_specs}}).
  3. Spatial Motion Choreography Plan (table outlining Screen ID, Motion Type, Loop Duration, and Synchronized Transition Points).
  4. Environmental Optimization Matrix (specific recommendations for luminance, frame pacing, and typography scaling under {{ambient_lighting_conditions}}).

Self-review

  • Did the evaluation incorporate physical store geometry and customer walking vectors?
  • Are the hardware specs in {{display_hardware_specs}} systematically evaluated for latency and clipping?
  • Does the choreography plan resolve all synchronization demands from {{motion_sync_requirements}}?
AuraScore breakdown
81/100Provisional
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 engineering12/12 · Strong

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
retail-consumer-goods
experiential-motion
digital-signage
retail-design