ENTERPRISE AI PLATFORM & MULTIMODALAPPLIED CASE STUDY

UsabilityCheck.ai: Autonomous Multimodal UX Testing at Scale

Engineered by Avery Intelligence Inc. (Menlo Park, CA)
Google Cloud Platform + Gemini API Architecture
4 Days
MVP to First Customer
100%
Automated Heuristic Audit
GCP Native
Cloud Run + Gemini 1.5/2.0
Sub-30s
Full UX Audit Latency

1. The Problem: The Human Testing Bottleneck

Traditional user research and usability testing take weeks to schedule, recruit, moderate, and synthesize. Product teams shipping weekly or daily releases cannot wait 14 days for user feedback, causing subtle UX regressions, cognitive friction, and conversion drops to reach production unnoticed.

2. Solution Architecture: Multimodal Vision Agents

Avery Intelligence architected UsabilityCheck.ai as an automated, multi-agent evaluation pipeline that ingests live URLs or Figma designs and executes comprehensive cognitive walk-throughs:

Synthetic User Personas

Orchestrated AI agents embodying distinct demographic, accessibility, and domain expertise archetypes evaluate navigation clarity and task completion paths.

Heuristic Scoring Engine

Automated scoring mapped directly against Nielsen Norman 10 Usability Heuristics, WCAG 2.1 accessibility compliance, and cognitive load indexes.

3. Rapid Engineering & Scalable Cloud Stack

Leveraging Google Cloud Platform (Cloud Run, Firestore, Firebase Functions Gen2) and multimodal vision models, the platform processes high-resolution DOM snapshots and outputs actionable Figma-annotated UX audits in under 30 seconds.