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Uxia

Uxia

Validate your User flows UX & UI in seconds with AI

Overview

What it is

Uxia makes user testing accessible for design and product teams of all sizes. Traditional tools are slow, costly, and often inaccurate. Uxia uses AI and synthetic users to deliver fast, reliable insights, enabling more agile and efficient product development.

Intent

I need it when

Ensure digital experiences meet accessibility standards and WCAG compliance before launch

Uxia's Accessibility Test feature automatically reviews designs against WCAG 2.2 AA and AAA standards, providing compliance validation alongside usability insights in the same testing workflow.

Validate prototypes and live products before investing engineering resources or launching to real users

Uxia tests Figma prototypes, live websites, authenticated flows, and complex product experiences by pasting a URL or uploading design files. AI testers simulate real user behavior, identify usability issues, and highlight confusion points early in the development cycle.

Gather qualitative research insights from target audiences without the cost and delay of recruiting human participants

Uxia's AI User Research feature captures deep feedback through targeted questions, open-ended responses, and follow-up conversations with synthetic testers that represent specific audience segments. Teams get directional insights in minutes at a fraction of traditional research costs.

Accelerate UX validation cycles by getting actionable design feedback in minutes instead of weeks

Uxia delivers AI-powered usability testing that compresses the full research workflow from kickoff to insights into under 20 minutes. Synthetic testers independently explore designs, surface friction points, and generate findings without recruitment, scheduling, or manual moderation overhead.

Combine speed of AI testing with confidence of human validation for hybrid research workflows

Uxia allows teams to run AI tests first to identify friction quickly, then convert the same test into a shareable link for human participants to record sessions, generating transcripts and click maps—all from one platform.

Drop

Not a fit when

  • User needs real human participant feedback with genuine emotional reactions and lived experience that synthetic testers cannot replicate
  • Project requires testing with specific regulated populations or demographics where synthetic data may not meet compliance or ethical standards
  • Organization lacks design artifacts or prototypes to test and needs guidance on concept development before validation
  • Budget is extremely constrained and free or very low-cost unmoderated testing alternatives are required
  • Testing involves highly specialized domains requiring domain expert knowledge that AI testers cannot authentically simulate
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Pricing

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