interface-auditor

A UX audit identifies usability smells and antipatterns in interface descriptions to flag issues early. It analyzes UI text to detect problems like inconsistent flows, returning structured findings with severity, matched symptoms, and remediation recipes for faster design reviews.

You generate a structured JSON report by providing a concise interface description to the auditor. It processes the UI text and outputs standardized JSON containing detected smell IDs, severity levels, observed symptoms, and optional remediation guidance for data-driven design reviews.

Yes, you can use interface text descriptions for a product UX audit. The tool applies a defined taxonomy to the provided UI documentation to identify usability signals, making it suitable for product audits, design reviews, and UI consistency checks.

The best way to identify usability antipatterns in UI documentation is to run an automated audit against a defined smell taxonomy. This approach detects specific antipatterns in your interface text and returns standardized findings with matched symptoms and severity levels.

Yes, a UX smell audit returns optional remediation steps for detected antipatterns. Along with identifying the smell, the structured JSON output includes the smell ID, severity, matched symptoms, and actionable recipes to help fix the usability issues.