UI Roast for Figma

Product Introduction

1. Definition: UI Roast for Figma is an AI-powered Figma plugin specializing in automated usability auditing. It falls under the technical category of AI-driven design validation tools, integrating directly into Figma’s interface to analyze UI/UX designs.
2. Core Value Proposition: It eliminates biased, polite feedback by delivering unfiltered AI critiques to identify usability flaws pre-launch. Primary keywords: brutal UI feedback, Figma usability plugin, AI design review, Savage Mode Figma.

Main Features

1. Savage Mode AI Critique: Generates unvarnished usability reports by analyzing Figma frames via NLP (Natural Language Processing) and heuristic algorithms. It cross-references designs against WCAG standards, interaction patterns, and cognitive load principles, then outputs prioritized fixes.
2. Real-Time In-Figma Analysis: Operates within Figma’s native environment using the Figma Plugin API. Scans layers, components, and frames in seconds—no export required. Leverages cloud-based AI (likely transformer models) for instant feedback.
3. Actionable Fix Recommendations: Beyond identifying flaws (e.g., poor contrast, cluttered layouts), it provides coded solutions (CSS snippets, Figma auto-layout adjustments) and links to accessibility guidelines (WCAG 2.1/2.2) for remediation.

Problems Solved

1. Pain Point: Prevents costly post-launch redesigns by catching usability issues early. Addresses "politeness bias" in human reviews where critical feedback is diluted. Keywords: late-stage design flaws, biased feedback loops, usability debt.
2. Target Audience: UI/UX designers in agile teams, solo founders validating MVPs, and agencies needing client-facing audit reports. Specific personas: Figma power users, SaaS product designers, accessibility auditors.
3. Use Cases: Essential for validating prototypes before user testing, auditing legacy screens for redesign, or ensuring compliance (e.g., ADA, WCAG) during sprint reviews.

Unique Advantages

1. Differentiation: Unlike manual audits (e.g., Figma comment tools) or generic AI checkers, UI Roast’s "Savage Mode" mimics real-user frustration with context-specific severity scoring. Competitors like Stark focus on accessibility only; this combines usability, accessibility, and emotional response analysis.
2. Key Innovation: Proprietary AI trained on diverse user-behavior datasets to simulate "angry user" reactions. Outputs are structured as fix-first directives (e.g., "Increase button contrast to 4.5:1 – here’s hex code #...") rather than generic warnings.

Frequently Asked Questions (FAQ)

1. How accurate is UI Roast’s AI feedback? The AI uses heuristic evaluation models benchmarked against Nielsen-Norman Group principles, with accuracy validated via 10,000+ design test cases.
2. Does UI Roast support accessibility compliance? Yes, it audits against WCAG 2.1/2.2 AA standards, flagging issues like insufficient color contrast, missing alt text, and keyboard navigation gaps.
3. Can it replace human usability testing? No—it complements human testing by catching 80% of obvious flaws pre-sprint, reducing costly rounds of user interviews.
4. What Figma formats does UI Roast analyze? Works on frames, components, and prototypes (auto-layout, constraints, component variants supported).
5. Is there a free trial for UI Roast? Yes, Figma Community plugins typically offer free tiers; check its Figma page for current plans after resolving the 403 error.