Experience
Lab
Automating design quality through configurable AI intelligence. Audit Figma designs before they ship, catching friction, inconsistency, and accessibility issues at the source.
Manual audits are a bottleneck
Design quality audits are essential but slow. They're manual, inconsistent, and heavily dependent on who's doing them. Rules-based linting tools only catch surface issues. They don't understand task flows, user intent, or the specific context of your product.
I found that manual audits were a bottleneck to rapid innovation in fast-moving teams. Experience Lab is my attempt to bridge that gap, moving beyond gut feeling to data-driven, configurable design intelligence.
Configurable AI audit intelligence
Experience Lab is an AI-powered design audit tool that goes beyond pre-built rules. Users define the Persona and Audit Criteria, letting the AI agent evaluate designs against their team's specific needs and product context, not generic checklists.
Beyond Pre-built Rules
Define the persona and audit criteria. The agent evaluates designs against your specific team needs, not generic checklists.
Task-Flow Context
Focuses on end-to-end task flows rather than isolated screens, catching friction that traditional audits miss entirely.
Structured Findings
Results as issue-based findings categorised by risk level, with clear, specific recommendations for remediation.
What it aims to do
Accessibility Auditing
Automatically checks designs against WCAG 2.2 criteria at the source, before a single line of code is written.
Friction Detection
Identifies points in user flows where cognitive load spikes, navigation is unclear, or user expectations are violated.
Consistency Analysis
Spots design system deviations, inconsistent component usage, and spacing/typography violations across the full file.
Configurable Personas
Evaluate the same design from the perspective of different user types, each with their own criteria and tolerances.
Why I'm building this
"I found that manual audits were a bottleneck to rapid innovation. I built Experience Lab as an MVP to bridge this gap, moving beyond gut feeling to data-driven design decisions."
As an accessibility specialist, I see how often accessibility issues slip through because auditing is treated as a late-stage QA step rather than a continuous design practice. Experience Lab aims to shift that left, making quality a built-in habit rather than a last-minute check.
Interested in this?
Experience Lab is actively in development. If you're interested in collaborating, beta testing, or just want to talk through the concept, reach out.