UX audits haven't evolved with the pace of shipping.
Enterprise teams move fast. But quality checks stay slow — manual, fragmented, and reactive by default. Issues found after development cost 10× more to fix. Teams needed a smarter way in.
"How might we help enterprise design teams identify usability, accessibility, and design system issues automatically — while reducing manual effort and maintaining audit quality?"
The vision was to move UX audits from a reactive, end-of-sprint bottleneck to a proactive, always-on workflow — embedded directly inside the tool designers already use every day.
From insight to interface — in 8 weeks.
AuditFlow — every screen, every issue.
A structured audit workflow embedded inside Figma. Run a complete audit in minutes — categorised findings, severity scores, and fix recommendations included.
Three dimensions of design quality.
AI UX Audit Engine
Scans designs against Nielsen's heuristics and established UX principles. Surfaces hierarchy issues, missing feedback states, cognitive load problems, and broken patterns.
Accessibility Scanner
Automated WCAG 2.1 AA/AAA compliance checks — colour contrast, focus states, touch targets, form labelling, and readability — all before development begins.
Design System Validator
Continuous validation against your team's approved tokens, components, and style rules. Catches drift before it compounds into design debt.
Instant Prioritisation
Issues sorted by severity — Critical → High → Medium → Low — with estimated impact on user experience, so teams always know what to fix first.
AI Recommendations
Every finding ships with a specific, actionable recommendation and the reasoning behind it. No vague warnings — just clear next steps designers can act on immediately.
One-Click Reports
Generate executive-ready audit summaries with risk areas, compliance status, and recommended actions. From audit to stakeholder brief in under 5 minutes.
Expected improvements.
What guided every decision.
Actionable Over Informational
Every finding ships with a fix recommendation, not just a warning. Information without direction is noise.
Prioritise What Matters
Severity is the first thing you see. Teams should understand impact at a glance, without reading fine print.
Explainable AI
Every AI recommendation includes its reasoning. Trust is built through transparency, not just accuracy.
Reduce Context Switching
The entire workflow lives inside Figma. Designers shouldn't need to leave the tool they're already in.
Enterprise Ready
Multi-team workspaces, role-based views, and audit history — designed to scale across large organisations.
Move Left, Not Right
Quality checks belong at the design stage, not in QA. AuditFlow shifts the feedback loop earlier.
Beyond the MVP.
The MVP audits individual files. The long-term vision is a complete UX governance platform.
What I'd keep. What I'd change.
Embedding the tool inside Figma — zero context switching was the right call
Three-dimensional audit scoring: usability, accessibility, design system as separate lenses
AI recommendations with explicit reasoning — trust through transparency
The shift-left framing: quality as a design-time activity, not a QA-time one
Run usability tests with real UX leads earlier — assumptions about audit workflows need validation
Co-design the issue severity model with engineering to ensure cross-functional buy-in
Prototype the onboarding flow — first-run experience is where complex tools lose users
Explore a lighter 'passive mode' that surfaces issues in real-time as designers work
"The future of design tools isn't just creation — it's intelligent collaboration between designers and AI."