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Online ProofingB2B SaaSLead DesignerWeb & Mobile ResponsiveShipped & Live
GoVisually

Automating label compliance in minutes with AI

GoVisually
Company
GoVisually
Role
Product Designer
Team
Developers x 2
PM x1
Tools
Figma
Claude Code
Timeline
5 months
Shipped & Live

Overview

Business Context

Teams designing product packaging and marketing materials (labels, claims, regulatory statements) spend weeks manually verifying compliance with laws, brand guidelines, nutrition standards, allergen requirements, regional regulations, and format rules.

Problem

  • Manual, error-prone, and slow
  • Dependent on subject matter experts (SMEs)
  • Fragmented across email, PDFs, spreadsheets
  • Bottleneck for time-to-market

Opportunity

Automated proofing that delegates regulatory checks, brand guarding, and artwork verification with an intelligent assistant.

Product Goals

  • Automates regulatory and brand compliance checks in seconds
  • Integrates into the existing review workflow
  • Reduces reliance on manual compliance SMEs
  • Provides actionable, explainable feedback
  • Saves time and reduces review cycles by >50%

Success Metrics

  • faster review time compared to manual compliance workflows.
  • reduction in time-to-market, especially for global SKUs.
  • fewer revision rounds

Primary Users

  • Product & Packaging Designers
  • Regulatory & Compliance Teams
  • Brand Managers / Marketing Leads
  • Legal Counsel (In-house or External)

Stakeholders

  • Product Managers
  • Engineering Lead
  • Sales & GTM Team
  • Customer Success/Support

KPI

90%
faster review time
50%
reduction in time-to-market
80%
fewer revision rounds

Design Process

Discovery & Research

Concept & Ideation Exploration

User Flows + Journey Mapping

Mapped compliance as a step in the artwork lifecycle: Upload → AI Compliance → Team Review → Revisions → Approval → Export

Information Architecture

We created a compliance panel that: - Separates issues by severity (Required vs Recommended) - Allows drill-down to element level - Connects with review threads

UX Wireframes → Prototypes

Iterations focused on: - Clarity: Users must see what’s wrong and why - Actionable Feedback: Clickable highlights on artworks - Rule Tuneability: UI for playbook rules

Solution

Upload + AI Analysis Dashboard

User drops a label; AI scans in seconds and shows: - Compliance score - Issues list by category - Heatmap overlays on the artwork

Issue Drill-Down

Tap a flagged element: - Text explaining the violation - Regulatory source (e.g., EU Reg, FDA) - Suggested correction

Collaboration + Resolution

- Users comment on specific issues - @mentions send to SMEs - Once resolved, issues are marked fixed

Version Diff

UI shows changes between versions: - What changed - Which issues were resolved or new

Outcome

Results

  • 90% faster review time compared to manual compliance workflows.
  • 50% reduction in time-to-market, especially for global SKUs.
  • Up to 80% fewer revision rounds when AI catches problems early.