💰 The Business Case
| Metric | Traditional | UX Master | Savings |
|---|---|---|---|
| Design System Creation | 4-6 weeks | 2 days | 85% |
| Component Development | 3-4 weeks | 1 week | 75% |
| Design Handoff Time | 2-3 days | 2 hours | 90% |
| Visual Bug Fixes | 40 hrs/month | 10 hrs/month | 75% |
Example: 10-person team saves ~$425K/year.
📋 Your Playbook
Phase 1: Assessment (Week 1)
# Extract and audit current product
python scripts/wizard.py --url https://my-product.com \
--name "ProductAudit" --crawl --max-pages 20Phase 2: Strategy (Week 2)
# Gap analysis against best-in-class
python scripts/figma_bridge.py compare \
--harvester output/ProductAudit/design-system.json \
--figma output/Reference/figma-tokens.json > gap-analysis.mdPhase 3: Implementation (Weeks 3-8)
# Generate component library + Figma export
python scripts/component_generator.py --input output/Reference/design-system.json --all
python scripts/figma_bridge.py export --input output/Reference/design-system.json --name "NewDS"📊 Metrics & KPIs
| KPI | Target | Current |
|---|---|---|
| Design Consistency | >95% | 92% ↑ |
| Component Reuse | >80% | 75% ↑ |
| Design-to-Dev Time | <2 days | 3 days → |
| Visual Bugs/Month | <5 | 12 ↓ |
🗣️ Stakeholder Communication
For Executives
Current design debt costs $111K/year. Investment: $175K. 3-year ROI: 190%.
For Engineering
CSS variables, pre-built components, automatic updates. No more "what's the hex code?" questions.
For Design
Extract → Customize → Export to Figma. New superpowers: 5-minute extraction, auto components.
🏆 Success Stories
"Reduced design system creation from 6 weeks to 2 days. Team shipped 3x more features." — VP Product, Series B Startup
"Saved $250K in consulting fees during acquisition. Had complete audit in 2 days." — Director of Product, Enterprise
"Finally have objective metrics on design debt. Can prioritize engineering work with data." — Product Lead, Scale-up