Executive Summary

UXGrounded is an AI-powered UX research copilot that revolutionizes how designers and product teams analyze, validate, and improve their user experiences. By combining Figma design import capabilities with advanced AI analysis, the platform provides actionable insights, user personas, test cases, and recommendations to enhance product usability and user satisfaction.

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1. Product Overview

1.1 Vision Statement

"To democratize UX research by making advanced user experience analysis accessible to every design team through AI-powered insights and automation."

1.2 Core Value Proposition

• AI-Powered Analysis: Leverage multiple LLM providers (OpenAI, Groq) for comprehensive UX evaluation

• Figma Integration: Seamless design import and analysis from Figma files

• RAG-Enhanced Context: Reference document integration for industry-specific and contextual analysis

• Actionable Insights: Generate personas, test cases, and prioritized recommendations

• Real-time Monitoring: Observability dashboard for system health and performance tracking

1.3 Target Audience

• Primary: UX/UI Designers, Product Managers, Design Teams

• Secondary: Startup founders, Development teams, Design agencies

• Tertiary: Enterprise product teams, Design consultants

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2. User Experience (UX) Design

2.1 User Journey Mapping

UXGrounded - Comprehensive Technical Specification & Design Document

Executive Summary

UXGrounded is an AI-powered UX research copilot that revolutionizes how designers and product teams analyze, validate, and improve their user experiences. By combining Figma design import capabilities with advanced AI analysis, the platform provides actionable insights, user personas, test cases, and recommendations to enhance product usability and user satisfaction.

---

1. Product Overview

1.1 Vision Statement

"To democratize UX research by making advanced user experience analysis accessible to every design team through AI-powered insights and automation."

1.2 Core Value Proposition

• AI-Powered Analysis: Leverage multiple LLM providers (OpenAI, Groq) for comprehensive UX evaluation

• Figma Integration: Seamless design import and analysis from Figma files

• RAG-Enhanced Context: Reference document integration for industry-specific and contextual analysis

• Actionable Insights: Generate personas, test cases, and prioritized recommendations

• Real-time Monitoring: Observability dashboard for system health and performance tracking

1.3 Target Audience

• Primary: UX/UI Designers, Product Managers, Design Teams

• Secondary: Startup founders, Development teams, Design agencies

• Tertiary: Enterprise product teams, Design consultants

---

2. User Experience (UX) Design

2.1 User Journey Mapping

User Journey

2.2 Core User Workflows

Primary Workflow: Design Analysis

1. Project Creation → User creates a new project with strategic context

2. Figma Import → User provides Figma file URL for analysis

3. AI Processing → System analyzes design using selected AI model

4. Results Review → User reviews personas, recommendations, and metrics

5. Action Planning → User prioritizes and acts on recommendations

Secondary Workflow: Project Management

1. Dashboard Overview → User views all projects and progress metrics

2. Project Selection → User selects specific project for detailed view

3. Historical Analysis → User reviews past analysis runs and trends

4. Archive Management → User organizes projects (archive/favorite)

2.3 Information Architecture

2.2 Core User Workflows

Primary Workflow: Design Analysis

1. Project Creation → User creates a new project with strategic context

2. Figma Import → User provides Figma file URL for analysis

3. AI Processing → System analyzes design using selected AI model

4. Results Review → User reviews personas, recommendations, and metrics

5. Action Planning → User prioritizes and acts on recommendations

Secondary Workflow: Project Management

1. Dashboard Overview → User views all projects and progress metrics

2. Project Selection → User selects specific project for detailed view

3. Historical Analysis → User reviews past analysis runs and trends

4. Archive Management → User organizes projects (archive/favorite)

2.3 Information Architecture

Flowchart

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3. User Interface (UI) Design

3.1 Design System

Visual Identity

• Brand Colors: Purple-to-blue gradient (from-purple-700 to-blue-600)

• Typography: System fonts with clear hierarchy

• Spacing: 8px grid system for consistent layouts

• Shadows: Soft, layered shadows for depth

Component Library

• Cards: Glassmorphism style with backdrop blur

• Buttons: Gradient primary, ghost secondary

• Icons: Lucide React icon set

• Forms: Floating label inputs with validation states

3.2 Theme Architecture

Glassmorphism Theme Implementation

/* Core glassmorphism classes */
.glass-card {
  background: rgba(255, 255, 255, 0.6);
  backdrop-filter: blur(10px);
  border: 1px solid rgba(255, 255, 255, 0.2);
  border-radius: 16px;
  box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1);
}

.glass-button {
  background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
  border: none;
  border-radius: 12px;
  transition: all 0.3s ease;
}

3.3 Responsive Design Strategy

Breakpoint System

• Mobile: 320px - 768px (Single column, stacked components)

• Tablet: 768px - 1024px (Two column grid)

• Desktop: 1024px+ (Multi-column layouts with sidebars)

Component Responsiveness

• Navigation: Collapsible sidebar on mobile

• Cards: Flexible grid with min-width constraints

• Charts: Responsive containers with aspect ratio preservation

---

4. Screen Specifications

4.1 Authentication Flow

Login/Signup Screen

• Layout: Split-screen design (branding left, form right)

• Components:

  • Animated logo with rotation

  • Floating label inputs

  • Social auth options

  • Rotating taglines

• Animations: Framer Motion entrance effects

• Responsive: Single column on mobile

4.2 Dashboard Home

Layout Structure

┌─────────────────────────────────────┐
│ Header (Logo, User, Observability)  │
├─────────────────────────────────────┤
│ Hero Steps (3-step process)         │
├─────────────────┬───────────────────┤
│ Projects Panel  │ Progress Overview │
│ (Tabs: Recent,  │ (9 metrics grid)  │
│  Favorites,     │                   │
│  Archived)      │                   │
└─────────────────┴───────────────────┘

Key Features

• Auto-refresh every 30 seconds for live data

• Project filtering and search

• Quick actions (New project, Archive/Unarchive)

• Real-time progress indicators

4.3 Project Detail View

Tab Structure

1. Overview: Analysis history, UX scores timeline

2. Personas: User persona cards with goals/frustrations

3. Metrics: Radar chart with detailed breakdowns

4. Test Cases: Categorized test scenarios

5. Issues: Recommendations with Jira sync

6. References: RAG document management

4.4 Observability Dashboard

Monitoring Sections

• System Health: 9 key metrics in glassmorphism cards

• Live Activity: Real-time event stream

• Error Tracking: Categorized error logs

• LLM Analytics: Token usage and cost tracking

---

5. Data Flow Architecture

5.1 Application Data Flow

---

3. User Interface (UI) Design

3.1 Design System

Visual Identity

• Brand Colors: Purple-to-blue gradient (from-purple-700 to-blue-600)

• Typography: System fonts with clear hierarchy

• Spacing: 8px grid system for consistent layouts

• Shadows: Soft, layered shadows for depth

Component Library

• Cards: Glassmorphism style with backdrop blur

• Buttons: Gradient primary, ghost secondary

• Icons: Lucide React icon set

• Forms: Floating label inputs with validation states

3.2 Theme Architecture

Glassmorphism Theme Implementation

/* Core glassmorphism classes */
.glass-card {
  background: rgba(255, 255, 255, 0.6);
  backdrop-filter: blur(10px);
  border: 1px solid rgba(255, 255, 255, 0.2);
  border-radius: 16px;
  box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1);
}

.glass-button {
  background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
  border: none;
  border-radius: 12px;
  transition: all 0.3s ease;
}

3.3 Responsive Design Strategy

Breakpoint System

• Mobile: 320px - 768px (Single column, stacked components)

• Tablet: 768px - 1024px (Two column grid)

• Desktop: 1024px+ (Multi-column layouts with sidebars)

Component Responsiveness

• Navigation: Collapsible sidebar on mobile

• Cards: Flexible grid with min-width constraints

• Charts: Responsive containers with aspect ratio preservation

---

4. Screen Specifications

4.1 Authentication Flow

Login/Signup Screen

• Layout: Split-screen design (branding left, form right)

• Components:

  • Animated logo with rotation

  • Floating label inputs

  • Social auth options

  • Rotating taglines

• Animations: Framer Motion entrance effects

• Responsive: Single column on mobile

4.2 Dashboard Home

Layout Structure

┌─────────────────────────────────────┐
│ Header (Logo, User, Observability)  │
├─────────────────────────────────────┤
│ Hero Steps (3-step process)         │
├─────────────────┬───────────────────┤
│ Projects Panel  │ Progress Overview │
│ (Tabs: Recent,  │ (9 metrics grid)  │
│  Favorites,     │                   │
│  Archived)      │                   │
└─────────────────┴───────────────────┘

Key Features

• Auto-refresh every 30 seconds for live data

• Project filtering and search

• Quick actions (New project, Archive/Unarchive)

• Real-time progress indicators

4.3 Project Detail View

Tab Structure

1. Overview: Analysis history, UX scores timeline

2. Personas: User persona cards with goals/frustrations

3. Metrics: Radar chart with detailed breakdowns

4. Test Cases: Categorized test scenarios

5. Issues: Recommendations with Jira sync

6. References: RAG document management

4.4 Observability Dashboard

Monitoring Sections

• System Health: 9 key metrics in glassmorphism cards

• Live Activity: Real-time event stream

• Error Tracking: Categorized error logs

• LLM Analytics: Token usage and cost tracking

---

5. Data Flow Architecture

5.1 Application Data Flow

Sequence

5.2 Real-time Data Updates

React Query Implementation

• Cache Strategy: 5-minute stale time for project data

• Background Refetch: Auto-refetch on window focus

• Optimistic Updates: Immediate UI updates for user actions

• Error Boundaries: Graceful error handling with fallbacks

5.3 State Management

Client-side State

• Auth Context: User session and authentication state

• Dashboard Workflow: Project selection and navigation state

• UI State: Modal visibility, active tabs, loading states

---

6. Technical Architecture

6.1 Frontend Architecture

Technology Stack

• Framework: React 18.3.1 with TypeScript

• Build Tool: Vite for fast development and optimized builds

• Styling: Tailwind CSS with custom design system

• Animations: Framer Motion for smooth transitions

• Icons: Lucide React for consistent iconography

Component Architecture

src/
├── components/
│   ├── auth/           # Authentication components
│   ├── dashboard/      # Main dashboard components
│   ├── layout/         # Layout and navigation
│   └── ui/            # Reusable UI components
├── contexts/          # React contexts
├── hooks/             # Custom React hooks
├── pages/             # Route components
└── lib/               # Utility functions

State Management Pattern

• React Query: Server state management and caching

• Context API: Authentication and global UI state

• Custom Hooks: Encapsulated business logic

6.2 Component Design Patterns

Container/Presenter Pattern

• Containers: Handle data fetching and business logic

• Presenters: Pure UI components with props interface

• Hooks: Shared logic extraction for reusability

Error Boundary Strategy

• Global Error Boundary: Catches and reports unhandled errors

• Component-level: Granular error handling for specific features

• Retry Mechanisms: Automatic retry for transient failures

6.3 Performance Optimizations

Code Splitting

• Route-based: Lazy loading for page components

• Component-based: Dynamic imports for heavy components

• Bundle Analysis: Regular bundle size monitoring

Rendering Optimizations

• React.memo: Prevent unnecessary re-renders

• useMemo/useCallback: Expensive calculation caching

• Virtual Scrolling: For large data lists

---

7. Backend Architecture (Supabase)

7.1 Database Schema

Core Tables

projects (id, name, user_id, created_at, is_favourite, archived)
figma_files (id, project_id, figma_url, figma_data, ux_score, status)
personas (id, figma_file_id, name, title, summary, goals, frustrations)
recommendations (id, figma_file_id, summary, priority, action_items)
test_cases (id, figma_file_id, title, description, test_type)
reference_documents (id, project_id, title, source_type, processing_status)
document_chunks (id, document_id, chunk_text, embedding, chunk_index)

Relationships

• Projects → Figma Files (1:many)

• Figma Files → Personas/Recommendations/Test Cases (1:many)

• Projects → Reference Documents (1:many)

• Reference Documents → Document Chunks (1:many)

7.2 Row Level Security (RLS)

Security Policies

-- Projects: Users can only access their own projects
CREATE POLICY "Users can access own projects" ON projects
  FOR ALL USING (auth.uid() = user_id);

-- Figma Files: Access through project ownership
CREATE POLICY "Users can access own figma files" ON figma_files
  FOR ALL USING (auth.uid() = user_id);

7.3 Edge Functions

Function Architecture

1. figma-import: Processes Figma files and extracts design data

2. run-analysis: Orchestrates AI analysis with RAG context

3. process-document: Handles reference document chunking and embedding

4. enhance-recommendations: Enriches recommendations with context

Error Handling Strategy

• Exponential Backoff: Retry logic for API calls

• Circuit Breaker: Prevent cascade failures

• Graceful Degradation: Synthetic data fallbacks

---

8. Security Implementation

8.1 Authentication & Authorization

Supabase Auth Integration

• Email/Password: Primary authentication method

• Session Management: JWT tokens with automatic refresh

• Protected Routes: Route-level authentication guards

Security Headers

const corsHeaders = {
  'Access-Control-Allow-Origin': '*',
  'Access-Control-Allow-Headers': 'authorization, x-client-info, apikey, content-type',
}

8.2 Data Protection

Encryption

• At Rest: Supabase native encryption for database

• In Transit: HTTPS/TLS for all API communications

• API Keys: Secure secret management via Supabase vault

Input Validation

• Zod Schemas: Runtime type validation

• Sanitization: SQL injection prevention

• Rate Limiting: API abuse protection

8.3 Privacy Compliance

Data Handling

• User Data: Stored in Supabase with proper isolation

• Figma Data: Temporary processing, no permanent storage of design files

• AI Processing: Data sent to AI providers with user consent

---

9. AI Integration & RAG Implementation

9.1 Multi-Provider AI Strategy

Provider Configuration

const aiProviders = {
  openai: {
    models: ['gpt-4o-mini', 'gpt-4o'],
    primary: true
  },
  groq: {
    models: ['llama-3.1-70b-versatile', 'llama-3.1-8b-instant'],
    fallback: true
  }
}

Analysis Pipeline

1. Design Data Extraction: Parse Figma API response

2. Context Retrieval: RAG-based relevant document search

3. Prompt Engineering: Structured prompts with business context

4. AI Processing: Multi-model analysis with fallbacks

5. Result Parsing: Structured JSON output validation

9.2 RAG (Retrieval-Augmented Generation)

Vector Database Integration

• Embeddings: OpenAI text-embedding-3-small model

• Storage: Supabase pgvector extension

• Search: Cosine similarity with configurable thresholds

Document Processing Pipeline

Document → Chunking → Embedding → Vector Storage → Retrieval

Context Enhancement

• Business Objectives: Strategic context integration

• Industry Knowledge: Domain-specific reference materials

• Best Practices: UX guideline incorporation

9.3 Prompt Engineering

Structured Prompt Template

const analysisPrompt = `
You are a senior UX design analyst. Your analysis must be guided by:
- Business Objective: ${taskObjective}
- Industry Context: ${strategicContext}
- Reference Materials: ${relevantContext}

Generate analysis in JSON format with:
- personas: 5 distinct user types
- testCases: 4 scenario-based tests
- recommendations: 3-5 prioritized improvements
- uxAnalysis: Scored breakdown across 7 dimensions
`;

---

10. Performance & Scalability

10.1 Frontend Performance

Optimization Strategies

• Code Splitting: Route and component-level lazy loading

• Image Optimization: WebP format with fallbacks

• Bundle Size: Target <500KB initial load

• Core Web Vitals: LCP <2.5s, FID <100ms, CLS <0.1

Caching Strategy

const queryClient = new QueryClient({
  defaultOptions: {
    queries: {
      staleTime: 5 * 60 * 1000, // 5 minutes
      cacheTime: 10 * 60 * 1000, // 10 minutes
      refetchOnWindowFocus: true
    }
  }
});

10.2 Backend Scalability

Database Optimization

• Indexing: Strategic indexes on frequently queried columns

• Connection Pooling: Supabase managed connections

• Query Optimization: Efficient SQL with proper joins

Edge Function Performance

• Cold Start Mitigation: Lightweight function initialization

• Timeout Handling: 2-minute limits with background tasks

• Resource Management: Memory-efficient processing

10.3 Monitoring & Observability

Real-time Metrics

• System Health: 9 key performance indicators

• Error Tracking: Categorized error logs with stack traces

• LLM Analytics: Token usage, response times, cost tracking

• User Activity: Session duration, feature usage patterns

FinOps Panel Features:

• Monthly spend tracking with breakdown by service (OpenAI, Figma API, Embeddings)

• Cost per analysis and budget utilization metrics

• Interactive charts showing spend breakdown and monthly trends

• Budget alerts when approaching limits

• Token usage and efficiency scoring

AI Evals Panel Features:

• Analysis quality scores and response time monitoring

• RAG accuracy and user satisfaction metrics

• Token efficiency and error rate tracking

• Performance trend charts and radar visualization

• Status indicators (excellent/good/warning/poor) for each metric

Key Implementation Details:

• Created focused, reusable components following the existing design theme

• Used glassmorphism styling to match the observability dashboard

• Added real-time data fetching with 30-second refresh intervals

• Integrated with the new database tables for cost and evaluation tracking

• Included fallback to mock data for demonstration purposes

• Added progressive enhancement with status indicators and target tracking

The features will help users monitor their AI costs and model performance effectively, following modern AI-native app patterns.

---

11. Development & Deployment

11.1 Development Workflow

Environment Setup

# Development stack
npm install
npm run dev          # Start Vite dev server
supabase start       # Local Supabase instance

Code Quality

• ESLint: JavaScript/TypeScript linting

• Prettier: Code formatting

• TypeScript: Strict type checking

• Husky: Pre-commit hooks

11.2 CI/CD Pipeline

Deployment Strategy

• Preview Deployments: Branch-based preview environments

• Production Deployment: Main branch automatic deployment

• Database Migrations: Automated via Supabase CLI

• Edge Functions: Auto-deployment with code changes

11.3 Testing Strategy

Testing Pyramid

1. Unit Tests: Component and utility function testing

2. Integration Tests: API and database interaction testing

3. E2E Tests: Critical user journey automation

4. Performance Tests: Load testing for scalability validation

Key Implementation Details:

• Created focused, reusable components following the existing design theme

• Used glassmorphism styling to match the observability dashboard

• Added real-time data fetching with 30-second refresh intervals

• Integrated with the new database tables for cost and evaluation tracking

• Included fallback to mock data for demonstration purposes

• Added progressive enhancement with status indicators and target tracking

The panels are now seamlessly integrated at the bottom of the ObservabilityDashboard and will help users monitor their AI costs and model performance effectively, following modern AI-native app patterns.

---

12. Future Enhancements & Recommendations

12.1 Immediate Improvements (Next 3 Months)

Feature Enhancements

1. Team Collaboration

   • Multi-user project access

   • Comment system on recommendations

   • Role-based permissions (Admin, Editor, Viewer)

2. Enhanced AI Analysis

   • Custom analysis templates

   • Industry-specific analysis modes

   • Comparative analysis between design versions

3. Integration Expansions

   • Slack/Discord notifications

   • Jira ticket creation (currently mock)

   • Figma plugin for direct integration

12.2 Medium-term Goals (6 Months)

Advanced Analytics

1. Predictive UX Scoring

   • Machine learning models for UX prediction

   • Trend analysis across design iterations

   • Benchmark comparisons with industry standards

2. Advanced RAG Capabilities

   • Multi-modal document processing (images, videos)

   • Real-time web scraping for latest UX trends

   • Custom knowledge base creation

3. Enterprise Features

   • SSO integration (SAML, OAuth)

   • Advanced user management

   • Custom branding and white-labeling

12.3 Long-term Vision (12+ Months)

Platform Evolution

1. AI-Powered Design Assistant

   • Real-time design feedback during creation

   • Automated design generation based on requirements

   • Smart component library recommendations

2. Advanced User Research

   • Automated user testing orchestration

   • A/B testing integration

   • User behavior prediction models

3. Market Expansion

   • Mobile app development

   • API marketplace for third-party integrations

   • Community-driven template library

12.4 Technical Debt & Infrastructure

Performance Optimizations

• Database Sharding: For large-scale data management

• CDN Implementation: Global content delivery

• Advanced Caching: Redis integration for complex queries

Security Enhancements

• SOC 2 Compliance: Enterprise security standards

• Advanced Monitoring: Security event detection

• Data Residency: Region-specific data storage options

12.5 User Experience Improvements

Accessibility Enhancements

• WCAG 2.1 AA Compliance: Full accessibility support

• Keyboard Navigation: Complete keyboard-only usage

• Screen Reader Optimization: Enhanced assistive technology support

Personalization Features

• Custom Dashboards: User-configurable widgets

• Notification Preferences: Granular notification control

• Theme Customization: User-selectable color schemes

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Conclusion

UXGrounded represents a comprehensive solution for AI-powered UX research, combining cutting-edge technology with user-centered design principles. The platform's modular architecture enables rapid iteration and scaling while maintaining security and performance standards.

The glassmorphism design theme creates a modern, premium experience that appeals to design professionals, while the robust technical foundation ensures reliability and scalability for growing teams and enterprises.

Key Success Metrics

• User Adoption: Monthly active users and retention rates

• Analysis Quality: User satisfaction with AI-generated insights

• Performance: Sub-3-second analysis completion times

• Accuracy: 90%+ user agreement with AI recommendations

This technical specification provides a roadmap for continued development and enhancement, positioning UXGrounded as the leading AI copilot for UX research and design optimization.