TRAST Documentation
TRAST.spaceConnect
  • Introduction
    • What is TRAST?
    • TRAST Litepaper
    • Trust System
    • Mechanics
    • Core Concepts
  • Getting Started
    • Quick Start Guide
    • Beta Information
    • Understanding Trust Scores
  • Platform Features
    • Platform Overview
    • Core Infrastructure
      • Vote Staking
      • Trust & Reviews
      • TRAST Premium
      • Verification
      • Feature Specifications
      • Tokenomics Analysis (Planned)
    • PayAI & Marketplace
      • PayAI System
      • TRAST Marketplace
      • TRAST.fun (Planned)
      • Advanced Platform Features
      • Bridge to XRPL
    • User Interaction
      • Inline Search
      • Live Feed
      • Commenting System
      • Identity Integration
      • Smart Onboarding
      • Monetization Options
    • Chat System
      • Chat Rooms
      • Specialized Rooms
      • Two-Tier Rooms
    • Platform Analytics
  • Technical Documentation
    • Technical Overview
    • Core Architecture
      • Design & Implementation
      • Security & Trust
      • Infrastructure Costs
    • AI Systems
      • Bot System
      • AI Chat Guide
      • AI Scam Radar
      • AI Review Copilot & TrustDigest
      • Content Agent
    • Advanced Features
      • Bot Outputs
      • Customization & Integrations
  • Community
    • Guidelines
      • Communication Style
      • Communication Playbook
      • Community Features
    • Engagement & Rewards
      • Community Incentives
      • Premium Features (Gem Hunters)
      • TRAST Reflections (Blog)
  • Resources
    • Use Cases
      • Overview
      • Detailed Examples
      • Real World Scenarios
    • Support & Contact
      • Contact Information & Company Details
      • Support Center
  • Token
    • Economics
      • Financial Model
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On this page
  • Introduction
  • The first steps
  • Welcome experience
  • Contextual guidance
  • Learning journey
  • Progressive discovery
  • Interactive learning
  • Smart assistance
  • Context-aware help
  • Proactive support
  • Personalization
  • User profiling
  • Custom learning paths
  • Community integration
  • Social learning
  • Peer support
  • Best practices
  • For new users
  • For community
  • Success metrics
  • User progress
  • Learning outcomes
  • Conclusion
  • Related resources
  1. Platform Features
  2. User Interaction

Smart Onboarding

Experience TRAST's smart onboarding process, guiding new users through verification, profile setup, and core feature discovery.

Introduction

First impressions matter. Trast's ai-powered onboarding system ensures every new user receives a personalized, seamless introduction to the platform. By combining contextual awareness with intelligent guidance, the system helps users discover and master platform features at their own pace.

The first steps

Welcome experience

When a new user joins TRAST, they're greeted with:

👋 Welcome message
"Welcome to TRAST! I'm your AI assistant, here to help you explore and succeed in the crypto world."

🎯 Quick start options
[start tutorial] [explore features] [quick search]

Contextual guidance

The AI system provides real-time assistance based on user actions:

🔍 First search
"Try searching for a project:
1. use @TRAST search [project]
2. View instant trust metrics
3. Read community reviews"

📝 First review
"Ready to share your experience?
- Rate the project (1-5 stars)
- Share your insights
- Add supporting evidence"

Learning journey

Progressive discovery

The system introduces features gradually:

  1. Basic features (day 1)

    • Project search

    • Basic reviews

    • Trust scores

    • Community chat

  2. Advanced features (week 1)

    • Detailed analysis

    • Custom alerts

    • Market insights

    • Community roles

  3. Expert features (month 1)

    • API Access

    • Custom dashboards

    • Advanced analytics

    • Leadership roles

Interactive learning

📚 Tutorial elements
- Interactive demos
- Practice exercises
- Real-world examples
- Instant feedback

🎮 Gamified progress
- Achievement badges
- Level progression
- Skill tree unlocks
- Learning rewards

Smart assistance

Context-aware help

The AI monitors user activity and provides relevant assistance:

💡 Example scenarios

New project search:
"Looking for a new DEX? Here are key metrics to check:
- Liquidity depth
- Trading volume
- User reviews
- Security score"

Market analysis:
"Analyzing market trends? Try these tools:
- Price charts
- Volume analysis
- Trend indicators
- Community sentiment"

Proactive support

⚡ Smart triggers
- Feature discovery prompts
- Usage tips
- Best practice reminders
- Community connections

Personalization

User profiling

The system adapts to different user types:

👥 Profile types

Trader:
- Trading features
- Market analysis
- Quick actions
- Real-time alerts

Investor:
- Due diligence tools
- Long-term metrics
- Project research
- Risk analysis

Developer:
- Technical docs
- API Access
- Integration guides
- Developer tools

Custom learning paths

🎯 Path elements
- Skill assessment
- Goal setting
- Progress tracking
- Achievement system

Community integration

Social learning

The system encourages community interaction:

🤝 Community features
- Group discussions
- Expert mentoring
- Knowledge sharing
- Collaborative learning

Peer support

💪 Support network
- Community guides
- User mentors
- Help channels
- Group learning

Best practices

For new users

  1. Complete the welcome tutorial

  2. Start with basic features

  3. Join community discussions

  4. Practice with demos

  5. Ask for help when needed

For community

  1. Welcome new members

  2. Share knowledge

  3. Provide feedback

  4. Support learning

  5. Build connections

Success metrics

User progress

The system tracks key indicators:

📊 Progress metrics
- Feature adoption rate
- Task completion
- Activity levels
- Community engagement

Learning outcomes

🎓 Success indicators
- Feature mastery
- Active participation
- Quality contributions
- Community integration

Conclusion

Trast's smart onboarding system transforms new users into active community members through personalized guidance, intelligent assistance, and community support. By adapting to each user's needs and learning pace, the system ensures a successful and engaging platform experience.

Related resources

PreviousIdentity IntegrationNextMonetization Options

Last updated 11 days ago

user guide
feature documentation
community guidelines
technical details