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Lean Canvas: Voice AI Assistant

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Documentation Map

Product Vision

1. Problem

• 1.1. Key Problems
  • 1.1.1. Manual time tracking creates cognitive overhead
  • 1.1.2. Lack of intelligent task prioritization
  • 1.1.3. Poor work-life balance management
• 1.2. Existing Alternatives
  • 1.2.1. Traditional time tracking tools (Toggl, RescueTime)
  • 1.2.2. Task management systems (Jira, Trello)
  • 1.2.3. Calendar apps

2. Customer Segments

• 2.1. Target Customers
  • 2.1.1. Indie developers (initial focus)
  • 2.1.2. Solo entrepreneurs
  • 2.1.3. Knowledge workers

3. Unique Value Proposition

• 3.1. Core Value
  • 3.1.1. AI-powered personal productivity assistant
  • 3.1.2. Automated time and task optimization
  • 3.1.3. Intelligent work-life balance management

4. Solution

• 4.1. Key Features
  • 4.1.1. AI-driven task monitoring
  • 4.1.2. Automated time tracking
  • 4.1.3. Smart notifications and adjustments

5. Channels

• 5.1. Distribution
  • 5.1.1. Direct web application
  • 5.1.2. Developer communities
  • 5.1.3. Product Hunt launch

6. Revenue Streams

• 6.1. Monetization
  • 6.1.1. Freemium model
  • 6.1.2. Premium features subscription
  • 6.1.3. API access for integrations

7. Cost Structure

• 7.1. Fixed Costs
  • 7.1.1. Infrastructure (AWS/GCP)
  • 7.1.2. OpenAI API usage
  • 7.1.3. Development tools

8. Key Metrics

• 8.1. Success Indicators
  • 8.1.1. User productivity improvement
  • 8.1.2. Time tracking accuracy
  • 8.1.3. Task completion rate

9. Unfair Advantage

• 9.1. Competitive Edge
  • 9.1.1. AI-first approach
  • 9.1.2. Developer-centric design
  • 9.1.3. Integration capabilities

10. Validation Tracking

• 10.1. Hypothesis Status
  • 10.1.1. Problem validation status
  • 10.1.2. Solution validation status
  • 10.1.3. Business model validation status
• 10.2. Pivot/Persevere Decisions
  • 10.2.1. Key learnings
  • 10.2.2. Pivot considerations
  • 10.2.3. Next experiments