Initial commit: Backend API Phase 1a complete
- FastAPI backend with JWT auth - PostgreSQL database schema - Trees and Sessions CRUD APIs - Export functionality (Markdown, Text, HTML) - Docker setup for local development - Alembic migrations
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01-PROJECT-OVERVIEW.md
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# Troubleshooting Decision Tree Application
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## Project Overview
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### Vision
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A decision tree troubleshooting application designed for MSP engineers to transform diagnostic processes into clean, professional documentation automatically.
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### Core Problem
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MSP engineers like Michael face constant context switching between diverse technical issues (file shares, server outages, VPN failures, Active Directory problems). Each context switch:
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- Takes 15-25 minutes to regain full focus
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- Creates cognitive overhead and attention residue
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- Contributes to burnout (research-backed)
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- Makes consistent documentation challenging
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- Results in lost tribal knowledge
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### Solution
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An intelligent decision tree system that:
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- Guides engineers through proven troubleshooting paths
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- Captures decisions and notes automatically
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- Generates professional ticket documentation
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- Builds institutional knowledge
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- Reduces cognitive load during high-stress situations
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### Success Criteria
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**3-Month Goal:** Michael uses this tool for 50% of his tickets
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**Key Metrics:**
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- Time saved per ticket
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- Documentation quality improvement
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- Reduction in "what did I do?" moments
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- Team adoption rate
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- Reduction in repeated troubleshooting attempts
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### Target Users
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**Primary:** Senior Systems Engineers at MSPs managing Windows Server, Active Directory, Citrix, networking equipment
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**Secondary:**
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- Junior engineers needing guided troubleshooting
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- Onsite technicians following remote engineer instructions
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- MSP teams wanting standardized procedures
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### Key Differentiators
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1. **Automatic documentation generation** - No separate note-taking step
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2. **On-the-fly customization** - Add custom branches when encountering edge cases
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3. **Learning system** - Tracks common paths, suggests optimizations
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4. **Automation integration** - Execute PowerShell/scripts directly from decision nodes
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5. **Knowledge hub** - Links to documentation, KB articles, tutorials at each step
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6. **Team collaboration** - Controlled authorship with shared access
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### Potential Market
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- 30,000+ MSPs in North America alone
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- Average MSP has 15-50 technical staff
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- Adjacent markets: Internal IT teams, DevOps, Technical Support
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### Monetization Possibilities
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- **Free Tier:** Personal use, limited trees
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- **Pro Tier:** Team sharing, unlimited trees, analytics
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- **Enterprise:** API access, SSO, custom branding, white-label
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- **Marketplace:** Community-contributed trees (revenue share)
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- **Consulting:** Custom tree development services
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- **Integrations:** Paid add-ons for ConnectWise, Kaseya, etc.
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### Name Ideas (To Workshop)
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- TroubleTree
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- DecisionPath
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- MSP Navigator
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- FlowDoc
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- DiagnosticFlow
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- PathFinder
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- TechTree
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- TicketFlow
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- DiagPath
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### Competitive Landscape
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**Current Solutions:**
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- Static runbooks/wiki pages (not interactive)
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- Flowchart tools (not designed for real-time troubleshooting)
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- Ticketing system templates (limited branching logic)
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- Decision tree software (too generic, not MSP-focused)
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**Our Advantage:**
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Purpose-built for technical troubleshooting with automation integration and automatic documentation generation.
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### Technology Philosophy
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- **Web-first:** Accessible anywhere, no installation
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- **Progressive enhancement:** Works offline, syncs when online
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- **API-driven:** Backend separate from frontend for flexibility
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- **Extensible:** Plugin architecture for integrations
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- **Open-source friendly:** Consider open-sourcing core, monetize integrations/hosting
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### Project Status
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**Current Phase:** Planning and Architecture
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**Next Phase:** MVP Development (Weeks 1-3)
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**Target MVP Date:** 3 weeks from project start
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**Target Production Date:** 6-8 weeks from project start
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