PM33 vs Dragonboat
AI-native strategic intelligence at a fraction of the cost
Feature-by-Feature Comparison
See exactly why teams choose PM33 over Dragonboat.
| Feature | PM33 | Dragonboat |
|---|---|---|
| AI Integration | Native MCPWinner | No AI |
| Strategy Alignment | Theme to sprint levelWinner | Portfolio level only |
| Scheduling | Two-tier optimizationWinner | Manual capacity planning |
| Prioritization | Multi-framework engineWinner | Basic scoring models |
| Competitive Intelligence | Built-in + AIWinner | Not available |
Why Teams Choose PM33 Over Dragonboat
Real results from teams that made the switch.
"Dragonboat handled portfolio-level planning but the connection to sprint execution was manual. PM33 traces alignment from strategic themes all the way through individual sprint items."
Pricing Comparison
See how much you'll save with PM33
PM33
- AI-powered strategic intelligence via MCP
- Multi-framework prioritization engine
- Strategy-to-execution alignment scoring
- Connects to Jira, Linear, Asana
Dragonboat
- No AI
- Portfolio level only
- Manual capacity planning
- Basic scoring models
Frequently Asked Questions
Common questions about PM33 vs Dragonboat.
Can PM33 replace Dragonboat for portfolio management?
Yes. PM33 covers portfolio strategy, roadmapping, prioritization, capacity planning, and execution tracking. It goes further by adding AI-native intelligence, competitive tracking, and sprint-level alignment scoring.
Do I need to migrate off Jira to use PM33?
No. PM33 connects directly to Jira, Linear, and Asana. Your engineering teams keep their existing workflows.
How does MCP integration work in practice?
MCP gives Claude direct, secure access to your PM33 data. When you ask Claude to draft a PRD, analyze sprint performance, or assess alignment, it queries your actual backlog, velocity history, and competitive data.
Make the Switch →
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AI-native intelligence • 10-19x lower cost • Sprint-level alignment