@cloudkinetix/bmad-enhanced
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Cloud-Kinetix enhanced fork of BMAD-METHOD - Breakthrough Method of Agile AI-driven Development with robust versioning and unified validation.
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# Domain Research Task
## Purpose
Conduct comprehensive research about the domain and problem space before designing AI agents, ensuring evidence-based design decisions.
## Task Instructions
### 1. Problem Space Analysis
[[LLM: Research the specific domain thoroughly]]
Research areas:
- Industry context and challenges
- Existing solutions and their limitations
- User personas and needs
- Technical constraints and opportunities
### 2. Competitive Analysis
Analyze existing solutions:
- Direct competitors
- Adjacent solutions
- Best practices
- Gap analysis
### 3. Technical Landscape
Research technical approaches:
- Relevant AI/ML techniques
- Model capabilities and limitations
- Integration patterns
- Performance considerations
### 4. Create Research Summary
Document findings:
- Key insights
- Recommended approaches
- Risk factors
- Technical requirements
## Success Criteria
- Comprehensive domain understanding
- Clear problem definition
- Informed technical recommendations
- Evidence-based design foundation
## Notes
This is a stub task created for workflow compatibility.
Full implementation should include detailed research methodologies.