# Technical/Architecture Research Instructions
The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml
You MUST have already loaded and processed: {installed_path}/workflow.yaml
This workflow conducts technical research for architecture and technology decisions
Understand the technical research requirements
**Welcome to Technical/Architecture Research!**
What technical decision or research do you need?
Common scenarios:
- Evaluate technology stack for a new project
- Compare frameworks or libraries (React vs Vue, Postgres vs MongoDB)
- Research architecture patterns (microservices, event-driven, CQRS)
- Investigate specific technologies or tools
- Best practices for specific use cases
- Performance and scalability considerations
- Security and compliance research
technical_question
What's the context for this decision?
- New greenfield project
- Adding to existing system (brownfield)
- Refactoring/modernizing legacy system
- Proof of concept / prototype
- Production-ready implementation
- Academic/learning purpose
project_context
Gather requirements and constraints that will guide the research
**Let's define your technical requirements:**
**Functional Requirements** - What must the technology do?
Examples:
- Handle 1M requests per day
- Support real-time data processing
- Provide full-text search capabilities
- Enable offline-first mobile app
- Support multi-tenancy
functional_requirements
**Non-Functional Requirements** - Performance, scalability, security needs?
Consider:
- Performance targets (latency, throughput)
- Scalability requirements (users, data volume)
- Reliability and availability needs
- Security and compliance requirements
- Maintainability and developer experience
non_functional_requirements
**Constraints** - What limitations or requirements exist?
- Programming language preferences or requirements
- Cloud platform (AWS, Azure, GCP, on-prem)
- Budget constraints
- Team expertise and skills
- Timeline and urgency
- Existing technology stack (if brownfield)
- Open source vs commercial requirements
- Licensing considerations
technical_constraints
Research and identify technology options to evaluate
Do you have specific technologies in mind to compare, or should I discover options?
If you have specific options, list them. Otherwise, I'll research current leading solutions based on your requirements.
user_provided_options
Conduct web research to identify current leading solutions
Search for:
- "[technical_category] best tools 2025"
- "[technical_category] comparison [use_case]"
- "[technical_category] production experiences reddit"
- "State of [technical_category] 2025"
{project-root}/bmad/core/tasks/adv-elicit.xml
Present discovered options (typically 3-5 main candidates)
technology_options
Research each technology option in depth
For each technology option, research thoroughly
Research and document:
**Overview:**
- What is it and what problem does it solve?
- Maturity level (experimental, stable, mature, legacy)
- Community size and activity
- Maintenance status and release cadence
**Technical Characteristics:**
- Architecture and design philosophy
- Core features and capabilities
- Performance characteristics
- Scalability approach
- Integration capabilities
**Developer Experience:**
- Learning curve
- Documentation quality
- Tooling ecosystem
- Testing support
- Debugging capabilities
**Operations:**
- Deployment complexity
- Monitoring and observability
- Operational overhead
- Cloud provider support
- Container/K8s compatibility
**Ecosystem:**
- Available libraries and plugins
- Third-party integrations
- Commercial support options
- Training and educational resources
**Community and Adoption:**
- GitHub stars/contributors (if applicable)
- Production usage examples
- Case studies from similar use cases
- Community support channels
- Job market demand
**Costs:**
- Licensing model
- Hosting/infrastructure costs
- Support costs
- Training costs
- Total cost of ownership estimate
{project-root}/bmad/core/tasks/adv-elicit.xml
tech*profile*{{option_number}}
Create structured comparison across all options
**Create comparison matrices:**
Generate comparison table with key dimensions:
**Comparison Dimensions:**
1. **Meets Requirements** - How well does each meet functional requirements?
2. **Performance** - Speed, latency, throughput benchmarks
3. **Scalability** - Horizontal/vertical scaling capabilities
4. **Complexity** - Learning curve and operational complexity
5. **Ecosystem** - Maturity, community, libraries, tools
6. **Cost** - Total cost of ownership
7. **Risk** - Maturity, vendor lock-in, abandonment risk
8. **Developer Experience** - Productivity, debugging, testing
9. **Operations** - Deployment, monitoring, maintenance
10. **Future-Proofing** - Roadmap, innovation, sustainability
Rate each option on relevant dimensions (High/Medium/Low or 1-5 scale)
comparative_analysis
Analyze trade-offs between options
**Identify key trade-offs:**
For each pair of leading options, identify trade-offs:
- What do you gain by choosing Option A over Option B?
- What do you sacrifice?
- Under what conditions would you choose one vs the other?
**Decision factors by priority:**
What are your top 3 decision factors?
Examples:
- Time to market
- Performance
- Developer productivity
- Operational simplicity
- Cost efficiency
- Future flexibility
- Team expertise match
- Community and support
decision_priorities
Weight the comparison analysis by decision priorities
weighted_analysis
Evaluate fit for specific use case
**Match technologies to your specific use case:**
Based on:
- Your functional and non-functional requirements
- Your constraints (team, budget, timeline)
- Your context (greenfield vs brownfield)
- Your decision priorities
Analyze which option(s) best fit your specific scenario.
Are there any specific concerns or "must-haves" that would immediately eliminate any options?
use_case_fit
Gather production experience evidence
**Search for real-world experiences:**
For top 2-3 candidates:
- Production war stories and lessons learned
- Known issues and gotchas
- Migration experiences (if replacing existing tech)
- Performance benchmarks from real deployments
- Team scaling experiences
- Reddit/HackerNews discussions
- Conference talks and blog posts from practitioners
real_world_evidence
If researching architecture patterns, provide pattern analysis
Are you researching architecture patterns (microservices, event-driven, etc.)?
Research and document:
**Pattern Overview:**
- Core principles and concepts
- When to use vs when not to use
- Prerequisites and foundations
**Implementation Considerations:**
- Technology choices for the pattern
- Reference architectures
- Common pitfalls and anti-patterns
- Migration path from current state
**Trade-offs:**
- Benefits and drawbacks
- Complexity vs benefits analysis
- Team skill requirements
- Operational overhead
architecture_pattern_analysis
Synthesize research into clear recommendations
**Generate recommendations:**
**Top Recommendation:**
- Primary technology choice with rationale
- Why it best fits your requirements and constraints
- Key benefits for your use case
- Risks and mitigation strategies
**Alternative Options:**
- Second and third choices
- When you might choose them instead
- Scenarios where they would be better
**Implementation Roadmap:**
- Proof of concept approach
- Key decisions to make during implementation
- Migration path (if applicable)
- Success criteria and validation approach
**Risk Mitigation:**
- Identified risks and mitigation plans
- Contingency options if primary choice doesn't work
- Exit strategy considerations
{project-root}/bmad/core/tasks/adv-elicit.xml
recommendations
Create architecture decision record (ADR) template
**Generate Architecture Decision Record:**
Create ADR format documentation:
```markdown
# ADR-XXX: [Decision Title]
## Status
[Proposed | Accepted | Superseded]
## Context
[Technical context and problem statement]
## Decision Drivers
[Key factors influencing the decision]
## Considered Options
[Technologies/approaches evaluated]
## Decision
[Chosen option and rationale]
## Consequences
**Positive:**
- [Benefits of this choice]
**Negative:**
- [Drawbacks and risks]
**Neutral:**
- [Other impacts]
## Implementation Notes
[Key considerations for implementation]
## References
[Links to research, benchmarks, case studies]
```
architecture_decision_record
Compile complete technical research report
**Your Technical Research Report includes:**
1. **Executive Summary** - Key findings and recommendation
2. **Requirements and Constraints** - What guided the research
3. **Technology Options** - All candidates evaluated
4. **Detailed Profiles** - Deep dive on each option
5. **Comparative Analysis** - Side-by-side comparison
6. **Trade-off Analysis** - Key decision factors
7. **Real-World Evidence** - Production experiences
8. **Recommendations** - Detailed recommendation with rationale
9. **Architecture Decision Record** - Formal decision documentation
10. **Next Steps** - Implementation roadmap
Save complete report to {default_output_file}
Would you like to:
1. Deep dive into specific technology
2. Research implementation patterns for chosen technology
3. Generate proof-of-concept plan
4. Create deep research prompt for ongoing investigation
5. Exit workflow
Select option (1-5):
LOAD: {installed_path}/instructions-deep-prompt.md
Pre-populate with technical research context
Load the FULL file: {output_folder}/bmm-workflow-status.yaml
Find workflow_status key "research"
ONLY write the file path as the status value - no other text, notes, or metadata
Update workflow_status["research"] = "{output_folder}/bmm-research-technical-{{date}}.md"
Save file, preserving ALL comments and structure including STATUS DEFINITIONS
Find first non-completed workflow in workflow_status (next workflow to do)
Determine next agent from path file based on next workflow