Introduction to Evidence-Based Architecture
David Kim
Head of Engineering
What is Evidence-Based Architecture?
Evidence-based architecture is an approach to architecture governance that emphasizes the collection, organization, and use of concrete evidence to support architectural decisions and demonstrate compliance.
Rather than relying on assumptions or undocumented decisions, this approach ensures that every significant architecture choice is backed by documented rationale, analysis, and approval.
Why Evidence Matters
For Audits
Regulatory and internal audits require proof of compliance. Without proper evidence, organizations risk:
- Audit findings and remediation costs
- Regulatory penalties
- Loss of certifications
- Reputational damage
For Knowledge Management
Evidence serves as organizational memory:
- New team members can understand past decisions
- Teams can avoid repeating mistakes
- Successful patterns can be identified and reused
For Risk Management
Documented evidence helps identify and manage risks:
- Decision rationale captures risk considerations
- Approval records show risk acceptance
- Trend analysis reveals emerging risk patterns
Types of Evidence
Decision Records
Document the "what" and "why" of architecture decisions:
- Problem statement
- Options considered
- Selected approach
- Rationale
- Trade-offs accepted
Compliance Artifacts
Prove adherence to standards and requirements:
- Security assessments
- Performance test results
- Accessibility reviews
- Standard compliance checklists
Approval Documentation
Record who approved what and when:
- Review comments
- Approval signatures
- Condition waivers
- Exception grants
Supporting Analysis
Provide depth behind decisions:
- Cost-benefit analyses
- Risk assessments
- Technical evaluations
- Vendor comparisons
Building an Evidence Library
Step 1: Define Your Evidence Requirements
Start by identifying:
- What standards and regulations apply?
- What evidence is required for compliance?
- What decisions need to be documented?
Step 2: Establish Evidence Templates
Create standardized templates for:
- Architecture decision records
- Review checklists
- Approval forms
- Risk assessments
Templates ensure consistency and completeness.
Step 3: Implement Collection Processes
Design processes that:
- Capture evidence at the right time
- Minimize friction for teams
- Ensure nothing is missed
- Maintain quality standards
Step 4: Organize for Retrieval
Structure your evidence library for easy access:
- Clear categorization scheme
- Consistent naming conventions
- Powerful search capabilities
- Logical relationships between artifacts
Step 5: Maintain Currency
Keep your evidence current:
- Regular review cycles
- Archival processes
- Version control
- Sunset procedures
Best Practices
1. Automate Collection
Manual evidence collection is error-prone and time-consuming. Automate wherever possible:
- Integrate with development tools
- Auto-generate documentation
- Trigger collection at key process points
2. Focus on Quality
More evidence isn't always better. Focus on:
- Relevance to requirements
- Clarity of content
- Completeness of information
- Accuracy of details
3. Make It Accessible
Evidence is only valuable if it can be found:
- Provide robust search
- Enable filtering and sorting
- Support various access methods
- Maintain appropriate permissions
4. Link Evidence to Decisions
Create clear connections between:
- Evidence and the decisions it supports
- Decisions and the projects they affect
- Projects and the standards they must meet
Common Challenges
Information Overload
Solution: Define clear scope and retention policies
Inconsistent Quality
Solution: Implement templates and review processes
Poor Adoption
Solution: Make evidence collection part of existing workflows
Difficult Retrieval
Solution: Invest in organization and search capabilities
Measuring Success
Track these metrics:
- Evidence collection rate
- Audit preparation time
- Finding closure time
- Team satisfaction scores
Getting Started
If you're new to evidence-based architecture:
- Start with your highest-risk decisions
- Use simple templates initially
- Focus on a single project type first
- Gather feedback and iterate
The investment in evidence-based architecture pays dividends in reduced audit effort, better decisions, and improved organizational learning.
David Kim
Head of Engineering
Passionate about enterprise architecture and helping organizations build better systems.