Technical Specification & Design Documents
Expert guidance for writing effective technical design documents, RFCs, Architecture Decision Records, and technology evaluation frameworks.
Core Philosophy Write before code — Design documents prevent costly rework and align teams Living documents — Keep docs updated as the system evolves Clarity over completeness — Simple, direct language reduces cognitive load Diagrams as code — Version-controlled, maintainable architecture diagrams Decisions over descriptions — Document why, not just what Hard Rules (Must Follow)
These rules are mandatory. Violating them means the skill is not working correctly.
Alternatives Required
Every design document must include at least 2 alternative solutions.
❌ FORBIDDEN:
Solution
We will use PostgreSQL for the database. (No alternatives considered)
✅ REQUIRED:
Proposed Solution
PostgreSQL for primary database.
Alternatives Considered
Option A: PostgreSQL (Recommended)
Pros: ACID compliance, JSON support, mature ecosystem Cons: Vertical scaling limits Decision: Chosen for reliability and team expertise
Option B: MongoDB
Pros: Horizontal scaling, flexible schema Cons: Eventual consistency, less familiar to team Decision: Rejected due to consistency requirements
Option C: DynamoDB
Pros: Serverless, auto-scaling Cons: Vendor lock-in, complex query patterns Decision: Rejected due to query flexibility needs
Diagrams Required
System designs must include architecture diagrams. No text-only descriptions.
❌ FORBIDDEN: "The user sends a request to the API, which talks to the database and returns a response."
✅ REQUIRED: Include at least one of: - C4 Context/Container diagram - Sequence diagram for key flows - Data flow diagram
Example (Mermaid): ```mermaid sequenceDiagram Client->>API: POST /orders API->>Auth: Validate token Auth-->>API: User context API->>DB: Create order DB-->>API: Order ID API-->>Client: 201 Created
Success Metrics Defined
Every design must include measurable success criteria.
```markdown ❌ FORBIDDEN:
Goals
- Make the system faster
- Improve reliability
- Better user experience
✅ REQUIRED:
Success Metrics
| Metric | Current | Target | Measurement |
|---|---|---|---|
| API Latency (P95) | 500ms | <200ms | Prometheus histogram |
| Availability | 99.5% | 99.9% | Uptime monitoring |
| Error Rate | 2% | <0.1% | Error tracking |
| Throughput | 1K req/s | 10K req/s | Load testing |
Risks and Mitigations
All designs must identify risks and their mitigations.
❌ FORBIDDEN: (No risk section, assuming everything will work)
✅ REQUIRED:
Risks & Mitigations
| Risk | Severity | Likelihood | Mitigation |
|------|----------|------------|------------|
| Database migration fails | High | Medium | Backup + rollback plan, test in staging |
| Third-party API unavailable | Medium | Low | Circuit breaker, fallback cache |
| Team lacks expertise | Medium | Medium | Pair programming, external review |
| Scope creep | High | High | Fixed scope document, change control |
When to Use This Skill Scenario Document Type Complexity New feature design Technical Design Doc Medium-High System architecture C4 Model Diagrams Medium Major technical decision Architecture Decision Record (ADR) Low-Medium Cross-team proposal RFC (Request for Comments) Medium-High Technology evaluation Tech Selection Matrix Medium API contract OpenAPI/AsyncAPI Spec Low-Medium Document Types Overview Technical Design Document (TDD)
Purpose: Blueprint for implementing a feature or system Audience: Engineers, technical leads When: Before implementing significant features Sections: Problem, solution, alternatives, risks, timeline
RFC (Request for Comments)
Purpose: Proposal for discussion and feedback Audience: Cross-functional teams When: Need consensus on technical direction Sections: Problem statement, proposal, trade-offs, open questions
Architecture Decision Record (ADR)
Purpose: Document a single architectural decision Audience: Current and future engineers When: Any architecturally significant choice Sections: Context, decision, consequences, status
C4 Model Diagrams
Purpose: Visualize system architecture at multiple zoom levels Audience: Technical and non-technical stakeholders When: Communicating system structure Levels: Context, Container, Component, Code
Essential Document Sections 1. Front Matter
Title: User Authentication System
Author: Jane Doe Status: Proposed | In Review | Approved | Implemented Created: 2025-12-18 Last Updated: 2025-12-18 Reviewers: @tech-lead, @security-team
- Problem Statement (The "Why")
Problem
Current State: Users authenticate via legacy session cookies, no MFA support. Impact: 23% of security incidents related to compromised credentials. Constraint: Must support 10K concurrent users, <200ms login latency. Goal: Implement secure, scalable authentication with MFA and OAuth support.
- Proposed Solution (The "What")
Solution
Implement JWT-based authentication with: - Access tokens (15min TTL) + Refresh tokens (7 day TTL) - TOTP-based MFA (Google Authenticator compatible) - OAuth 2.0 providers (Google, GitHub) - Redis for token blacklist and session management
High-Level Design
[Include C4 Container diagram here]
Data Flow
- User submits credentials → Auth Service validates
- Auth Service generates JWT pair, stores refresh token in Redis
- Client includes access token in Authorization header
- API Gateway validates token, extracts user context
-
On expiry, client exchanges refresh token for new access token
-
Alternatives Considered
Alternatives
Option A: Session-based authentication
Pros: Simpler implementation, server-side revocation Cons: Doesn't scale horizontally, higher latency Decision: Rejected - doesn't meet scalability requirements
Option B: Auth0 (3rd party)
Pros: Battle-tested, feature-complete Cons: $500/month cost, vendor lock-in Decision: Deferred - revisit if team velocity insufficient
- Risk Assessment
Risks & Mitigations
| Risk | Severity | Likelihood | Mitigation |
|------|----------|------------|------------|
| JWT secret leak | Critical | Low | Rotate secrets quarterly, use HSM |
| Token theft (XSS) | High | Medium | HttpOnly cookies, CSP headers |
| Redis downtime | High | Low | Fallback to stateless validation |
| Clock skew issues | Medium | Medium | Use nbf claim, allow 5min tolerance |
- Implementation Plan
Work Breakdown
Phase 1: Core Authentication (Week 1-2)
- [ ] JWT generation/validation service
- [ ] Password hashing (bcrypt)
- [ ] User repository interface
- [ ] Unit tests + integration tests
Phase 2: MFA (Week 3)
- [ ] TOTP secret generation
- [ ] QR code generation
- [ ] Verification endpoint
- [ ] Backup codes
Phase 3: OAuth (Week 4)
- [ ] Google OAuth integration
- [ ] GitHub OAuth integration
- [ ] Account linking flow
Success Metrics
- 100% test coverage for auth logic
- <100ms token validation latency
-
Zero security vulnerabilities in audit
-
Open Questions
Open Questions
- Token storage: Should refresh tokens be in httpOnly cookie or localStorage?
-
Recommendation: Cookie (XSS protection), need CSRF mitigation
-
MFA enforcement: Opt-in or mandatory for all users?
-
Requires: Product team decision
-
Session limits: Should we limit concurrent sessions per user?
- Impact: Redis storage requirements, UX complexity
Best Practices Clarity & Language ✅ DO: - Use simple, direct language - Define acronyms on first use - Include diagrams for complex flows - Use tables for comparisons - Provide concrete examples
❌ DON'T: - Use jargon without explanation - Write walls of text - Assume prior knowledge - Skip the "why" behind decisions - Create docs that become stale
Diagrams
Mermaid (Simple flows)
sequenceDiagram Client->>API: POST /login API->>DB: Validate credentials DB-->>API: User data API->>Redis: Store session API-->>Client: JWT token
PlantUML with C4 (Architecture)
@startuml !include https://raw.githubusercontent.com/plantuml-stdlib/C4-PlantUML/master/C4_Container.puml
System_Boundary(c1, "Auth System") { Container(api, "API Gateway", "Node.js", "Routes requests") Container(auth, "Auth Service", "Go", "Handles authentication") ContainerDb(redis, "Redis", "Cache", "Sessions & tokens") }
Person(user, "User") user -> api : Login request api -> auth : Validate auth -> redis : Store token @enduml
Structure & Templates
Use consistent templates across your organization:
Technical Design Doc → templates/design-doc-template.md ADR → templates/adr-template.md Technology evaluation → reference/tech-selection.md Version Control
Store docs with code
docs/ ├── architecture/ │ ├── ADRs/ │ │ ├── 001-database-selection.md │ │ └── 002-api-authentication.md │ └── diagrams/ │ └── c4-system-context.puml ├── design/ │ └── auth-system-design.md └── rfcs/ └── 2025-01-user-authentication.md
Traceability & Maintenance Link Requirements to Decisions
Requirements Traceability
| Requirement | Design Element | Implementation | Tests |
|-------------|---------------|----------------|-------|
| REQ-001: MFA support | Auth Service TOTP module | auth/totp.go | auth/totp_test.go |
| REQ-002: OAuth login | OAuth provider adapter | auth/oauth.go | auth/oauth_test.go |
| REQ-003: <100ms latency | Redis token cache | middleware/jwt.go | benchmark/auth_bench.go |
Document Lifecycle
Document Status
- Proposed: Initial draft, seeking feedback
- In Review: Under review by stakeholders
- Approved: Accepted, ready for implementation
- Implemented: Fully implemented
- Deprecated: No longer valid, superseded by ADR-XXX
Review Process
Before implementation:
Author writes design doc Share with team for async review (2-3 days) Schedule 30-45min readout meeting Address feedback, update doc Get sign-off from tech lead + security (if needed)
After implementation:
Review doc 1 month post-launch Update with actual learnings Document what changed and why Anti-Patterns to Avoid ❌ Design as justification - Don't write docs after implementation to justify decisions - Write BEFORE to think through design
❌ Too much detail - Don't document every function and variable - Focus on system-level design, not line-by-line code
❌ Spec-first waterfall - Don't spend months on perfect design - Write enough to start, iterate as you learn
❌ Stale documentation - Don't let docs drift from reality - Update or delete outdated docs
❌ No alternatives analysis - Don't present only one solution - Show you considered trade-offs
❌ Missing success criteria - Don't forget to define "done" - Include measurable success metrics
Checklist Before Writing Understood the problem and constraints Identified stakeholders and reviewers Selected appropriate document type Gathered context (existing systems, data, metrics) During Writing Clear problem statement with impact Proposed solution with diagrams Alternatives considered with trade-offs Risk assessment with mitigations Success criteria defined Work breakdown with timeline Open questions documented Before Publishing Spell check and grammar review All diagrams render correctly Links are valid Acronyms defined Code examples are tested Requested reviewers identified After Implementation Document updated with learnings Status changed to "Implemented" Related ADRs created for key decisions Runbook/operational docs created if needed Quick Reference Card ┌─────────────────────────────────────────────────────────────┐ │ TECHNICAL DOCUMENT QUICK GUIDE │ ├─────────────────────────────────────────────────────────────┤ │ Document Type Selection │ │ ├── New feature → Technical Design Doc (TDD) │ │ ├── Architecture → C4 Diagrams + System Design Doc │ │ ├── Single decision → Architecture Decision Record (ADR) │ │ ├── Cross-team proposal → Request for Comments (RFC) │ │ └── Technology choice → Tech Evaluation Matrix │ ├─────────────────────────────────────────────────────────────┤ │ Essential Sections (TDD) │ │ ├── 1. Problem Statement (Why?) │ │ ├── 2. Proposed Solution (What?) │ │ ├── 3. Alternatives Considered (Why not X?) │ │ ├── 4. Risk Assessment (What could go wrong?) │ │ ├── 5. Implementation Plan (How & When?) │ │ ├── 6. Success Metrics (How to measure?) │ │ └── 7. Open Questions (What's unclear?) │ ├─────────────────────────────────────────────────────────────┤ │ Best Practices │ │ ├── Write BEFORE implementation │ │ ├── Use diagrams for complex flows │ │ ├── Keep language simple and direct │ │ ├── Show trade-offs, not just solutions │ │ ├── Define success criteria │ │ └── Update docs as system evolves │ └─────────────────────────────────────────────────────────────┘
See Also reference/design-doc.md — Technical design document guide reference/adr.md — Architecture Decision Records reference/c4-model.md — C4 architecture diagrams reference/tech-selection.md — Technology evaluation matrix templates/design-doc-template.md — TDD template templates/adr-template.md — ADR template Sources
Research based on 2025 best practices from:
Technical Design Document Examples 2025 Stack Overflow: Practical Guide to Technical Specs Microsoft Learn: Functional & Technical Design Atlassian: Software Design Document Best Practices