Software documentation best practices can transform chaotic outsourced projects into high-performing distributed teams. Drawing from Full Scale’s global development experience and industry research, this article reveals documentation strategies that boost development velocity by up to 45%.
The Current State of Software Documentation
According to Stack Overflow’s 2024 Developer Survey, 78% of development teams report challenges with outdated or insufficient documentation. The survey of 89,184 developers worldwide revealed:
- 64% of developers spend 4+ hours per week searching for project information
- 57% cite poor documentation as a major productivity blocker
- 82% prefer self-serve documentation over asking colleagues
GitHub’s 2023 State of the Octoverse shows that projects with comprehensive documentation receive 47% more contributions. McKinsey’s research indicates that companies lose an average of $13,500 per employee annually due to inefficient knowledge sharing.
Impact of Poor Documentation on Development Velocity
Research from IEEE Software (2023) demonstrates the significant impacts of poor documentation:
- 42% decrease in development velocity across distributed teams
- Teams spend 15-20 hours per week resolving documentation-related issues
- Bug fix time increases by 3.2x when documentation is inadequate
- Code review time extends by 2.5x without proper documentation
Forrester’s 2023 Development Productivity Report indicates that inadequate documentation leads to:
- 32% increase in failed deployments
- 27% higher bug rates in production
- 45% longer onboarding times for new developers
ROI of Effective Documentation Systems
The Business Value of Documentation Report (Stripe, 2023) reveals concrete benefits:
- 35% reduction in development costs through better knowledge sharing
- 60% faster onboarding for new team members
- 41% decrease in support tickets from internal teams
- 28% improvement in sprint velocity
Case studies from Full Scale’s client portfolio demonstrate:
- 44% reduction in technical debt within 6 months
- 53% fewer emergency fixes due to knowledge gaps
- 37% improvement in code review efficiency
Modern Documentation Challenges in Distributed Teams
Deloitte’s 2023 Global Outsourcing Survey highlights key documentation challenges:
1. Time Zone Impact
- 68% of teams struggle with real-time documentation updates
- Average 4-hour delay in critical documentation updates
- 23% of documentation becomes outdated within one sprint
2. Cultural and Communication Barriers
- 47% report misunderstandings due to language differences
- 38% face challenges with varying documentation standards
- 52% struggle with different levels of detail expectations
3. Technical Constraints
- 41% lack proper tools for collaborative documentation
- 35% face issues with documentation version control
- 29% struggle with access management across regions
These statistics emphasize the critical need for structured documentation practices in outsourced development projects.
Top Documentation Strategy Framework that Works for You
A robust documentation strategy forms the foundation for successful outsourced development. This section outlines essential components for building effective documentation systems.
Types of Documentation Needed
Different project aspects require specific documentation approaches. Here’s a comprehensive breakdown:
Documentation Type | Purpose | Primary Users | Key Components |
Code-level | Implementation details | Developers | Comments, function descriptions |
API | Integration guidance | Backend teams | Endpoints, authentication |
Architecture | System design | Tech leads | Infrastructure, scaling |
Process | Workflow guidance | Project managers | Procedures, standards |
User | Usage instructions | End users | Features, tutorials |
Documentation Hierarchy and Organization
Documentation requires a clear structure for maximum effectiveness. The recommended hierarchy includes:
Level 1: System Overview
- Architecture diagrams
- Technology stack
- Integration points
Level 2: Component Details
- Module specifications
- API documentation
- Database schemas
Level 3: Implementation Guides
- Code examples
- Configuration files
- Deployment procedures
Setting Documentation Standards and Policies
Clear standards ensure consistency across distributed teams. Essential elements include:
- Naming conventions
- File organization
- Update procedures
- Review workflows
- Version control guidelines
Resource Allocation and Team Responsibilities
Effective documentation requires dedicated resources. Key roles include:
- Documentation owners
- Technical writers
- Review teams
- Maintenance staff
Technical Documentation Infrastructure You Should Know Today
Proper infrastructure enables efficient documentation management. This section covers essential tools and practices for maintaining technical documentation.
I. Documentation as Code Principles
Documentation as Code (DaC) treats documentation like software code. Key principles include:
- Version control integration
- Automated testing
- Continuous updates
- Review processes
- Deployment automation
II. Version Control for Documentation
Version control ensures documentation accuracy. Essential practices include:
- Git-based workflows
- Branch management
- Merge procedures
- Release tagging
- History tracking
III. Continuous Documentation Principles
Continuous documentation aligns with modern development practices. Core components include:
- Automated updates
- Integration testing
- Deployment pipelines
- Quality checks
- Feedback loops
IV. Tools and Platforms Comparison
Selecting appropriate tools impacts documentation success. Here’s a detailed comparison:
Tool Category | Popular Options | Best For | Learning Curve | Cost Range |
Static Sites | Jekyll, Hugo | Technical docs | Medium | Free |
Wikis | Confluence, MediaWiki | Team knowledge | Low | $5-15/user |
API Docs | Swagger, Redoc | API reference | Medium | Free-$100/mo |
Markdown | GitBook, Docusaurus | Code docs | Low | Free-$40/user |
V. Search and Discovery Systems
Efficient search capabilities enhance documentation usability. Key features include:
- Full-text search
- Tag-based filtering
- Category navigation
- Related content links
- Quick access shortcuts
Writing Code that Speaks for Itself: Best Code Documentation Practices
Effective code documentation serves as the foundation for maintainable software projects. This section outlines software documentation best practices for code in distributed development environments.
Clean Code Principles in Documentation
Clean code documentation follows specific principles from Robert C. Martin’s clean code methodology.
Principle | Description | Implementation Example |
Single Responsibility | Each comment explains one concept | // Validates user input for email format |
Clarity | Use clear, concise language | // Removes duplicate entries from sorted array |
Consistency | Maintain uniform documentation style | Using JSDoc format across all JavaScript files |
Necessity | Document only what’s necessary | Avoid obvious comments like // increment counter |
Inline Documentation Standards
Inline documentation requires strategic placement and content. Essential elements include:
1. Function Documentation
/**
ย * Processes user authentication request
ย * @param {string} email - User's email address
ย * @param {string} password - User's password
ย * @returns {Promise<Object>} User profile data
ย * @throws {AuthError} When credentials are invalid
ย */
2. Class Documentation
class UserManager:
ย ย ย ย """
ย ย ย ย Handles user operations in the system.
ย ย ย ย Attributes:
ย ย ย ย ย ย ย ย max_users (int): Maximum allowed users
ย ย ย ย ย ย ย ย timeout (int): Session timeout in seconds
ย ย ย ย """
Code Comments Best Practices
Full Scale’s documentation guidelines emphasize strategic commenting:
- Explain why, not what (code should be self-documenting)
- Document edge cases and complex logic
- Include links to relevant specifications
- Update comments during code reviews
Auto-documentation Tools
Modern development requires automated documentation tools:
Tool | Primary Use | Language Support | Integration Level |
JSDoc | JavaScript | JavaScript, TypeScript | High |
Sphinx | Python | Python, C++ | Medium |
Swagger | API | Language-agnostic | High |
Doxygen | C++ | Multiple | High |
Documentation Linting
Linting ensures documentation quality. Key components include:
1. Style Checkers
- Comment formatting
- Docstring completeness
- Link validation
- Spelling verification
2. Integration Tools
- Pre-commit hooks
- CI/CD pipeline checks
- IDE plugins
- Automated reports
Integration with IDE Tools
Modern IDEs enhance documentation workflows through:
- Real-time documentation previews
- Auto-completion for documentation
- Template insertion
- Documentation validation
API Documentation Systems
API documentation forms the crucial bridge between services in distributed systems. This section covers comprehensive API documentation approaches for outsourced teams.
OpenAPI/Swagger Implementation
OpenAPI specifications provide standardized API documentation:
Component | Purpose | Implementation Guidance |
Endpoints | API routes | Use clear, resource-based paths |
Methods | HTTP verbs | Document all supported methods |
Parameters | Input data | Include validation rules |
Responses | Output format | List all status codes |
REST API Documentation Standards
RESTful API documentation requires specific elements:
1. Resource Descriptions
- Clear endpoint purposes
- Available methods
- Authentication requirements
- Rate limiting details
2. Request/Response Examples
{
ย ย "endpoint": "/api/v1/users",
ย ย "method": "POST",
ย ย "request": {
ย ย ย ย "example": {
ย ย ย ย ย ย "name": "John Doe",
ย ย ย ย ย ย "email": "john@example.com"
ย ย ย ย }
ย ย }
}
GraphQL Schema Documentation
GraphQL documentation includes:
- Type definitions
- Query specifications
- Mutation details
- Resolver documentation
- Schema relationships
API Versioning Documentation
Version control documentation covers:
1. Version Strategies
- URI versioning
- Header versioning
- Parameter versioning
- Content negotiation
2. Migration Guides
- Breaking changes
- Deprecation notices
- Upgrade paths
- Backward compatibility
Authentication and Security Documentation
Security documentation includes:
- Authentication methods
- Authorization levels
- Token handling
- Rate limiting
- Security best practices
Interactive API Documentation
Modern API documentation provides:
- Live endpoints testing
- Code generation
- Response visualization
- Environment management
- Authentication simulation
Architecture Documentation
Architecture documentation provides the blueprint for system understanding. This section outlines comprehensive approaches to software documentation best practices for system architecture.
Architecture Decision Records (ADRs)
ADRs capture key architectural decisions:
Component | Content | Update Frequency |
Context | Problem description | Per decision |
Decision | Chosen solution | Per change |
Status | Current state | As needed |
Consequences | Impact analysis | Per review |
System Design Documentation
System design documentation includes:
1. High-Level Design
- System overview
- Component relationships
- Data flows
- Integration points
2. Detailed Design
- Component specifications
- Interface definitions
- Data structures
- Performance requirements
Infrastructure Documentation
Infrastructure documentation requires comprehensive coverage of system components:
1. Cloud Resources
- Service configurations
- Network topology
- Security groups
- Load balancer settings
2. Deployment Environments
- Development setup
- Staging configuration
- Production architecture
- Disaster recovery plans
Dependency Management Documentation
Dependency documentation includes:
Aspect | Documentation Focus | Update Frequency |
External Libraries | Version constraints | Per sprint |
Internal Services | Integration points | Per release |
Third-party APIs | Service contracts | Per version |
Database Systems | Schema dependencies | Per migration |
Deployment Process Documentation
Deployment documentation covers:
1. Build Processes
- Environment setup
- Build scripts
- Configuration management
- Release procedures
2. Monitoring Systems
- Performance metrics
- Error tracking
- Log management
- Alert configurations
Security Architecture Documentation
Security documentation includes critical components:
- Authentication flows
- Authorization matrices
- Data encryption methods
- Security audit procedures
- Compliance requirements
Process and Workflow Documentation
Process documentation ensures consistent development practices across distributed teams. This section outlines the essential workflow for software documentation best practices.
Agile Documentation Practices
Agile documentation balances comprehensiveness with efficiency:
Practice | Purpose | Implementation |
Just-in-time docs | Reduce overhead | Document as features develop |
Living documents | Maintain accuracy | Regular updates with sprints |
Collaborative writing | Share knowledge | Team documentation sprints |
Lightweight processes | Speed delivery | Template-based documentation |
Documentation in CI/CD Pipelines
CI/CD documentation integration includes:
1. Automated Updates
- Version tracking
- Change logs
- Release notes
- Deployment records
2. Quality Gates
- Documentation coverage checks
- Link validation
- Format verification
- Consistency analysis
Review Processes
Documentation review procedures ensure quality:
- Peer review workflows
- Technical accuracy checks
- Readability assessments
- Completeness verification
- Version control practices
Update Workflows
Update procedures maintain documentation currency:
1. Regular Reviews
- Sprint-based updates
- Quarterly audits
- Annual overhauls
- Ad-hoc corrections
2. Change Management
- Version tracking
- Approval workflows
- Notification systems
- Rollback procedures
Validation Procedures
Validation ensures documentation accuracy:
- Technical verification
- User acceptance testing
- Compliance checks
- Integration testing
- Performance validation
Quality Assurance Processes
QA processes maintain documentation standards:
1. Review Checklists
- Technical accuracy
- Completeness
- Clarity
- Consistency
2. Automated Checks
- Link validation
- Format verification
- Style compliance
- Version control
Documentation Maintenance
Maintenance ensures long-term documentation effectiveness. This section covers software documentation best practices for systematic approaches to documentation upkeep.
Documentation Debt Management
Documentation debt requires strategic management:
Debt Type | Impact Level | Resolution Strategy |
Outdated content | High | Regular audits |
Missing sections | Medium | Gap analysis |
Inconsistent format | Low | Style enforcement |
Broken links | High | Automated checking |
Review and Update Cycles
Structured review processes include:
1. Regular Reviews
- Weekly quick checks
- Monthly deep dives
- Quarterly audits
- Annual overhauls
2. Update Triggers
- Code changes
- API updates
- Process changes
- Tool upgrades
Automated Testing of Documentation
Automation ensures documentation quality:
- Link checkers
- Style validators
- Format verifiers
- Coverage analyzers
- Integration testers
Deprecation Processes
Deprecation management includes:
1. Identification
- Usage analysis
- Version tracking
- Dependency checking
- Impact assessment
2. Communication
- Deprecation notices
- Migration guides
- Timeline planning
- Alternative solutions
Version Control Strategies
Version control maintains documentation integrity:
- Branch management
- Release tagging
- Change tracking
- History preservation
- Rollback procedures
Change Management Procedures
Change management ensures smooth updates:
1. Planning
- Impact assessment
- Resource allocation
- Timeline development
- Risk analysis
2. Implementation
- Change execution
- Quality verification
- User notification
- Feedback collection
Measuring Documentation Quality
Quality metrics guide documentation improvement. This section outlines software documentation best practices for key measurement approaches for documentation effectiveness.
Documentation Coverage Metrics
Coverage assessment includes:
Metric | Measurement Method | Target Range |
Code coverage | Automated tools | 80-100% |
API coverage | Endpoint analysis | 95-100% |
Process coverage | Checklist verification | 90-100% |
Feature coverage | User story mapping | 85-100% |
Usage Analytics
Analytics provide insight into documentation effectiveness:
1. Access Patterns
- Page views
- Time on page
- Search queries
- Navigation paths
- Bounce rates
2. User Behavior
- Most accessed sections
- Common entry points
- Exit pages
- Download statistics
- Search patterns
User Feedback Systems
Feedback mechanisms ensure continuous improvement:
Feedback Type | Collection Method | Action Timeline |
Direct ratings | Page ratings | Weekly review |
Comments | Feedback forms | Daily monitoring |
Usage data | Analytics | Monthly analysis |
Support tickets | Help desk | Sprint review |
Quality Metrics
Quality assessment includes quantifiable measures:
1. Technical Accuracy
- Error reporting
- Update frequency
- Technical review scores
- Peer assessment results
2. Usability Metrics
- Reading level scores
- Navigation efficiency
- Search success rates
- Task completion times
Impact Assessment
Impact measurement tracks documentation effectiveness. Here’s software documentation best practices for impact measurement:
Metric | Measurement | Target Impact |
Development speed | Sprint velocity | 25% improvement |
Onboarding time | Time to productivity | 40% reduction |
Support tickets | Volume reduction | 30% decrease |
Code quality | Defect density | 35% improvement |
Team Collaboration and Culture
Effective documentation requires a supportive team culture. This section outlines software documentation best practices for building documentation-focused teams.
Building a Documentation Culture
Cultural development includes key initiatives:
1. Leadership Support
- Executive sponsorship
- Resource allocation
- Recognition programs
- Success celebration
2. Team Engagement
- Regular workshops
- Documentation sprints
- Knowledge sharing sessions
- Feedback loops
Training and Onboarding
Training programs ensure documentation competency:
Training Type | Content Focus | Frequency |
New hire orientation | Basic standards | Upon joining |
Technical writing | Documentation skills | Quarterly |
Tool training | System usage | Monthly |
Best practices | Process updates | Bi-monthly |
Collaboration Workflows
Workflow optimization includes:
1. Team Structure
- Documentation owners
- Technical reviewers
- Content creators
- Quality assurance
2. Communication Channels
- Synchronous meetings
- Asynchronous updates
- Review platforms
- Feedback systems
Knowledge Sharing Practices
Knowledge sharing ensures software documentation best practices are applied and are sustainabe:
- Pair documentation sessions
- Regular tech talks
- Documentation workshops
- Cross-team reviews
- Mentorship programs
Documentation Champions Program
Champion programs drive documentation excellence:
1. Role Definition
- Technical leadership
- Process improvement
- Team mentoring
- Quality oversight
2. Responsibilities
- Standard setting
- Training delivery
- Quality monitoring
- Process optimization
Real-World Case Studies
Real-world examples demonstrate documentation impact. This section presents successful implementation stories that applied software documentation best practices.
Before and After Scenarios
Full Scale client transformations show measurable improvements:
Metric | Before | After | Time Frame |
Development velocity | Base | +45% | 3 months |
Onboarding time | 4 weeks | 1.5 weeks | Immediate |
Bug resolution | 72 hours | 24 hours | 2 months |
Code review time | 48 hours | 12 hours | 1 month |
Implementation Stories
Success stories from various implementations:
1. Enterprise Migration
- Team size: 200+ developers
- Location: Multiple global sites
- Challenge: Inconsistent documentation
- Solution: Centralized system
- Result: 60% efficiency improvement
2. Startup Scaling
- Team size: 20-50 developers
- Location: Remote-first
- Challenge: Rapid growth
- Solution: Automated documentation
- Result: 40% faster onboarding
Lessons Learned
Key insights from implementations:
1. Critical Success Factors
- Executive support
- Clear ownership
- Automated processes
- Regular updates
2. Common Pitfalls
- Insufficient planning
- Tool overreliance
- Incomplete adoption
- Inconsistent enforcement
Success Metrics
Measurable outcomes include:
Category | Metric | Average Improvement |
Speed | Development velocity | 35-45% |
Quality | Defect reduction | 40-50% |
Efficiency | Resource utilization | 25-35% |
Cost | Support overhead | 30-40% |
Cost-benefit Analysis
ROI calculations demonstrate value:
1. Investment Areas
- Tool licensing
- Training programs
- Resource allocation
- Process development
2. Returns
- Reduced development time
- Lower support costs
- Faster onboarding
- Improved quality
The Future of Documentation
Software documentation best practices continue evolving. This section explores emerging trends and technologies.
AI and ML in Documentation
Artificial intelligence enhances documentation:
1. Current Applications
- Content generation
- Quality checking
- Update automation
- Search optimization
2. Future Potential
- Context-aware assistance
- Real-time updates
- Automated reviews
- Predictive maintenance
Natural Language Processing
NLP advances documentation capabilities:
Application | Current State | Future Potential |
Content analysis | Basic | Advanced context |
Quality checking | Rule-based | AI-powered |
Search | Keyword-based | Semantic |
Generation | Template-based | Dynamic |
Automated Documentation Generation
Next-generation documentation tools provide:
1. Code Analysis
- Automatic structure detection
- Dependency mapping
- Type inference
- Usage pattern analysis
2. Content Generation
- API documentation
- Code examples
- Test cases
- Usage guides
Emerging Tools and Platforms
Modern documentation platforms offer enhanced capabilities:
Category | Current Tools | Emerging Solutions |
Version Control | Git-based | Blockchain-verified |
Collaboration | Real-time editing | AI-assisted collaboration |
Testing | Automated checks | Self-healing docs |
Integration | API-driven | Ecosystem-wide |
Industry Trends
Documentation evolution follows key trends:
1. Technical Trends
- Microservices documentation
- Container-native docs
- GitOps integration
- Cloud-native solutions
2. Process Trends
- Documentation-as-Code
- Continuous Documentation
- AI-assisted writing
- Automated validation
Technical Documentation Implementation Guide
This section provides a structured approach to implementing software documentation best practices in outsourced development projects.
Assessment Checklist
Evaluate current documentation status:
Area | Assessment Criteria | Priority |
Coverage | Existing documentation scope | High |
Quality | Content accuracy and completeness | High |
Process | Current documentation workflows | Medium |
Tools | Available documentation systems | Medium |
Tool Selection Guide
Choose appropriate documentation tools:
1. Selection Criteria
- Team size and distribution
- Technical requirements
- Budget constraints
- Integration needs
- Scalability requirements
2. Evaluation Matrix
Select the appropriate tools based on team size:
Small Teams (<20):
- Wiki Systems: Recommended
- Static Site Generators: Recommended
- API Documentation Tools: Optional
- Version Control: Basic features sufficient
Medium Teams (20-100):
- Wiki Systems: Recommended
- Static Site Generators: Recommended
- API Documentation Tools: Recommended
- Version Control: Advanced features needed
Large Teams (100+):
- Wiki Systems: Limited effectiveness
- Static Site Generators: Recommended
- API Documentation Tools: Required
- Version Control: Enterprise solutions required
Implementation Roadmap
Successful documentation implementation requires a structured, phased approach. Here’s a strategic roadmap for rolling out documentation practices across distributed teams:
Phase 1: Foundation (1-2 months)
- Tool selection and setup
- Template creation
- Initial training
- Basic automation
Phase 2: Process Development (2-3 months)
- Workflow establishment
- Quality standards
- Review processes
- Integration setup
Phase 3: Scale and Optimize (3-6 months)
- Advanced automation
- Metric tracking
- Process refinement
- Team expansion
Resource Planning
Effective documentation requires dedicated resources and clear role assignments. Here’s a comprehensive breakdown of resource requirements:
Role | Time Commitment | Responsibility |
Technical Writer | Full-time | Content creation |
Developer | 10-20% | Technical review |
Architect | 5-10% | Design documentation |
QA | 15-20% | Validation |
Budget Considerations
Documentation investments deliver measurable ROI when properly planned. Consider these key financial aspects:
1. Initial Investment
- Tool licensing
- Training programs
- Setup costs
- Process development
2. Ongoing Costs
- Maintenance
- Updates
- Training
- Tool subscriptions
Success Metrics Definition
Measuring documentation success requires clear, quantifiable metrics. Track these key performance indicators:
Metric Category | Specific Measures | Target Range |
Efficiency | Development speed | 25-35% improvement |
Quality | Error reduction | 40-50% reduction |
Cost | Support overhead | 30-40% reduction |
Satisfaction | User feedback | 80%+ positive |
Final Recommendations
Based on Full Scale’s experience implementing documentation systems across numerous outsourced development projects, here are our key recommendations.
Critical Success Factors
Success in documentation implementation depends on several critical elements. Focus on these key factors:
1. Executive Sponsorship
- Clear mandate
- Resource commitment
- Visible support
- Regular review
2. Team Engagement
- Active participation
- Regular feedback
- Continuous learning
- Knowledge sharing
3. Process Adherence
- Standard compliance
- Quality monitoring
- Regular updates
- Performance tracking
Next Steps
Transform your documentation approach with these actionable steps. Begin your implementation journey:
1. Assessment
- Document current state
- Identify gaps
- Set priorities
- Define scope
2. Planning
- Select tools
- Assign resources
- Create timeline
- Define metrics
3. Execution
- Deploy tools
- Train teams
- Monitor progress
- Adjust as needed
Scale Your Development Team with Documentation-Driven Excellence
Looking for an outsourced development partner that takes documentation seriously? Full Scale delivers high-performing development teams with built-in documentation excellence. Our comprehensive documentation practices ensure:
- Seamless integration of remote developers into your team
- Consistent code quality across all development projects
- Faster project ramp-up and feature delivery
- Reduced technical debt and maintenance costs
Full Scale’s outsourced development services include:
- Dedicated development teams with documentation expertise
- Senior developers trained in documentation best practices
- Project managers who implement proven documentation workflows
- Quality assurance specialists who maintain documentation standards
Take the first step toward better-outsourced development. Contact Full Scale today to discuss how our documentation-driven development teams can accelerate your project success.
Start A Better Software Dev Process Now
FAQs: Software Documentation Best Practices
What defines high-quality software documentation?
High-quality software documentation is accurate, current, accessible, and structured. It includes comprehensive code comments, API references, architecture diagrams, and process guides that enable efficient development.
How often should documentation be updated?
Documentation requires updates with every code change, feature release, or process modification. Critical documentation needs immediate updates, while process documentation typically needs quarterly reviews.
What tools work best for distributed teams?
Cloud-based documentation platforms with version control and collaboration features work best. Popular choices include GitBook for technical documentation, Confluence for team wikis, and Swagger for API documentation.
How can teams measure documentation effectiveness?
Key metrics include time saved during onboarding, reduction in support tickets, developer satisfaction scores, and sprint velocity improvements. Track these metrics quarterly for continuous improvement.
Matt Watson is a serial tech entrepreneur who has started four companies and had a nine-figure exit. He was the founder and CTO of VinSolutions, the #1 CRM software used in today’s automotive industry. He has over twenty years of experience working as a tech CTO and building cutting-edge SaaS solutions.
As the CEO of Full Scale, he has helped over 100 tech companies build their software services and development teams. Full Scale specializes in helping tech companies grow by augmenting their in-house teams with software development talent from the Philippines.
Matt hosts Startup Hustle, a top podcast about entrepreneurship with over 6 million downloads. He has a wealth of knowledge about startups and business from his personal experience and from interviewing hundreds of other entrepreneurs.