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Documentation Testing & Quality Assurance Checklist

Last Updated: October 17, 2025 Purpose: Comprehensive verification that all documentation is accurate, complete, and user-friendly.


๐Ÿ“‹ Testing Overview

This checklist ensures FraiseQL documentation meets production quality standards. Run these checks before releases and after major documentation changes.

Automated Checks (Run via CI)

  • โœ… Link validation (internal/external)
  • โœ… Code syntax validation
  • โœ… File existence verification
  • โœ… Terminology consistency

Manual Checks (Human verification required)

  • โœ… Code example execution
  • โœ… Installation path testing
  • โœ… New user onboarding flow
  • โœ… Content accuracy review

  • All ../ and ./ links resolve to existing files
  • Section anchors (#section-name) exist in target files
  • Navigation breadcrumbs work correctly
  • Cross-references between docs are accurate
  • GitHub repository links are valid
  • Documentation site links work
  • Package registry links (PyPI) are current
  • External tool documentation links are accessible

File References

  • All referenced files exist (README.md, pyproject.toml, etc.)
  • Code imports resolve correctly
  • Example file paths are accurate
  • Image/diagram references exist

๐Ÿ“ Content Accuracy

Version Information

  • Current version numbers are correct (pyproject.toml matches README)
  • Version status descriptions are accurate
  • Compatibility requirements are up-to-date
  • Deprecation notices are current

Code Examples

  • All code blocks have correct syntax highlighting
  • Import statements are valid
  • Function calls match current API
  • Variable names are consistent
  • Error handling examples are realistic

Installation Instructions

  • Package names are correct
  • Version constraints are appropriate
  • System requirements are accurate
  • Platform-specific instructions work

Configuration Examples

  • All config options exist in code
  • Default values are correct
  • Environment variable names match
  • JSON/YAML syntax is valid

๐Ÿš€ Code Example Testing

Quickstart Examples

  • fraiseql init creates working project
  • Generated code runs without errors
  • Database setup works as documented
  • GraphQL queries execute successfully

Tutorial Examples

  • All tutorial steps produce expected results
  • Intermediate files are correct
  • Error recovery instructions work
  • Final applications are functional

Production Examples

  • Enterprise examples deploy successfully
  • Performance benchmarks are reproducible
  • Security configurations work
  • Monitoring integrations function

API Examples

  • All documented methods exist
  • Parameter types are correct
  • Return values match documentation
  • Error conditions are handled

๐Ÿ—๏ธ Installation Path Testing

Basic Installation

  • pip install "fraiseql<2" works
  • All dependencies install correctly
  • Import statements work
  • Basic functionality available

Enterprise Installation

  • pip install "fraiseql[enterprise]<2" succeeds
  • Optional dependencies install
  • Enterprise features are available
  • Performance optimizations active

Development Installation

  • pip install -e .[dev] works
  • Development tools available
  • Testing framework configured
  • Code quality tools functional

Platform Testing

  • Linux installation works
  • macOS installation works
  • Windows installation works (if supported)
  • Docker container builds successfully

๐Ÿ‘ค New User Onboarding Test

Beginner Path (< 30 minutes)

  1. Start from main README.md
  2. Follow "Is this for me?" guidance
  3. Complete quickstart successfully
  4. Execute first GraphQL query
  5. Verify working API

Time Target: < 30 minutes from start to working API

Production Path (< 60 minutes)

  1. Start from main README.md
  2. Choose production path
  3. Install enterprise version
  4. Deploy example application
  5. Verify performance metrics

Time Target: < 60 minutes to production deployment

Contributor Path (< 45 minutes)

  1. Start from main README.md
  2. Follow contributor guidance
  3. Set up development environment
  4. Run test suite successfully
  5. Make first code change

Time Target: < 45 minutes to contributing


๐Ÿ” Content Quality Checks

Consistency

  • Terminology is standardized (e.g., "FraiseQL" vs "fraiseql")
  • Code style is consistent across examples
  • Naming conventions are followed
  • Voice/tone is appropriate for audience

Completeness

  • All features are documented
  • Prerequisites are clearly stated
  • Troubleshooting sections exist
  • Related topics are cross-referenced

Clarity

  • Instructions are step-by-step
  • Concepts are explained before use
  • Error messages are anticipated
  • Examples include expected output

Currency

  • All version numbers are current
  • API changes are reflected
  • Best practices are up-to-date
  • Security recommendations current

๐Ÿงช Automated Validation Scripts

# Run link validation
./scripts/validate-docs.sh --links

# Check specific file
./scripts/validate-docs.sh --file docs/quickstart.md

Code Example Tester

# Test all examples
./scripts/validate-docs.sh --examples

# Test specific example
./scripts/validate-docs.sh --example quickstart

Installation Verifier

# Test all install paths
./scripts/validate-docs.sh --install

# Test specific platform
./scripts/validate-docs.sh --install --platform linux

๐Ÿ“Š Quality Metrics

Quantitative Metrics

  • Link Health: 100% of internal links working
  • Code Coverage: 100% of examples tested
  • Installation Success: 100% of documented paths working
  • User Success Rate: > 95% complete onboarding successfully

Qualitative Metrics

  • Readability: Content understandable by target audience
  • Accuracy: No factual errors or contradictions
  • Completeness: All necessary information provided
  • Usability: Users can achieve goals efficiently

๐Ÿšจ Common Issues & Fixes

  • Symptom: 404 errors or broken navigation
  • Fix: Update file paths, check file existence
  • Prevention: Run link checker before commits

Outdated Examples

  • Symptom: Code fails to execute
  • Fix: Update to current API, test execution
  • Prevention: Test examples after API changes

Missing Prerequisites

  • Symptom: Users can't follow instructions
  • Fix: Add clear prerequisites section
  • Prevention: Include prerequisites in all guides

Version Inconsistencies

  • Symptom: Conflicting version information
  • Fix: Centralize version data, update all references
  • Prevention: Single source of truth for versions

๐Ÿ“ˆ Continuous Quality

Pre-Commit Checks

  • Run link validation on changed files
  • Syntax check code examples
  • Verify file references exist

CI/CD Integration

  • Automated testing on pull requests
  • Documentation validation in releases
  • Performance regression detection

Regular Audits

  • Monthly documentation review
  • User feedback integration
  • Competitive analysis updates

โœ… Final Verification Checklist

  • All automated checks pass
  • Manual testing completed
  • New user onboarding successful
  • Cross-team review completed
  • Performance benchmarks current
  • Security review passed
  • Accessibility standards met

This checklist ensures FraiseQL documentation maintains production quality and provides excellent user experience.