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Also known as: Technical Documentation
Written, structured information that explains systems, APIs, datasets, and processes to enable understanding, use, and maintenance.
DESCRIPTION
Documentation communicates how things work and how to use them, covering user guides, reference docs, runbooks, and architecture notes. High-quality docs improve onboarding, reduce errors, and support compliance. Modern teams treat docs as code: versioned, reviewed, and tested. Style guides, templates, and automated validation keep docs consistent and discoverable.
ALTERNATIVE DEFINITIONS
Atlassian
Technical documentation is any written text or illustration that explains how a product operates or how to use it.
Defines documentation in the context of product operation and usage.
Microsoft Learn
Technical documentation describes how to use and build with products and services, and contributes to a reliable learning experience for customers and developers.
Emphasizes learning experience and developer audience.
Read the Docs
Documentation is written information that describes a project, including how to install, configure, use, and contribute to it.
Highlights docs-as-code and contributor orientation.
RELATED TERMS
Knowledge Base API Documentation README Architecture Decision Record Runbook User Guide Reference Manual Docs-as-code Version Control Style Guide
COMPETING TERMS
Tribal Knowledge
RELATIONS
- Narrower: Data Documentation
KNOWLEDGE AREAS
Software Engineering Collaboration Platform & Tooling Data Management MLOps
TARGET AUDIENCE
Software Developer Data Engineer DevOps Engineer Data Scientist BI Specialist Data Steward IT Project Manager Scrum Master Product Owner Software Architect
EXTERNAL SOURCES
- Wikipedia - Documentation
- GNU - Standards for documentation
- Diátaxis Framework - Documentation structure framework
- Microsoft - Style guide for technical writing
TOP QUESTIONS
Why is Documentation essential for data and AI projects?
It captures context, decisions, schemas, and interfaces, enabling reproducibility, compliance, and collaboration across teams, reducing onboarding time and errors.
Category: Relevancy
What belongs in data pipeline Documentation?
Data contracts, schemas, lineage, SLAs, error handling, dependencies, deployment steps, runbooks, and quality checks.
Category: Requirements
What is docs-as-code in Documentation?
Treat documentation like code—version control, reviews, CI checks, and automated publishing—to keep content reliable and current.
Category: Example
How do Architecture Decision Records help Documentation?
ADRs record choices, context, and consequences, preserving rationale and aiding future maintenance and audits.
Category: Management
What are common mistakes in Documentation?
Outdated content, missing prerequisites, poor structure, unclear audience targeting, and lack of examples or diagnostics.
Category: Mistakes
How to measure Documentation quality?
Track freshness, coverage, search effectiveness, task success rates, issue resolution time, and feedback from users.
Category: Testing
What’s a hot topic in Documentation?
AI-assisted authoring and review, automated API reference generation, and embedding docs into developer workflows via IDEs.
Category: Topic
How should data privacy be handled in Documentation?
Avoid sensitive data in examples; anonymize datasets; define retention and access controls for doc repositories.
Category: Risk
Where to start when writing Documentation?
Define audience and tasks, outline guides and references, set a style guide, and iterate with user feedback.
Category: Requirements