Technical Writing

Course subjects

Module 1: Getting Started and the Technical Brief

• Define purpose, audience, and success criteria

• Structure a clear and concise technical brief

• Apply basic privacy considerations (APPs)

• Develop stakeholder requirements

• Create project scope and deliverable specifications

Module 2: Structure and Style

• Organise content using outlines, headings, and summaries

• Use cross-references, tables, and captions for clarity

• Apply consistent styles for readability

• Create effective information hierarchies

• Develop style guide foundations

Module 3: Plain Language and Grammar

• Write in plain English for web and print

• Apply AU/NZ writing conventions and style guides

• Edit for clarity, tone, and sentence structure

• Eliminate jargon and complex language

• Create scannable, readable content

Module 4: AI for Writers

• Use AI to support outlining, drafting, and editing

• Understand human oversight and ethical boundaries

• Include AI-use disclosures in your writing workflow

• Maintain quality control with AI assistance

• Balance efficiency with authenticity

Module 5: Writing for the Web

• Structure content for digital readability

• Apply WCAG 2.2 accessibility principles

• Label links, forms, and documents for clarity and compliance

• Create effective headings and navigation

• Optimise content for screen readers

Module 6: Short-form Writing

• Develop SOPs, checklists, policies, and forms

• Adapt style and tone for different formats

• Build a “micro-kit” of short documents

• Create effective instructional content

• Design user-friendly procedures

Module 7: Long-form Content

• Plan and structure long documents and manuals

• Use versioning and review workflows

• Introduce docs-as-code concepts (optional)

• Manage complex document projects

• Create comprehensive style consistency

Module 8: AI-Assisted QA and Finalisation

• Use AI to review style and accessibility

• Validate content against WCAG and policy standards

• Prepare your final submission with disclosure and checklist

• Implement quality assurance workflows

• Document AI usage and human oversight