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UX Writing: Foundations and AI-Assisted Techniques

via Nielsen Norman Group

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Details

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Provider

Nielsen Norman Group
Pricing

Paid Course
Languages

English
Effort

4 hours
Sessions

Self-Paced
Level

Intermediate

Found in

AI tools can generate UX copy in seconds. But producing content that’s clear, useful, trustworthy, and aligned with user needs still requires human judgment and a strong understanding of how people read and consume information in digital environments.

Syllabus

What you will learn

How people read and consume digital content

Common online reading and scanning behaviors from NN/G’s eyetracking research
What people skip, skim, and read in full, and why
How information overload affects comprehension and decision making
Why writing for digital experiences differs from writing for print
How AI-generated content can affect readability, trust, and perceived credibility

How to write and prompt for clarity, tone, and usefulness

Defining audience, needs, purpose, context, and format before writing or prompting
What questions, details, and information users expect content to address
How plain language improves accessibility, inclusivity, and understanding
How to define and maintain a consistent tone of voice across experiences
How AI tools can help accelerate drafting, restructuring, summarization, and iteration
Where AI can improve writing efficiency and where human judgment remains essential

How to evaluate and edit AI-generated copy

Common patterns and weaknesses in AI-generated writing
Applying plain language principles as an evaluation rubric for AI output
Editing AI-generated copy for structure, tone, voice, and word choice
How AI tools can help identify jargon, improve readability, and support consistency

How to format and structure copy for humans and AI tools

How to prioritize information to improve findability and comprehension
Formatting and structuring techniques for how people read online
Proper use of headings, hierarchy, and content layering to reduce cognitive load
How to write effective interface copy and microcopy for AI-powered experiences
Ways to improve content visibility in AI-generated answers and summaries
How AI previews and changing search behaviors affect content metrics
Content iteration through analytics, usability testing, and surveys