04.11.2025

UX Writer: This is how to master current UX trends

UX writing has long been more than just “text on buttons”. Our current UX trends show how important UX writing is for a successful user interface. Get to know our current UX trends and find out what they mean for your work as a UX writer.

 

“UX writing is the production, evaluation and optimization of all texts that guide users through interactive systems and support them in achieving their goals. This makes UX writing an integral part of UX design,” writes the German UPA in its UX writing guidelines.

If you want to design digital products in a user-centric way, you need to understand how language shapes the entire user experience. Language creates orientation, conveys emotions, builds trust and makes digital products accessible. It’s not just about writing texts, but about making the interaction between user and product clear, understandable and trustworthy.

UX writing therefore includes all text elements within a user interface – from longer text modules such as explanatory texts or FAQs – to smaller text elements such as the labeling of buttons, error messages or progress notes (= microcopy).

These well-designed short text elements in particular ensure a positive user experience and offer many advantages:

  • Users feel safe, their loyalty and satisfaction increase

  • Barriers are overcome, errors and dropouts are reduced

  • Products appear more professional and comprehensible.

  • Emotions are conveyed and the brand voice remains consistent.

UX trends and their relation to UX Writing

Our UX experts Britta and Silvana have taken a close look at current UX trends and highlighted their significance for UX writing.

AI integration

AI tools are finding their way into all types of interfaces and the UX process.

Relevance for UX writingUX writers create texts for AI functions, develop guidelines for AI chatbots and use AI tools themselves to generate texts.

Examples:

  • For the chatbot of an insurance app, the UX writer develops suitable text elements that the AI can access.
  • An intelligent assistant in the production environment supports users. UX Writing must help to recognize when the AI encounters errors, for example via recovery texts such as “Several possible orders found. Please select the appropriate one.”

Tips

  • Understand how the AI you are working with works.
  • Create trust through transparent information on the use of AI.
  • Define guidelines so that AI chatbots integrate seamlessly into the language of the UI.
  • Use AI tools consciously to support text generation, but take responsibility for tonality and clarity.

Personalized & adaptive interfaces

Interfaces and their content adapt dynamically to context, user behavior, location or end device.

Relevance for UX writingTexts must vary depending on the situation, for example the tonality during onboarding as opposed to in the event of an error; adaptive help texts.

Examples:

  • Banking app appeals to new customers differently than existing customers.
  • “Progressive onboarding hints” gradually display tips and assistance – depending on which function is currently being used.

Tips

  • Write in a modular and context-sensitive way.
  • Consider user groups (who do you want to address?) and end device (e.g. mobile vs. PC).
  • Test variants to achieve the best effect.

Conversational UX (voice, chatbots, multimodality)

Voice assistants, chat UIs and hybrid interfaces are becoming standard.

Relevance for UX writingUX writers create natural dialog that fits both spoken and written channels; short, clear responses, tone, timing and context are key.

Example:

  • Chatbot onboarding, voice error messages, short follow-up prompts (suggestions for subsequent options)

Tips

  • Write the way you speak – clearly, friendly, naturally.
  • Use follow-up prompts for fluent dialog.
  • Pay attention to timing and context when answering.

Trust-Centered & Ethical UX

Transparency and trust are crucial for products with AI, data analysis or sensitive processes.

Relevance for UX writingMicrocopy must provide clear explanations, privacy notices, consent dialogs and “Why am I seeing this?” texts.

Example:

  • Understandable cookie consent, explanatory AI labels

Tips

  • Avoid legal jargon and write clearly.
  • Explain why data is needed.
  • Use honest, confidence-building language.

Accessibility & Inclusive Design

Accessibility and inclusive experiences are standard.

Relevance for UX writingTexts must be understandable for everyone – regardless of language, education or restrictions (so-called plain language texts or gender-appropriate formulations. Screen readers require additional texts, for example for images, labels and error messages, so that the UI is understandable even without the visual properties of the design.

Tips

  • Use simple, clear language.
  • Avoid stereotypical or exclusive formulations.
  • Test texts for screen reader suitability.

Design systems & Scalable UX

Design systems bundle components for consistent, efficient interfaces.

Relevance for UX writingText modules and terminology become part of the component library and are important for consistency and scalability.

Example:

  • Uniform button labels, tooltip texts and error messages across all products

Tips

  • Work closely with design and development teams.
  • Maintain a central UI copy database to be able to use button labels etc. consistently.
  • Define scalable tonality and style guidelines.

Conclusion

Our UX trends and the “Dos” offer great potential for your work as a UX writer: they show how important the role of UX writing is in the design process and provide arguments for further expanding it. After all, UX writing makes a significant contribution to the commercial success of a digital product or service.

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