How it might affect what you write
Personalised support and guided workflows
Chatbots should offer suggestions based on the user’s specific context or previous interactions, ensuring relevant, tailored prompts. This is especially important in technical communication, where users often have varied levels of expertise. If a user repeatedly asks for help with the same function, the chatbot could proactively offer tips related to that function, but only when the user shows signs of needing help.
For users who need to learn or familiarise themselves with certain technical documentation, the chatbot can develop personalised learning paths. By tracking the user’s progress, it could offer tailored guidance based on what the user has already learned and which areas they’re struggling with.
Writing adaptable content
Chatbots have language processing skills that enable them to rephrase content to different contexts and types of users.
However, you might need to write content at different technical ability levels, so the chatbot can adjust and personalise the language to each user. You might also want to create examples that can be customised by the chatbot for different users and contexts.
In other situations, you might need to mark-up your existing content semantically, so it is clear which topics are relevant to specific contexts or types of user.
See also
Part 5: Implementation considerations
Part 3: Core design principles
Using Generative AI in Technical Writing
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