What should UX writers consider when writing prompts for conversational chatbots?
Are ChatGPT and Gemini also useful for UX writers?
How can UX writers use AI chatbots for experience writing?
What should UX writers consider when interacting with conversational AI tools?
Product design will not be successful if UX texts are not written properly and the user gets confused and cannot interact with the product.
UX writers play a vital role in shaping the way users interact with digital products.
From writing short and precise texts to helping design familiar processes for product users, UX writers ensure that users understand the technology and interact with digital products in simple, understandable language.
The emergence of advanced AI tools and chatbots like ChatGPT and Gemini has impacted UX writing and the role of UX writers, just as it has impacted UI/UX design.
These conversational chatbots provide UX writers with a wealth of possibilities for ideation, content generation, and problem-solving.
Interacting with them is made possible through prompts.
Prompt writing is not an easy task. If the writer does not follow some tips in prompt writing, the answers and results he or she gets may be misleading.
In this article, we will examine the correct prompt writing method for UX writers to effectively interact with ChatGPT and Gemini to improve their work, and we will provide practical tips for writing functional prompts to maximize the potential of these tools.
Table of Contents
Prompt Writing for UX Writing
Before we get into the basics of prompt writing, it is necessary to get to know these tools and their applications in the UX writing process.
First, we will briefly introduce and compare ChatGPT and Gemini.
ChatGPT: This tool was developed by OpenAI. It is a conversational AI model that specializes in producing human-like texts. Due to its high adaptability, this tool is very useful for writing, ideating, and revising content.
Gemini: This AI model, designed by Google DeepMind, combines advanced linguistic capabilities with multimedia capabilities and outputs. Gemini can process text, images, and other data and deliver multimedia outputs. For this reason, it is very useful for designing rich and visual experiences.
Both tools have similar advantages, and choosing one over the other depends on user preference. Both help writers brainstorm better and more efficiently. Also, both help to move the different stages of the work faster.
Of course, each has unique capabilities. Knowing their differences helps UX writers to use these tools purposefully and strategically.
One of the most important differences between these two chatbots is that ChatGPT is more precise. So, if a UX writer needs precise information, he should choose ChatGPT.
On the other hand, it is Gemini that can deliver multimedia outputs (text, images, code, video, audio, and music). It has also been said that Gemini is more creative than ChatGPT.
So, if a UX writer needs more creative texts or wants to give the design image to the chatbot and receive the output in the form of an image, Gemini is a better choice.
However, the writer should try both to make the most suitable choice.
Uses of ChatGPT and Gemini in UX Writing
These two AI chatbots have different uses in the experience writing process.
Here are some ways UX writers can benefit from these tools:
1. Writing microcopy
Microcopy is short, guiding texts. Button text, error messages, and tooltips are some of the most important microcopy in digital products. These small details have a huge impact on the user experience and if they are not written well, the user will be confused and will not understand what they are being asked to do.
A UX writer can use ChatGPT to brainstorm and find the best microcopy that is simple and user-friendly. Also, the writer can give Gemini the design or image of the element and it will suggest the text that fits the visual element.
Sample prompt:
“Write three different versions of clear, friendly text for a button that allows users to upload a file.”
Output:
- Upload your file.
- Add your file here.
- Place the file here.
2. Develop a brand tone guide
Written by YX is important in product design because it ensures consistency and coherence of vocabulary and tone throughout the product.
If the brand voice is not known and the brand does not have a style guide, one of the responsibilities of the experience writer is to find and define the brand tone.
Conversations with AI chatbots help generate or refine the style guide. The writer can ask ChatGPT and Gemini to analyze several text samples and determine their tone. He can also ask them to generate a text with different tones.
Sample prompt:
“Analyze this text and explain the brand voice and tone: Welcome to our app! Let’s get set up quickly and get started.”
Output:
Voice: Friendly, warm, and enthusiastic.
Tone: Encouraging and positive.
3. Ideation and Text Optimization
AI tools are great for ideation and generating multiple versions of the same content for A/B testing.
UX writers can use AI chatbots to generate multiple drafts for testing and rewriting existing texts for different audiences.
Sample Prompt:
“Rewrite this welcome message for a professional audience: Hello! Ready to get started? Let’s set up your account in three easy steps.”
Output:
Welcome. Please follow these three steps to set up your account.
4. Simplify User Research
Understanding user needs and reviewing user experience texts of competing products are the pillars of writing user experience texts and are the most important steps in the experience writing process.
UX Writer uses a variety of user research to identify and understand user needs and analyze competitors.
AI tools help in analyzing survey responses, identifying patterns, and designing user personas.
The writer may ask ChatGPT and Gemini to analyze and summarize large amounts of qualitative data or design and develop user personas based on the data and information provided.
Sample prompt:
“Analyze the responses from this user survey and summarize the most important problems that users have with our product.”
Output:
User problems with your product include:
Difficulty finding settings,
Having unclear instructions during the product introduction process, and
Inconsistency and lack of consistency in the product’s vocabulary.
Tips for Writing Prompts for ChatGPT and Gemini
The writer can use AI chatbots to help speed up the work at all stages of UX writing.
In other words, AI is a co-author, and he uses ChatGPT and Gemini alongside and in addition to his creativity. AI is not a replacement for UX writers.
Theexperiencede writer should interact and collaborate constructively with chatbots. Review and edit the generated texts or ask the chatbot to edit them to fully match the tone and style of the brand.
Thexperiencedce writer may be able to use chatbots to generate quick prototypes, but should not rely on their responses to make final decisions and choices. AI is also not a substitute for human feedback (real users of the product).
Writing precise and clear prompts is the key to success in interacting and collaborating with conversational chatbots.
Therefore, if a texperiencednce writer wants to avoid wasting his time and get the most out of conversations with ChatGPT, Gemini, and other AI chatbots, he should practice prompt writing and follow some tips in writing prompts.
Below are important and effective tips for writing accurate prompts:
1. Write the prompt simply and clearly
The structure of the prompt should not be complex and nested. Give the chatbot simple and short sentences. Clearly and clearly state what you want it to do for you.
In addition to specifying the task, write the format, style, or tone that the output text should have in the prompt.
Example of a simple and clear prompt:
“Write an error message for an unsuccessful payment. The tone should be reassuring and suggest the next step.”
Of course, the texts you ask the chatbot to produce are not always short or simple. Sometimes the text or context of the text may be complex and full of details.
In these cases, it is better to write several simple prompts in a row and explain one explanation or detail in each prompt.
Example:
“List three ways that users might misunderstand this text. Then, for each mistake, suggest an improvement.”
2. Explain the context of the text in the prompt
Explain to the chatbot what the requested text is for and give it information about the context of the text toa get more accurate and relevant output.
Sample prompt to explain the context of the requested text:
“The user has tried to log in to their account three times and failed. Write a helpful error message. In the message, offer the user a password reset option.”
3. Specify output parameters in the prompt
Indicate to the chatbot how many words or sentences the output text should have and how many versions you want. List all the parameters that the output text should have, concisely and clearly in the prompt.
Sample prompt to specify output text parameters:
“Write three versions of the sign-up button text, each less than six words long.”
4. Give the chatbot an example in the prompt
If you can show the AI what you want and give it an example in the prompt, the chatbot’s performance and response will be much better and more accurate.
One important reason is that by giving an example, you allow the AI to better analyze and understand the context of the text.
Sample prompt for giving the chatbot an example:
“This is an example of our brand tone: Ready! Let’s get started.
Write a welcome message to set up the profile with this tone.”
5. Give feedback and request corrections in the prompt
After receiving the initial output from the chatbot, ask the AI to improve the output based on your feedback in subsequent prompts.
In the prompt, specify what is good and acceptable and what needs to be changed and corrected.
Sample prompt for giving feedback to a chatbot:
“The tone is good, but make the message shorter and more direct.”
Benefits of ChatGPT and Gemini for UX Writers
If UX writers follow the tips in this comprehensive guide to conversation and interaction with AI chatbots and prompts for UX writing, they will benefit from using these tools in the UX writing process.
Among the most important benefits are the following:
- Increased productivity: ChatGPT and Gemini produce requested texts or optimize generated texts in a matter of seconds.
- Ensuring consistency: These language models help maintain the tone and style guide of the brand and ensure uniformity of the output texts.
- Scalability: AI can produce multiple different versions of the text for A/B testing, speeding up the revision process.
- Creative Direction: These tools are great for helping with ideation and offer angles or phrases that writers may not have thought of.
- Improve accessibility: Gemini’s multimedia capabilities make it easy for writers to design content for different users with different needs, preferences, and abilities.
Limitations of AI Chatbots in UX Writing
AI tools are indeed powerful and their use in the UX writing process has many benefits, but chatbots do make mistakes.
Therefore, their limitations should be considered when using them.
The most important limitations of ChatGPT and Gemini that UX writers should be aware of are:
- Lack of deep understanding of the context of user experience texts: No matter how accurate the UAC writer is in writing prompts, the AI may still not be able to understand all the details or specific needs of the users.
- Repetitive patterns: Chatbots have very limited creativity and their creativity is different from human creativity. For this reason, the generated text may be clichéd or repetitive. Therefore, the writer must carefully review the outputs.
- The bias of algorithms: Unfortunately, AI may not be unbiased. The algorithms that chatbots are trained with may have biases. This is why it is essential to review possible biases in AI outputs.
- Limited visual understanding: Gemini has multimedia capabilities, but it may not fully understand the design image or visual element, and as a result, the output text may not match the actual design goals.