AI Prompts Every UX Researcher Should Save

By Philip Burgess | UX Research Leader

User experience research demands creativity, precision, and efficiency. AI tools can help researchers generate ideas, analyze data, and communicate findings faster. However, knowing which AI prompts to use can make a big difference in the quality and speed of your work. This post shares essential AI prompts every UX researcher should save to improve their workflow and deliver better insights.

A UX research dashboard with visual data and notes

Generating Research Questions and Hypotheses

Starting a UX study requires clear research questions and hypotheses. AI can help you brainstorm these based on your project goals.

• Prompt example:

“Generate 5 research questions to explore user pain points in a mobile banking app.”

• Prompt example:

“Suggest hypotheses about why users abandon the checkout process on an e-commerce website.”

These prompts help you quickly frame your study and ensure your questions focus on real user challenges. You can adjust the prompt to fit different product types or user groups.

Creating User Interview Scripts

Interviewing users is a core part of UX research. AI can draft interview scripts that cover key topics while sounding natural and engaging.

• Prompt example:

“Write a semi-structured interview script to understand how users manage their daily tasks with a productivity app.”

• Prompt example:

“Create open-ended questions to explore users’ feelings about online privacy settings.”

Using AI-generated scripts saves time and helps avoid biased or leading questions. You can customize the tone and length depending on your audience.

Analyzing Qualitative Data

Transcripts from interviews or usability tests often contain rich but messy data. AI can assist in summarizing and categorizing this information.

• Prompt example:

“Summarize the main themes from this user interview transcript about a fitness tracker app.”

• Prompt example:

“Identify common frustrations mentioned by users in these usability test notes.”

These prompts help you spot patterns faster and prepare reports with clear insights. You can feed AI with raw text or bullet points for analysis.

Notebook with UX research notes and pen on a wooden table

Writing Research Reports and Presentations

Communicating findings clearly is crucial. AI can draft report sections or presentation slides that highlight key results and recommendations.

• Prompt example:

“Write an executive summary for a UX research report on improving navigation in a travel website.”

• Prompt example:

“Create bullet points for a presentation slide about user satisfaction improvements after redesign.”

These prompts help you produce polished documents quickly, leaving more time for refining and tailoring your message.

Designing Surveys and Questionnaires

Surveys are useful for gathering quantitative data. AI can suggest well-phrased questions and answer options that reduce bias and improve response rates.

• Prompt example:

“Generate 10 survey questions to measure user satisfaction with a food delivery app.”

• Prompt example:

“Suggest multiple-choice options for a question about preferred payment methods in an online store.”

You can adapt these prompts to different survey goals, ensuring your questions are clear and relevant.

Creating Personas and User Journey Maps

Personas and journey maps help visualize user needs and experiences. AI can assist in drafting these based on research data.

• Prompt example:

“Create a user persona for a busy professional using a meditation app.”

• Prompt example:

“Outline a user journey map for someone booking flights on a travel website.”

These prompts provide a starting point for your design team to understand users better and create targeted solutions.

Tips for Using AI Prompts Effectively

• Be specific: The more details you include in your prompt, the better the AI output. Mention the product type, user group, or research goal.

• Iterate: Don’t expect perfect results on the first try. Refine your prompts based on the AI’s responses.

• Combine with human judgment: Use AI as a tool, not a replacement. Always review and adjust AI-generated content.

• Keep privacy in mind: Avoid sharing sensitive user data in AI tools without proper safeguards.