Use AI to quickly generate a detailed UX research insight matrix from messy notes in one step.
When you collect a lot of user interview notes or session highlights, turning them into a clear, prioritized insight matrix can take hours. Instead of sorting and categorizing manually, paste all your raw notes into ChatGPT or Claude and ask it to organize them into a structured matrix with key themes, user quotes, impact, and recommended actions. This saves time by combining synthesis, prioritization, and formatting in one go. You can then tweak or expand the matrix as needed, but the bulk of the work is done in minutes, freeing you to focus on strategy and design.
Try this prompt today
“You are a UX researcher. Here are raw notes from several user interviews: [paste notes]. Organize these notes into a table with four columns: 1) Key theme or insight, 2) Supporting user quote, 3) Impact on user experience (high, medium, low), and 4) Suggested action for design. Prioritize the themes from most to least important. Present the result clearly so I can use it in my report.”
February 10, 2026
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