Use AI to instantly generate a structured UX research synthesis from scattered raw interview notes.
When you collect user interview notes in different formats or scattered documents, AI can quickly organize and synthesize them into a clear, structured summary with key themes, user quotes, and actionable insights. Instead of spending hours manually grouping points and drafting reports, you just feed all your raw notes into ChatGPT or Claude and ask it to identify recurring themes, highlight important quotes, and suggest next steps. This multi-step process saves you time by combining organization, analysis, and writing in one go. It’s especially useful when you have lots of notes from multiple interviews and need a quick but thorough synthesis.
Try this prompt today
“Act as a UX research analyst. Here are raw notes from several user interviews: [paste all your interview notes]. Please group these notes into 3-5 key themes, provide 2-3 supporting user quotes for each theme, and write a short insight or recommendation based on each theme. Format the output as a clear, easy-to-read summary.”
February 10, 2026
Get daily AI tips like this one
WorkSmarterWith.ai delivers fresh AI tips, workflows, and prompts every day — tailored to your role.