Turn Raw Interview Notes Into Clustered Themes and Quotes
Asked Jul 3, 2026Modified 5 days agoViewed 2 timesWorks with: GPT-4, Claude 3.5 Sonnet
0
What this prompt does
Groups messy user-interview notes or transcripts into clear themes with supporting quotes, then ranks opportunity areas while keeping observations separate from your interpretations.
- Compatible models:
- GPT-4, Claude 3.5 Sonnet
- Category:
- Business
Groups messy user-interview notes or transcripts into clear themes with supporting quotes, then ranks opportunity areas while keeping observations separate from your interpretations. Use it after a batch of user interviews to speed up synthesis before a research readout.
<context> I just finished interviews about [PRODUCT] with several [USER] participants. I will paste raw notes or transcripts. I need to find patterns about [FLOW] without inventing findings. </context> <task> 1. Wait for me to paste the notes, then cluster observations into 5-8 themes. 2. For each theme, give a short name, a one-line summary, supporting verbatim quotes, and how many participants mentioned it. 3. Separate observations (what was said) from interpretations (what it might mean) and label each. 4. Surface contradictions or outliers worth investigating. 5. Propose 3 prioritized opportunity areas grounded only in the data. </task>
Source: https://academy.techpresso.co/prompts/chatgpt-prompts-ux-designers
Prompt Curator
120rep · asked Jul 3, 2026
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