Customer Voice Extraction
Extract 20 real customer voices from X with exact quotes, classification, and a pull list for internal use.
Product managers and founders building internal presentations, retro docs, or support prioritization using real customer language.
Prompt
Find 20 recent X posts from real customers of [COMPANY / PRODUCT]. For each post: 1. Paste the exact language 2. Classify: praise / complaint / feature request / support issue / confusion 3. Note if the customer tagged the company and whether the company responded End with: - The 3 biggest patterns across the posts - The 3 quotes I should put on a slide to make a product case internally - The 1 thread that deserves a personal response from a founder Skip anything from the company's own accounts or from obvious bots.
Parameters
💡Pro Tips
- •Classifying each post makes downstream analysis trivial
- •Asking for 3 slide-worthy quotes turns research into internal ammunition
- •Filtering out company accounts and bots is a necessary Grok instruction
Tags
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