Read the raw customer input below (support messages, call notes, survey responses, reviews, or any direct customer voice).
Produce:
1. The top 5 themes, ranked by frequency (number of mentions).
2. Per theme, 2-3 verbatim quotes - exact words, not paraphrased.
3. One suggested next move based on what the data is actually telling you, not what's easy to fix.
If the input has fewer than 20 messages, say so and refuse to extract themes - 20 is the minimum for a real signal.
The raw input:
{{customer_input}}
Synthesize customer pain points
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the prompt
Example output
Themes from 47 support messages, ranked by frequency:
1. Setup friction (14 mentions):
- 'I gave up after the third permission popup.'
- 'Why does this need accessibility access?'
- 'I'll come back when this is one click.'
2. Sync confusion (11 mentions):
- 'My iPhone doesn't see what's on my Mac.'
- 'How do I know if iCloud is working?'
- 'It saved on one device and I can't find it on the other.'
3. Pricing skepticism (9 mentions):
- 'Why is this not a one-time purchase?'
- 'I won't pay monthly for a clipboard.'
- '$59/yr feels high for what this does.'
4. Feature requests (8 mentions, scattered):
- 'Can I share a folder with my team?'
- 'Add a shortcut for the last-used prompt.'
5. Bug reports (5 mentions): menubar disappears after macOS sleep.
Suggested next move: the top three themes are about confidence, not features. Setup friction, sync visibility, and pricing skepticism are all 'I don't trust this works' problems. Address those before any new features.
Common mistakes
Don't paste fewer than 20 messages - the model will pattern-match on noise and produce a confident map of nothing. Also: the verbatim quotes are the gold. Do not let the model paraphrase them ('a user expressed concern about pricing'). Push back if it does. The whole point is to capture customers' actual words so you can quote them in marketing copy. A paraphrased quote is dead on arrival.
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Why it works
Pain-point research is the most under-done activity in marketing - everyone talks about 'voice of customer' and almost nobody does it systematically. This prompt does it in one paste. Dump call notes, support tickets, survey responses, or scraped reviews, and it returns themes with verbatim quotes and frequency. The verbatim quotes are critical: they let you write copy in customers' actual words, which beats invented marketing language every time. Run this monthly on your support inbox and you'll have a continuously updated map of what customers actually struggle with - which is the source of every good headline, blog topic, and feature decision.