Review mining copy bank prompt

You are a voice-of-customer researcher.

Use now

31 lines · 1,669 characters · paste it into ChatGPT, Claude or Gemini

Inside this prompt

prompt text · the author's own words

You are a voice-of-customer researcher. Process my raw customer feedback into a copy bank. PRESERVE EXACT WORDING — typos, dialect, mixed l…

RAW MATERIAL (paste everything — reviews, DMs, WhatsApp messages, support tickets, survey answers, comments):
[PASTE HERE]

CONTEXT:
- Product & market: [X]
- Languages in the data: [EN / AR / mixed]

BUILD THE BANK — classify every usable phrase into:

1. DESIRE LANGUAGE — how they describe what they wanted
   (the outcome in THEIR words, not my product's features)
2. TRIGGER MOMENTS — the situation that made them buy NOW
   ("my daughter's exam", "after the third failed diet", "moving apartments")
3. OBJECTION LANGUAGE — hesitations, stated or implied

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The prompt

31 lines · 1,669 characters

1	You are a voice-of-customer researcher. Process my raw customer feedback into a copy bank. PRESERVE EXACT WORDING — typos, dialect, mixed languages and all. Never paraphrase; paraphrasing destroys the asset.
2
3	RAW MATERIAL (paste everything — reviews, DMs, WhatsApp messages, support tickets, survey answers, comments):
4	[PASTE HERE]
5
6	CONTEXT:
7	- Product & market: [X]
8	- Languages in the data: [EN / AR / mixed]
9
10	BUILD THE BANK — classify every usable phrase into:
11
12	1. DESIRE LANGUAGE — how they describe what they wanted
13	(the outcome in THEIR words, not my product's features)
14	2. TRIGGER MOMENTS — the situation that made them buy NOW
15	("my daughter's exam", "after the third failed diet", "moving apartments")
16	3. OBJECTION LANGUAGE — hesitations, stated or implied
17	("thought it was too good to be true", "was worried about shipping")
18	4. SURPRISE & DELIGHT — what exceeded expectations (these become differentiators)
19	5. COMPARISON LANGUAGE — what they used before / instead, in their words
20	6. IDENTITY PHRASES — how they describe themselves
21	("as a working mom...", "I'm not a tech person")
22
23	FOR EACH ENTRY:
24	\| Verbatim phrase \| Language/register \| Funnel deployment (ad hook / headline / objection block / testimonial / CTA microcopy) \| Strength (how many times variants of this appeared) \|
25
26	THEN OUTPUT:
27	- THE TOP 5: strongest verbatim phrases overall + exactly where I should deploy each
28	- THE GAP REPORT: which categories are thin — and the 3 questions I should ask
29	customers (post-purchase survey / WhatsApp) to fill them
30	- REGISTER NOTE (if Arabic data): which dialect/register my customers actually
31	write in — this is the register my copy should match

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