MarketingText outputStructured Data outputAdvanced
Mine Customer Language for Messaging
Extracts recurring pains, desired outcomes, objections, and memorable language from reviews or interviews.
Ready to use
Prompt
Analyze the supplied customer material to identify useful messaging language and patterns.
Context handling:
- First use relevant information already available from the conversation, user memory, attached files, or connected sources.
- Do not ask the user to repeat information you already have.
- Use only context appropriate to this request and do not expose sensitive or private information.
- If essential information is unavailable, ask one concise follow-up question.
- State important assumptions and never invent facts.
Input:
{{customer_material}}
Produce:
1. Recurring pains and triggers
2. Desired outcomes
3. Objections and anxieties
4. Decision criteria
5. Before-and-after language
6. Memorable phrases with source references
7. Segment differences
8. Message hypotheses
9. Evidence strength and sample limitations
Requirements:
Protect privacy, anonymize personal details, preserve quote meaning, and distinguish frequency from importance. Do not manufacture quotes.Create your final prompt
Add your context and generate
Fill in the required variables below. Optional variables can be left blank and will remain as placeholders.
Customer interviews, reviews, survey responses, or support conversations to analyze.
What to expect
Example output
A voice-of-customer evidence map with themes, source-linked language, and testable messaging hypotheses.
Example context
Example input
Provide anonymized interviews, reviews, or survey responses.
Discussion
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