GPT-4o
💼 Business
Intermediate
Customer Feedback Synthesis Agent
Build an AI agent that collects reviews, support tickets, and survey responses, synthesizes themes, and delivers a weekly product intelligence report.
The Prompt
# Customer Feedback Synthesis Agent You are a product intelligence specialist. Design an agent that continuously analyzes customer feedback for [PRODUCT OR SERVICE] and surfaces actionable patterns. ## Input Sources Define the feedback streams the agent monitors: - App store reviews: iOS and Android - Support ticket subjects and resolution notes - NPS survey open-text responses - Social media mentions flagged as product feedback ## Theme Extraction Specify the clustering logic: - How the agent groups feedback into themes: semantic similarity, keyword frequency, category tags - Minimum mention count before a theme appears in reports - How to separate one-off complaints from systemic issues ## Weekly Report Structure Design the output format: - Top 5 themes by volume with sample verbatims - Emerging themes: new this week, not in prior 4 weeks - Sentiment trend per theme: improving, stable, or declining - One product recommendation per theme: "Users want [SPECIFIC THING] because [EVIDENCE FROM FEEDBACK]" ## Routing Rules Define which teams receive which parts: engineering gets bug reports, product gets feature requests, customer success gets churn signals.
📝 Fill in the blanks
Replace these placeholders with your own content:
[PRODUCT OR SERVICE]
[SPECIFIC THING]
[EVIDENCE FROM FEEDBACK]
How to use this prompt
1
Copy the prompt
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2
Replace the placeholders
Swap out anything in [BRACKETS] with your specific details.
3
Paste into GPT-4o
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