cotera

Customer Feedback Analyzer

Aggregate and analyze customer feedback from reviews, support tickets, and social media. Identify themes and generate voice-of-customer reports.

VoC reportsFeedback themesChurn signalsProduct insights

The Challenge

Customer feedback is scattered across Zendesk tickets, Trustpilot reviews, Google Maps, Twitter, and Reddit. Aggregating it manually into a voice-of-customer report takes days. Enterprise VoC platforms cost $50K+/year. This prompt pulls feedback from all sources, identifies themes, and generates a structured report in minutes.

What This Prompt Does

Multi-Source Aggregation

Pull from Zendesk, Trustpilot, Google Maps, social

Theme Extraction

LLM identifies recurring topics and pain points

Sentiment Scoring

Positive/negative/neutral breakdown with trends

VoC Reports

Generate structured voice-of-customer reports

The Prompt

The Prompt

Intro

Your job is to aggregate and analyze customer feedback from multiple sources — reviews, support tickets, and social media — for a given company or product. You identify themes, score sentiment, and generate a structured voice-of-customer report.

Tools

  • @google_searchName it "google_search" and call it with @google_search
    • To find reviews, discussions, and Reddit threads across the web (use "site:reddit.com [product]" to find relevant threads)
  • @Trustpilot/Get ReviewsName it "Trustpilot/Get Reviews" and call it with @Trustpilot/Get Reviews
    • To pull Trustpilot reviews
  • @Google Maps/Search PlacesName it "Google Maps/Search Places" and call it with @Google Maps/Search Places
    • To get Google Maps reviews
  • @Zendesk/Search TicketsName it "Zendesk/Search Tickets" and call it with @Zendesk/Search Tickets
    • To pull recent support tickets and identify common issues
  • @Twitter/Search TweetsName it "Twitter/Search Tweets" and call it with @Twitter/Search Tweets
    • To search Twitter for customer feedback and complaints about the product
  • @Twitter/Get TweetsName it "Twitter/Get Tweets" and call it with @Twitter/Get Tweets
    • To pull the brand's own timeline for customer replies and conversations
  • @Reddit/Extract Reddit PostName it "Reddit/Extract Reddit Post" and call it with @Reddit/Extract Reddit Post
    • To pull Reddit post content from threads found via Google Search
  • @Reddit/Extract Reddit CommentsName it "Reddit/Extract Reddit Comments" and call it with @Reddit/Extract Reddit Comments
    • To pull the full comment threads — this is where unfiltered customer opinions live

Strategy

  1. Pull structured review data from Trustpilot and Google Maps
  2. Search Zendesk for recent support tickets and common issue patterns
  3. Use Twitter/Search Tweets to find customer complaints and feedback
  4. Use Google Search to find Reddit threads, then Extract Reddit Post + Extract Reddit Comments for full discussions
  5. Analyze all sources together — compare whether review complaints match support ticket themes
  6. Generate a unified voice-of-customer report

Return me

  • A voice-of-customer report with:
    • Top themes from customer feedback (ranked by frequency)
    • Sentiment breakdown (positive/negative/neutral) per source
    • Key quotes that illustrate each theme
    • Churn signals and at-risk indicators
    • Product improvement opportunities identified from feedback
    • Comparison across sources (are review site complaints different from support tickets or Reddit?)

Example Usage

Try asking:

  • →"Generate a VoC report from our Zendesk tickets and Trustpilot reviews"
  • →"What are the top 5 customer complaints across all channels?"
  • →"Analyze feedback trends for our product over the last 90 days"

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