customer-feedback-aggregation

name	Customer Feedback Aggregation
description	Aggregate and analyze customer feedback from multiple sources for product insights
allowed-tools	["Read","Write","Glob","Grep","Bash"]
graph	{"domains":["domain:software-engineering"],"specializations":["specialization:product-management"],"skillAreas":["skill-area:user-research","skill-area:product-analytics"],"roles":["role:product-manager","role:product-analyst"],"workflows":["workflow:product-discovery","workflow:competitive-analysis"]}

Customer Feedback Aggregation Skill

Overview

Specialized skill for aggregating and analyzing customer feedback from multiple sources. Enables product teams to synthesize voice-of-customer data into actionable insights for product decisions.

Capabilities

Data Collection

• Parse support tickets for feature requests
• Analyze NPS/CSAT verbatim responses
• Extract themes from sales call notes
• Monitor app store reviews
• Aggregate feedback from Intercom/Zendesk
• Process customer interview transcripts

Analysis

• Calculate feature request frequency
• Track sentiment trends over time
• Identify emerging themes and patterns
• Segment feedback by customer type
• Correlate feedback with customer attributes
• Detect urgency and impact signals

Synthesis

• Generate feedback summary reports
• Create feature request rankings
• Build customer pain point matrices
• Generate insight recommendations
• Create feedback-to-feature mapping

Target Processes

This skill integrates with the following processes:

• jtbd-analysis.js - Voice of customer for jobs analysis
• feature-definition-prd.js - Customer-driven requirements
• rice-prioritization.js - Reach and impact scoring
• customer-advisory-board.js - CAB feedback synthesis

Input Schema

{
  "type": "object",
  "properties": {
    "sources": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": { "type": "string", "enum": ["support-tickets", "nps-verbatim", "sales-calls", "app-reviews", "interviews", "surveys"] },
          "data": { "type": "array", "items":     
              
        
      
       
    
     
       
           
       
    
     
       
          
       
    
     
       
       
              
              
      
    
  
   

Output Schema

{
  "type": "object",
  "properties": {
    "summary": {
      "type": "object",
      "properties": {
        "totalFeedbackItems": { "type": "number" },
        "sourceBreakdown": { "type": "object" },
        "dateRange": { "type": "object" },
        "overallSentiment": { "type": "string" }
      }
    },
    "themes": {
      "type": "array"
       
         
         
              
              
              
                   
              
        
      
    
     
       
       
         
         
              
              
                   
              
              
                   
        
      
    
     
       
       
         
         
              
              
              
              
        
      
    
     
       
       
                 
                 
            
      
    
     
       
       
         
         
              
              
                   
        
      
    
  

Usage Example

const feedbackAnalysis = await executeSkill('feedback-aggregation', {
  sources: [
    {
      type: 'support-tickets',
      data: supportTickets,
      dateRange: { start: '2026-01-01', end: '2026-01-24' }
    },
    {
      type: 'nps-verbatim',
      data: npsResponses
    },
    {
      type: 'app-reviews',
      data: appStoreReviews
    }
  ],
  analysisScope: 'all',
  segmentation: ['plan_type', 'company_size', 'tenure']
});

Dependencies

• NLP capabilities
• Support platform APIs (Intercom, Zendesk)
• App store APIs