customer-feedback-aggregation

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Aggregate and analyze customer feedback from multiple sources for product insights

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

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Skill Content

# 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 ```json { "type": "object", "properties": { "sources": { "type": "array", "items": { "type": "object", "properties": { "type": { "type": "string", "enum": ["support-tickets"...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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