customer-feedback-aggregation

Solid

Aggregate and analyze customer feedback from multiple sources for product insights

AI & Automation 1,160 stars 71 forks Updated today MIT

Install

View on GitHub

Quality Score: 96/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

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

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Listed

customer-feedback-analyzer

Analyzes customer feedback from surveys, reviews, support tickets, and interviews to identify themes, prioritize improvements, and quantify sentiment. Use when processing NPS results, analyzing churn reasons, reviewing product feedback, understanding support ticket patterns, or building a product or service improvement roadmap.

3 Updated today
Adri3l-R3nan
AI & Automation Listed

user-feedback-aggregation

Collecting and synthesizing user feedback across channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils) into a continuous signal that informs product decisions. The triage discipline that distinguishes loudest-voice (whoever complains most wins) from averaged-noise (every signal weighted equally) from triaged-synthesis (signal weighted by source quality, frequency, and decision relevance). Triggers on user feedback, customer feedback aggregation, NPS, support ticket analysis, customer councils, feedback synthesis, voice of customer, feedback triage, in-app feedback. Also triggers when feedback channels overflow with volume that does not produce decisions, when the loudest-voice problem is steering roadmap, or when continuous feedback streams need synthesis discipline.

2 Updated today
rampstackco
Data & Documents Listed

voice-of-customer-synthesizer

Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams. Chains review-site-scraper for public review data.

713 Updated 3 weeks ago
gooseworks-ai
AI & Automation Featured

echo-feedback

Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Use when asked to "synthesize this feedback", "analyze support tickets", "what are users complaining about", "NPS analysis", "churn feedback synthesis", or "what's the feedback telling us".

2,274 Updated today
jeremylongshore
AI & Automation Listed

analyzing-user-feedback

Help users synthesize and act on customer feedback. Use when someone is analyzing NPS responses, processing support tickets, reviewing user research, synthesizing feedback from multiple channels, or trying to identify patterns in customer input.

0 Updated today
TindanLawrence