What is feedback-analysis?
Customer feedback analysis — sentiment detection, NPS/CSAT frameworks, feature request clustering, support ticket triage, churn signal detection, and feedback-to-roadmap translation Source: oimiragieo/agent-studio.
Customer feedback analysis — sentiment detection, NPS/CSAT frameworks, feature request clustering, support ticket triage, churn signal detection, and feedback-to-roadmap translation
Quickly install feedback-analysis AI skill to your development environment via command line
Source: oimiragieo/agent-studio.
Customer feedback analysis transforms raw feedback into actionable intelligence across six interconnected capability areas. All capabilities share a common data pipeline: unified multi-channel feedback collection feeds sentiment detection, which powers NPS/CSAT scoring, feature clustering, ticket triage, churn signals, and ultimately roadmap prioritization.
Iron Law: All analysis degrades without unified data. Single-channel view creates blind spots.
Output: A unified feedback dataset with source, timestamp, channel, user tier, and raw text per item.
Customer feedback analysis — sentiment detection, NPS/CSAT frameworks, feature request clustering, support ticket triage, churn signal detection, and feedback-to-roadmap translation Source: oimiragieo/agent-studio.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/oimiragieo/agent-studio --skill feedback-analysisCustomer feedback analysis — sentiment detection, NPS/CSAT frameworks, feature request clustering, support ticket triage, churn signal detection, and feedback-to-roadmap translation Source: oimiragieo/agent-studio.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/oimiragieo/agent-studio --skill feedback-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/oimiragieo/agent-studio