How does it help with customer research?

It provides structured frameworks for program design, channel selection, and signal processing, ensuring feedback is mapped to specific journey stages rather than existing in a vacuum.

Can it handle both qualitative and quantitative data?

Yes, it is designed to integrate qualitative sources like interviews and community posts with quantitative metrics like NPS, CES, and product telemetry.

What is the Voice of Customer skill for Claude Code?

It is a specialized capability that helps Claude guide users through designing, running, and synthesizing customer feedback programs to improve the buyer and user journey.

How are insights turned into actions using this skill?

The skill utilizes a signal-to-action tracker that pairs every identified insight with a recommended experiment, owner, and expected metric lift to ensure accountability.

Voice of Customer Analysis

Name: Voice of Customer Analysis
Author: gtmagents

bygtmagents

•

마케팅 자동화

Synthesizes customer feedback and journey data into actionable business insights and experiment-driven roadmaps.

소개

The Voice of Customer (VOC) skill empowers Claude to act as a research strategist, helping teams design and execute feedback loops across the entire customer lifecycle. It provides a structured framework for identifying friction points, selecting the optimal mix of qualitative and quantitative data sources, and translating raw feedback into prioritized action items. Whether you are validating a new journey hypothesis or building a continuous feedback loop through surveys and support mining, this skill ensures every customer signal is captured, tagged, and mapped to specific journey stages for maximum strategic impact.

주요 기능

Sentiment and friction analysis with impact-based tagging
Multi-channel signal processing for qualitative and quantitative data
Journey-mapped insight packaging with quote boards and KPI overlays
End-to-end VOC program design including persona and touchpoint mapping
Signal-to-action tracking to bridge the gap between research and experimentation
29 GitHub stars

사용 사례

Building continuous feedback loops using NPS, CES, and product usage telemetry
Translating raw customer interviews and support tickets into prioritized product requirements
Conducting journey discovery projects to validate product-market fit or feature adoption

소개

주요 기능

Sentiment and friction analysis with impact-based tagging
Multi-channel signal processing for qualitative and quantitative data
Journey-mapped insight packaging with quote boards and KPI overlays
End-to-end VOC program design including persona and touchpoint mapping
Signal-to-action tracking to bridge the gap between research and experimentation
29 GitHub stars

사용 사례

Building continuous feedback loops using NPS, CES, and product usage telemetry
Translating raw customer interviews and support tickets into prioritized product requirements
Conducting journey discovery projects to validate product-market fit or feature adoption