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mktg-customer-research

Extract customer pains, triggers, and desired outcomes from transcripts and surveys.

Updated Aug 27, 2026
Search Tags:#theming#analysis#surveys#transcripts#jobs-to-be-done#customer-research#voc
One-click install
npx skills add https://github.com/GetFresh-Ventures/gxd-ceo-ai-kit --skill mktg-customer-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mktg-customer-research
Source: https://github.com/GetFresh-Ventures/gxd-ceo-ai-kit/tree/main/skills/mktg-customer-research
Command: npx skills add https://github.com/GetFresh-Ventures/gxd-ceo-ai-kit --skill mktg-customer-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps teams uncover what customers think, feel, and struggle with by delivering structured, signal-rich customer research insights grounded in real data.

Core Features & Use Cases

  • Extract pains, triggers, and desired outcomes from customer assets (transcripts, surveys, tickets) using a Jobs to Be Done framework.
  • Cluster themes across sources, surface the most important signals, and provide representative verbatim quotes for copy and messaging.
  • Produce outputs such as a VOC quote bank, top themes by frequency and intensity, and actionable recommendations for product, marketing, and CX.
  • Support knowledge transfer to messaging strategies, personas, and product improvements based on data.

Quick Start

Provide a concise VOC-focused brief by analyzing the latest transcripts and surveys to surface top pains, JTBD, and verbatim customer quotes for messaging and product decisions.

Frequently Asked Questions about mktg-customer-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract customer pains and desired outcomes from interview transcripts?▼

You can extract pains and desired outcomes from transcripts by applying a Jobs to Be Done framework to identify themes, triggers, and verbatim quotes. This surfaces structured customer research insights for data-driven marketing decisions.

What is the best way to analyze support conversations for Voice of the Customer insights?▼

Analyzing support conversations for Voice of the Customer insights involves clustering themes across sources to surface top pains by frequency and intensity. This yields a VOC quote bank and actionable recommendations for cross-functional teams.

Can I use survey responses to generate a VOC quote bank for marketing copy?▼

Yes, you can process survey responses to generate a VOC quote bank by extracting representative verbatim quotes and clustering them by theme. This grounds your marketing copy in real customer language and data.

How do I surface cross-source contradictions when analyzing jobs to be done from mixed customer data?▼

Surfacing cross-source contradictions involves comparing extracted JTBD themes across transcripts and surveys while weighting recent data. This highlights conflicting customer signals to prevent misaligned product messaging.

Does customer research analysis require pre-formatted transcripts and survey files?▼

Customer research analysis requires raw customer assets like transcripts, surveys, and support tickets. Providing these unformatted inputs enables the extraction framework to process verbatim text and deliver confidence-weighted deliverables.

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