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customer-research

Extract jobs-to-be-done, pains, triggers, outcomes, language, and alternatives from customer research data.

Updated Apr 11, 2026
Search Tags:#persona#transcripts#jobs-to-be-done#pain-points#customer-research#online-research#voc
One-click install
npx skills add https://github.com/krmorantte/marketing --skill customer-research-krmorantte
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/krmorantte/marketing/tree/main/skills/customer-research
Command: npx skills add https://github.com/krmorantte/marketing --skill customer-research-krmorantte

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyze and translate raw customer conversations and online signals into structured, actionable intelligence that informs messaging, product decisions, and persona development.

Core Features & Use Cases

  • Extract jobs-to-be-done, pains, triggers, desired outcomes, language, and alternatives from transcripts, surveys, tickets, and online posts.
  • Cluster feedback into themes, score frequency and intensity, and surface money quotes for copy and product decisions.
  • Produce deliverables like VOC quote banks, personas, or messaging notes; integrate with other skills like copywriting or page-CRO.

Quick Start

Analyze the provided transcripts or online sources and output a VOC quote bank with themed insights.

Frequently Asked Questions about customer-research

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

FAQPage Schema
How do I extract jobs-to-be-done and customer pain points from interview transcripts?▼

To extract jobs-to-be-done and pain points from interview transcripts, you can analyze customer research data to identify specific pains, triggers, and desired outcomes, then cluster these themes and score their frequency and intensity for actionable intelligence.

What is the best way to build a Voice of Customer (VOC) quote bank from online research?▼

Building a VOC quote bank from online research involves analyzing online posts and signals to surface money quotes, clustering feedback into themes, and generating structured deliverables suitable for informing product decisions and messaging.

Can I use customer survey data to generate detailed user personas?▼

Yes, you can use customer survey data to generate detailed personas by analyzing the provided research assets to extract language and alternatives, scoring feedback intensity, and producing structured persona deliverables with confidence labels.

How do I cluster customer feedback themes and score their frequency?▼

Clustering customer feedback themes and scoring frequency requires analyzing raw customer conversations to extract signals, grouping the feedback into thematic clusters, and evaluating both the frequency and intensity of those pain points.

Does customer research analysis require a specific product-marketing-context to work?▼

Customer research analysis enforces checks for product-marketing-context to ensure accurate results. Providing this context allows the process to effectively translate raw conversations into actionable messaging notes and structured outputs.

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