customer-research

Name: customer-research
Availability: InStock
Author: chriswestt

Analyzes and synthesizes customer research into VOC quote banks and personas.

Updated Apr 21, 2026

Search Tags:#personas #interviews #transcripts #jtbd #customer-research #online-research #voc

Ready to run

npx skills add https://github.com/chriswestt/claude-skills --skill customer-research-chriswestt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/chriswestt/claude-skills/tree/main/customer-research
Command: npx skills add https://github.com/chriswestt/claude-skills --skill customer-research-chriswestt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams systematically uncover and synthesize what customers think, feel, say, and struggle with, so messaging, product, and strategy are grounded in reality.

Core Features & Use Cases

Analyze existing research assets (transcripts, surveys, tickets, reviews) to extract jobs to be done, pains, triggers, outcomes, language, and alternatives.
Go find new research online (Reddit, G2, forums, communities) to collect verbatim quotes and target vocabulary for VOC and persona work.
Synthesize findings by clustering themes, scoring frequency and intensity, segmenting by customer profile, and delivering outputs like VOC quote banks and personas.

Quick Start

Choose a research mode (analyze assets or gather online insights) and run the extraction framework to capture jobs, pains, triggers, outcomes, language, and alternatives.

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 from customer interview transcripts?▼

To extract Jobs to Be Done from customer interview transcripts, analyze existing research assets to identify customer jobs, pains, triggers, outcomes, language, and alternatives. This systematic synthesis reveals what customers think, feel, say, and struggle with.

What is the best way to analyze Reddit and G2 reviews for VOC quote banks?▼

Analyzing Reddit and G2 reviews for VOC quote banks involves gathering new online insights from forums and communities, then clustering verbatim quotes by theme. You segment findings by customer profile and score frequency and intensity to build target vocabulary.

Can I use customer research to segment personas by pain points and triggers?▼

Yes, you can use customer research to segment personas by pain points and triggers. The extraction framework clusters themes from surveys, tickets, and reviews, scoring frequency and intensity to deliver segmented outputs like VOC quote banks and personas.

How do I synthesize customer survey data to identify outcomes and alternatives?▼

To synthesize customer survey data and identify outcomes and alternatives, apply an extraction framework to your existing research assets. This process clusters themes and scores frequency and intensity, revealing what customers truly want to achieve and what they currently use instead.

Does this approach work for both B2B and B2C customer research analysis?▼

Yes, this customer research analysis approach works for both B2B and B2C contexts. It systematically uncovers and synthesizes what customers think, feel, say, and struggle with across various online communities and existing research assets.

When should I use an extraction framework for customer research versus manual analysis?▼

You should use an extraction framework for customer research when you need to systematically cluster themes and score frequency and intensity across large volumes of transcripts, tickets, or online reviews. Manual analysis often lacks the consistency needed to reveal accurate jobs, pains, and triggers.