customer-research

Name: customer-research
Availability: InStock
Author: scanbott

Analyze customer research data to extract pains, triggers, outcomes, and language.

Updated Apr 21, 2026

Search Tags:#personas #transcripts #jobs-to-be-done #customer-research #online-research #voc

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps analysts extract actionable customer insights from interviews, surveys, tickets, and online sources to ground messaging, product decisions, and personas.

Core Features & Use Cases

Analyze existing research assets (transcripts, surveys, tickets) to identify pains, triggers, desired outcomes, and language.
Go find new insights from online sources (Reddit, G2/Capterra reviews, forums, and communities) and extract verbatim quotes.
Cluster signals into themes with frequency and intensity to uncover money quotes and messaging opportunities.
Produce deliverables such as VOC quote banks and customer personas to inform copy, pages, and product strategy.

Quick Start

Provide your goal and available assets, and specify whether you want analysis of existing data or online research to begin extracting JTBDs, pains, triggers, outcomes, and the language customers actually use.

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 pains from interview transcripts?▼

To extract jobs to be done and customer pains from interview transcripts, you can use a customer research tool to analyze existing assets, systematically identifying triggers, desired outcomes, and the specific language customers use.

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 online insights from these sources and clustering the extracted verbatim quotes into themes based on frequency and intensity to uncover messaging opportunities.

Can I use customer research to generate personas from support tickets and surveys?▼

Yes, you can generate customer personas from support tickets and surveys by synthesizing the research data to reveal customer language, pains, trigger events, and desired outcomes expressed within those existing assets.

How does clustering customer feedback by frequency and intensity improve product messaging?▼

Clustering customer feedback by frequency and intensity improves product messaging by highlighting the most common and emotionally charged pain points, allowing you to prioritize the money quotes that resonate strongest with your target audience.

Do I need existing research data to perform online customer research?▼

No, you do not need existing research data to perform online customer research; you can directly gather new insights from online communities, forums, and review platforms to extract jobs to be done and customer vocabulary.

What is the difference between analyzing existing transcripts and gathering online customer insights?▼

Analyzing existing transcripts processes your internal research assets like surveys and tickets, while gathering online customer insights extracts verbatim quotes and pain points directly from external platforms like Reddit and software review sites.