customer-research

Extract customer insights from research assets and public online sources.

1|Updated May 10, 2026
One-click install
npx skills add https://github.com/Avihusitton/gil-therapy --skill customer-research-avihusitton
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/Avihusitton/gil-therapy/tree/main/.agents/skills/customer-research
Command: npx skills add https://github.com/Avihusitton/gil-therapy --skill customer-research-avihusitton

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the guesswork of making product, messaging, and positioning decisions based on unproven assumptions by extracting authentic, unfiltered insights directly from real customers. It works with both existing internal research assets and publicly available online sources to ensure all decisions are grounded in actual customer behavior, language, and needs.

Core Features & Use Cases

  • Dual research modes: Analyze existing assets (interview transcripts, survey responses, support tickets, review site content) or gather new research from digital watering holes (Reddit, G2, forums, social platforms) based on your needs.
  • Structured extraction framework: Pull standardized, actionable insights including jobs to be done, pain points, trigger events, desired outcomes, and exact customer verbatim language from any research source.
  • Validated synthesis: Cluster themes by frequency and emotional intensity, assign confidence scores to insights, and account for common sample biases to ensure reliable, actionable findings.
  • Use case: A product marketer can use this Skill to analyze 20 customer interview transcripts to identify top pain points for their SMB segment, or mine Reddit and G2 reviews to understand why customers are switching to a competitor.

Quick Start

Use the customer-research skill to analyze my recent customer support tickets and extract the top 3 recurring pain points and verbatim quotes for my B2B SaaS product.

Frequently Asked Questions about customer-research

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

FAQPage Schema
How do I extract pain points from customer support tickets and interview transcripts?

You can extract pain points from customer support tickets and interview transcripts by running them through a structured extraction framework. This process identifies recurring themes, jobs to be done, and exact verbatim language to eliminate guesswork in product decisions.

Can I mine G2 and Reddit reviews to build data-backed customer personas?

You can mine G2 and Reddit reviews to build data-backed customer personas by gathering public online sources and applying a structured extraction framework. This approach pulls standardized insights like trigger events, desired outcomes, and exact customer verbatim language.

How do I analyze customer survey responses to identify trigger events and desired outcomes?

You can analyze customer survey responses to identify trigger events and desired outcomes by applying a structured extraction framework. This method pulls standardized insights and assigns confidence scores to ensure reliable, actionable findings while accounting for common sample biases.

Can I use customer research for B2B SaaS competitive intelligence against switching competitors?

You can use customer research for B2B SaaS competitive intelligence by mining digital watering holes like forums and review sites. This reveals why customers are switching to competitors and delivers structured competitive intelligence summaries with confidence scoring.

What is the best way to generate a voice of customer quote bank from community forum posts?

The best way to generate a voice of customer quote bank from community forum posts is to apply a validated synthesis framework. This clusters themes by frequency and emotional intensity, extracting exact customer verbatim language to ground your messaging decisions.

Does customer research work for both B2B and B2C use cases without existing internal research assets?

Customer research works for B2B, SMB, and B2C use cases without existing internal assets by gathering new research from digital watering holes. It extracts authentic insights from public online sources like Reddit, G2, and social platforms to deliver themed research syntheses.