customer-research

Extract and structure customer insights from transcripts, surveys, tickets, and reviews.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/ecomm360-sl/isaacbosch-emdash-web --skill customer-research-ecomm360-sl
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/ecomm360-sl/isaacbosch-emdash-web/tree/main/.agents/skills/customer-research
Command: npx skills add https://github.com/ecomm360-sl/isaacbosch-emdash-web --skill customer-research-ecomm360-sl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

You need a structured approach to gather, analyze, and synthesize customer research so your messaging, personas, and product decisions are grounded in real user signals.

Core Features & Use Cases

  • Analyze existing assets (transcripts, surveys, tickets, reviews) to extract jobs-to-be-done, pains, triggers, outcomes, language, and alternatives.
  • Go find research online (Reddit, G2, forums, communities) to fill gaps and compare competitors.
  • Produce deliverables: VOC quote banks, personas, jobs-to-be-done maps, messaging insights, and research reports.
  • Provide synthesis steps, confidence scoring, and guardrails.

Quick Start

Kick off by checking for product context, then run Mode 1 analysis to extract jobs, pains, and outcomes.

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?▼

Customer research extraction analyzes transcripts to identify jobs-to-be-done, pains, triggers, and outcomes. It structures these insights into VOC quote banks and JTBD maps with clear source provenance and confidence labeling.

Can I analyze customer reviews and support tickets to build user personas?▼

Yes, you can analyze existing assets like reviews and support tickets to extract customer language and alternatives. The synthesis process structures these signals into personas and messaging insights grounded in real user data.

What is the best way to gather voice of the customer data from online communities?▼

Voice of the customer research gathers data from online sources like Reddit, G2, and forums to fill research gaps. It applies an extraction framework to synthesize themes and money quotes across sources for messaging insights.

How do I structure customer research to ground product messaging decisions?▼

Grounding product messaging requires structuring customer research by applying an extraction framework to identify outcomes and language. This process delivers VOC quote banks and messaging insights with confidence scoring and source provenance.

Does customer research analysis work without prior product context?▼

Customer research analysis can start without prior product context by checking for existing assets first. It then runs extraction modes to pull jobs, pains, and outcomes from available transcripts, surveys, or online sources.

How do I compare competitor alternatives using market research from online forums?▼

Market research compares competitors by finding online discussions on Reddit and forums to identify mentioned alternatives. It extracts customer language and outcomes to synthesize themes and money quotes across these sources.