customer-research

Extract jobs to be done, pains, triggers, and outcomes from customer research assets.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/SlevoDev/s-tag --skill customer-research-slevodev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/SlevoDev/s-tag/tree/main/.claude/skills/customer-research
Command: npx skills add https://github.com/SlevoDev/s-tag --skill customer-research-slevodev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you systematically uncover what customers actually think, say, and struggle with so that product, marketing, and copy are grounded in reality rather than assumption.

Core Features & Use Cases

  • Mode 1: Analyze existing assets (transcripts, surveys, tickets) to extract Jobs to Be Done, pains, triggers, and outcomes, and to identify language and alternatives.
  • Mode 2: Go find research online (Reddit, G2/Capterra, forums, reviews) to supplement or bootstrap insights and capture verbatim language.
  • Extraction & Synthesis: For each asset, extract Jobs to Be Done, Pain Points, Trigger Events, Desired Outcomes, Language/Vocabulary, and Alternatives, then cluster themes and score them by frequency and intensity.
  • Deliverables: Produce a research synthesis, VOC quote bank, personas, and JTBD maps, with confidence labels and data-quality notes.

Quick Start

Provide a clear research goal, select Mode 1 or Mode 2, gather the relevant assets or online sources, run the extraction framework, and deliver the outputs.

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, apply an extraction framework that identifies JTBD, pains, triggers, desired outcomes, language, and alternatives. The process clusters themes by frequency and intensity to deliver persona documents and JTBD maps.

Can I analyze Reddit and G2 reviews to capture customer pain points and verbatim language?

Yes, you can analyze online sources like Reddit, G2, and forums to capture customer pain points and verbatim language. This mode supplements existing research by bootstrapping insights and extracting vocabulary to build a VOC quote bank.

What is a VOC quote bank and how does it synthesize customer survey data?

A VOC quote bank is a deliverable that synthesizes verbatim language from customer surveys and transcripts. It clusters customer research themes by frequency and intensity to ground product decisions in authentic voices, complete with confidence levels and data-quality notes.

Does customer research synthesis work without existing transcripts or survey data?

Customer research synthesis works without existing transcripts or survey data by using online sources like Reddit, G2, and Capterra. This mode bootstraps insights and captures verbatim language directly from forums and reviews to identify jobs to be done and pain points.

How do I cluster customer research themes by frequency and intensity from support tickets?

To cluster customer research themes by frequency and intensity from support tickets, apply an extraction framework to capture pain points, triggers, and desired outcomes. This synthesizes the data into JTBD maps and persona documents with confidence levels and data-quality notes.