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customer-research

Analyze transcripts, surveys, and tickets to extract Jobs to Be Done and pain points.

Updated Apr 6, 2026
Search Tags:#personas#transcripts#jobs-to-be-done#market-research#customer-research#voc
One-click install
npx skills add https://github.com/sneha835/Sneha --skill customer-research-sneha835
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/sneha835/Sneha/tree/main/.claude/skills/customer-research
Command: npx skills add https://github.com/sneha835/Sneha --skill customer-research-sneha835

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

You want to uncover what customers actually think, feel, and struggle with so that product, messaging, and copy are grounded in reality rather than assumption.

Core Features & Use Cases

  • Extraction framework: capture Jobs to Be Done, pains, trigger events, desired outcomes, exact language, and alternatives considered.
  • Mode 1: Analyze existing assets: transcripts, surveys, support conversations, and notes to surface signal and patterns.
  • Mode 2: Go find research online: gather intelligence from Reddit, G2/Capterra reviews, forums, and niche communities to fill gaps and triangulate insights.
  • Synthesis & guardrails: cluster themes by frequency and intensity, surface “money quotes,” account confidence with recency and source diversity, and identify contradictions.
  • Deliverables & reuse: produce a VOC quote bank, top themes, and, if needed, starter personas or competitive intel to inform pages and copy.

Quick Start

Start by defining your goal, then choose Mode 1 (analyze existing assets) or Mode 2 (gather online insights), and run the extraction framework to surface JTBD, 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 and customer pain points from interview transcripts?▼

To extract Jobs to Be Done and pain points from interview transcripts, apply an extraction framework to analyze existing assets like surveys and support tickets. This captures trigger events, desired outcomes, exact language, and alternatives considered to surface actionable customer research patterns.

What is the best way to gather Voice of Customer insights from Reddit and review sites?▼

The best way to gather Voice of Customer insights from Reddit and review sites is to use an online intelligence gathering mode. This collects research from forums and niche communities like G2 or Capterra to fill data gaps and triangulate customer research findings.

Can I analyze support tickets and survey notes to find recurring customer problems?▼

Yes, you can analyze support tickets and survey notes to find recurring problems. By processing these existing assets, the system identifies core problems and clusters themes by frequency and intensity to deliver a concise synthesis with money quotes for product teams.

How do I cluster customer feedback themes by frequency and intensity for product teams?▼

You cluster customer feedback themes by frequency and intensity by running an extraction framework across transcripts and online insights. This synthesis process surfaces top themes, accounts for confidence with recency and source diversity, and identifies contradictions in the data.

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

Customer research works without existing transcripts by gathering online insights from Reddit, review sites, and forums. This mode fills gaps when you lack internal assets, allowing you to triangulate insights and generate a Voice of Customer quote bank from niche communities.

What deliverables should I expect from a Voice of Customer analysis?▼

Expected deliverables from a Voice of Customer analysis include a concise synthesis of top themes, a VOC quote bank with money quotes, and recommended next steps. If needed, it can also produce starter personas or competitive intel to inform pages and copy.

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