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customer-research

Extract customer insights from interviews, transcripts, reviews, and online sources.

Updated Apr 18, 2026
Search Tags:#interviews#persona#transcripts#reviews#customer-research#voc#digital-watering-holes
One-click install
npx skills add https://github.com/sachio222/based-stack --skill customer-research-sachio222
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/sachio222/based-stack/tree/main/customer-research
Command: npx skills add https://github.com/sachio222/based-stack --skill customer-research-sachio222

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams uncover what customers actually think, feel, say, and struggle with by analyzing interviews, transcripts, reviews, and online conversations to ground messaging, product decisions, and copy in real customer reality.

Core Features & Use Cases

  • Mode 1: Analyze existing assets (transcripts, surveys, tickets) to extract signal such as pains, triggers, desired outcomes, and language.
  • Mode 2: Go find research online from digital watering holes (Reddit, G2, forums, reviews) to uncover VOC and JTBD signals.
  • Extraction Framework: Jobs to Be Done, Pain Points, Trigger Events, Desired Outcomes, Language, and Alternatives; cluster themes; rate frequency and intensity; surface money quotes.
  • Deliverables: research synthesis, VOC quote bank, persona documents, jobs-to-be-done maps, competitive intelligence snippets, and research gap analysis.
  • Confidence and recency guardrails: label insights with confidence, with recent sources weighted more heavily.

Quick Start

Plan a bootstrap research approach by conducting 5–10 customer interviews and a digital watering hole scan to extract jobs-to-be-done, pains, outcomes, and verbatim language for synthesis.

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, the Skill analyzes existing research assets to identify trigger events, desired outcomes, and verbatim language, clustering themes by frequency and intensity to surface actionable insights.

What is the best way to gather VOC and customer insights from online reviews and forums?▼

The best way to gather VOC from online reviews is scanning digital watering holes like Reddit and G2. The Skill uncovers jobs-to-be-done signals, extracts money quotes, and weights recent sources more heavily to ensure recency and confidence.

Can I analyze customer support tickets to find desired outcomes and trigger events?▼

Yes, you can analyze customer support tickets to find desired outcomes and trigger events. The Skill processes surveys and tickets to extract signal, rate frequency and intensity, and output a research synthesis with confidence labeling.

How do I create a persona document from customer research and verbatim language?▼

You create a persona document from customer research by processing transcripts and online conversations. The Skill extracts jobs-to-be-done, pains, and language, clustering themes to deliver persona documents and VOC quote banks.

Does this approach work for competitive intelligence and research gap analysis?▼

Yes, this approach works for competitive intelligence and research gap analysis. The Skill extracts alternatives mentioned by customers, clusters themes by intensity, and outputs competitive intelligence snippets alongside a structured research gap analysis.

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