skills.rest
skyymar69-rgb
skyymar69-rgbCOMMUNITY
Explore all skills by this author →
GitHub

customer-research

Extract customer insights from interviews, surveys, tickets, churn, NPS, and community sources.

1|Updated Mar 11, 2026
Search Tags:#customer research#voice of customer#jobs to be done#persona building#VOC quote bank#review mining#digital watering holes
One-click install
npx skills add https://github.com/skyymar69-rgb/Nexus-seo-websit --skill customer-research-skyymar69-rgb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/skyymar69-rgb/Nexus-seo-websit/tree/main/.claude/skills/customer-research
Command: npx skills add https://github.com/skyymar69-rgb/Nexus-seo-websit --skill customer-research-skyymar69-rgb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Customer research helps you replace assumptions about what buyers want with evidence from interviews, surveys, reviews, transcripts, and online communities—so positioning, product, and messaging match how customers actually think and speak.

Core Features & Use Cases

  • Extract customer signal from assets: Turn interview transcripts, surveys, support conversations, win/loss notes, churn reasons, and NPS verbatims into structured insights (jobs, pains, triggers, outcomes, and exact language).
  • Find research where customers talk: Gather VOC from “digital watering holes” like Reddit, G2/Capterra, Indie Hackers, Hacker News, LinkedIn, YouTube/TikTok comments, and other category-specific communities.
  • Synthesize into usable deliverables: Cluster themes, score frequency and emotional intensity, flag contradictions, produce money quotes, and optionally generate personas and JTBD maps.

Quick Start

Use the customer-research skill to analyze your existing interview transcripts and output a theme-ranked synthesis with jobs-to-be-done, pain points, trigger events, desired outcomes, and the highest-signal verbatim quotes.

Frequently Asked Questions about customer-research

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

FAQPage Schema
How do I extract customer research insights from interview transcripts and survey responses?▼

Customer research insights are extracted by applying source-aware frameworks to interview transcripts, surveys, and NPS verbatims to identify jobs, pains, and desired outcomes. The process clusters themes using frequency and emotional intensity scoring to ground product decisions.

What is a digital watering hole and how does it help voice of customer research?▼

A digital watering hole is an online community like Reddit, G2, or Indie Hackers where customers discuss products naturally. Voice of customer research uses these platforms to gather unsolicited feedback, replacing assumptions with how buyers actually speak.

How do I build personas and jobs to be done maps from existing support tickets and churn data?▼

Personas and jobs to be done maps are built by synthesizing structured insights from support tickets, churn reasons, and win/loss notes. The extraction process identifies trigger events and desired outcomes, applying confidence labeling and recency weighting to generate deliverables.

Can I use customer review mining for both B2B and B2C product positioning?▼

Customer review mining applies to both B2B and B2C scenarios by extracting exact language and emotional intensity from category-specific communities. Source-aware frameworks adapt to different review formats to produce money quotes that align messaging with buyer thinking.

What is the best way to organize a VOC quote bank from NPS verbatims and community feedback?▼

The best way to organize a VOC quote bank is clustering themes from NPS verbatims and community feedback, then scoring frequency and emotional intensity. This flags contradictions and highlights the highest-signal verbatim quotes for messaging decisions.

Related Skills

Explore More Marketing & Sales Skills→
shawnpangshawnpang
285

user-research-synthesis

Synthesize qualitative research data into structured insights with follow-up actions.

Community
Advanced
nuggetswisenuggetswise

synthesize-customer-voice

Aggregate raw VOC data from interviews, tickets, and surveys into themes with citations.

Community
Advanced
gyalamanch001agyalamanch001a

customer-research

Analyze customer feedback to extract pains, jobs, triggers, and outcomes.

Community
Advanced
athina-aiathina-ai
1.1k

voice-of-customer-synthesizer

Aggregate customer feedback from support tickets, NPS comments, Slack, and reviews into a synthesized report.

Official
Advanced