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customer-research

Extract and synthesize customer insights from qualitative and quantitative research assets.

Updated Apr 6, 2026
Search Tags:#jtbd#persona-generation#customer-research#voice-of-customer#transcript-analysis#survey-analysis#review-mining
One-click install
npx skills add https://github.com/mohamednegm0/Musahm-Vault-GTM --skill customer-research-mohamednegm0
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/mohamednegm0/Musahm-Vault-GTM/tree/main/.claude/skills/marketingskills/skills/customer-research
Command: npx skills add https://github.com/mohamednegm0/Musahm-Vault-GTM --skill customer-research-mohamednegm0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams uncover what customers actually think, feel, and say by analyzing interviews, surveys, support tickets, reviews, and community discussions so product, marketing, and growth decisions are grounded in real customer evidence rather than assumption.

Core Features & Use Cases

  • Extraction Framework: Jobs-to-be-done, pain points, trigger events, desired outcomes, exact language, and alternatives considered.
  • Modes: Analyze existing assets (transcripts, surveys, tickets) or gather research from digital watering holes (Reddit, G2, LinkedIn, YouTube).
  • Synthesis & Deliverables: Clustered themes, frequency × intensity scoring, VOC quote bank, persona drafts (minimum sample thresholds), research gap analysis, and handoffs to copywriting or CRO workflows.
  • Quality Guardrails: Confidence labeling (high/medium/low), recency weighting (12-month window), and sample-bias checks.

Quick Start

Analyze the provided interview transcripts and review data to produce a synthesis report with top themes, representative verbatim quotes, confidence labels, and recommended deliverables.

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, the Skill analyzes qualitative research assets to identify trigger events, desired outcomes, and exact customer language. It processes transcripts to synthesize customer insights into clustered themes and a VOC quote bank.

What is the best way to analyze G2 and Capterra reviews for product messaging themes?▼

Analyzing G2 and Capterra reviews for product messaging involves review mining to identify customer pains, triggers, and exact language. The Skill applies frequency and intensity scoring to synthesize these reviews into actionable themes and representative verbatim quotes.

Can I generate user personas from support tickets and survey responses?▼

Yes, you can generate user personas from support tickets and survey responses. The Skill synthesizes qualitative and quantitative research data to produce persona drafts once minimum sample thresholds are met, applying recency-aware weighting and confidence labels to the output.

How do I synthesize voice of customer data from community posts and surveys?▼

To synthesize voice of customer data from community posts and surveys, the Skill clusters feedback into themes and builds a VOC quote bank. It evaluates qualitative inputs to extract desired outcomes and exact language, applying confidence labels to validate the synthesis quality.

Does this customer research tool check for sample bias in qualitative feedback?▼

Yes, this customer research tool checks for sample bias in qualitative feedback through built-in quality guardrails. It applies recency weighting within a 12-month window and assigns high, medium, or low confidence labels to ensure insights are grounded in reliable customer evidence.

What outputs should I expect when mining customer reviews for trigger events and desired outcomes?▼

When mining customer reviews for trigger events and desired outcomes, outputs include clustered themes, frequency and intensity scoring, a VOC quote bank, persona drafts, and research gap analysis. It also provides confidence labels and recommended handoffs for messaging decisions.

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