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AureliusIvan
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customer-research

Analyze qualitative customer data and community discussions to extract product and marketing insights.

2|Updated Jun 28, 2026
Search Tags:#research#analysis#insights#persona#customer#jtbd#voc
One-click install
npx skills add https://github.com/AureliusIvan/ai-geo-by-ivan --skill customer-research-aureliusivan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/AureliusIvan/ai-geo-by-ivan/tree/main/skills/customer-research
Command: npx skills add https://github.com/AureliusIvan/ai-geo-by-ivan --skill customer-research-aureliusivan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the problem of disconnected or unanalyzed customer feedback, helping you move from assumptions to evidence-based product and marketing decisions.

Core Features & Use Cases

  • Asset Analysis: Extract signal from transcripts, support tickets, and survey results to identify pain points and jobs-to-be-done.
  • Digital Watering Hole Mining: Gather authentic, unmoderated language from Reddit, G2, and niche communities to understand your ICP.
  • Persona & Messaging Synthesis: Build data-backed personas and VOC quote banks that ground your copy and strategy in reality.

Quick Start

Use the customer-research skill to analyze the attached customer interview transcripts and identify the top three pain points and recurring themes.

Frequently Asked Questions about customer-research

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

FAQPage Schema
How do I extract actionable insights from customer interview transcripts?▼

To extract actionable insights from customer interview transcripts, the skill applies structured extraction frameworks to identify recurring themes, top pain points, and jobs-to-be-done. This process turns qualitative feedback into evidence-based product decisions.

What is the best way to analyze voice-of-customer data from support tickets?▼

Analyzing voice-of-customer data from support tickets involves processing qualitative inputs to build data-backed personas and VOC quote banks. The skill identifies pain points and synthesizes authentic language to ground marketing copy in reality.

Can I use this to mine customer discussions from Reddit and G2?▼

Yes, you can mine customer discussions from Reddit, G2, and niche communities. This digital watering hole mining gathers authentic, unmoderated language to understand your ideal customer profile and extract unfiltered product feedback.

How do I reduce sample bias when analyzing qualitative customer data?▼

To reduce sample bias when analyzing qualitative customer data, the skill applies confidence-based validation and structured extraction frameworks. This ensures research quality by validating signals and minimizing skewed interpretations from feedback.

How do I build data-backed personas from raw survey results?▼

Building data-backed personas from raw survey results requires synthesizing qualitative responses to identify recurring jobs-to-be-done and pain points. The skill transforms unstructured survey inputs into grounded personas and messaging strategies.

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