customer-research

Extract and synthesize customer research from transcripts, surveys, and online sources.

Updated Aug 18, 2025
One-click install
npx skills add https://github.com/Chrisnewgear/monkey-city-studios --skill customer-research-chrisnewgear
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/Chrisnewgear/monkey-city-studios/tree/main/.agents/skills/customer-research
Command: npx skills add https://github.com/Chrisnewgear/monkey-city-studios --skill customer-research-chrisnewgear

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify what customers truly think and feel, ensuring product development, copywriting, and positioning are anchored in real customer data rather than assumptions.

Core Features & Use Cases

  • Analyze Existing Research: Extract actionable insights from transcripts, surveys, support tickets, and reviews.
  • Digital Watering Hole Research: Gather raw customer feedback from platforms like Reddit, G2, and YouTube.
  • Persona Development: Build detailed customer personas based on research.
  • Research Synthesis: Synthesize research findings into actionable reports and personas.

Quick Start

Generate a customer persona for a marketing manager in the tech industry by using the customer-research skill.

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 insights from support tickets and survey transcripts?

Customer research synthesis processes raw support tickets and survey transcripts to extract actionable insights, identifying core needs, pain points, and desired outcomes for product development and copywriting.

What is the best way to gather customer feedback from Reddit and YouTube?

Digital watering hole research gathers raw customer feedback from platforms like Reddit and YouTube, synthesizing the data to anchor product positioning in real customer sentiments rather than assumptions.

Can I build detailed customer personas using existing product reviews?

Yes, persona development synthesizes existing product reviews and research assets to build detailed customer profiles, transforming varied data types into actionable reports for competitive analysis and messaging.

Does this customer research analysis require pandas and numpy to process data?

Yes, this advanced customer research analysis requires pandas and numpy dependencies to process varied data types, validate online sources, and synthesize research findings into actionable reports.

When should I validate online sources for customer research synthesis?

Source validation is required during customer research synthesis whenever gathering new data from digital platforms, ensuring the extracted insights and desired outcomes remain anchored in reliable information.