customer-research

Name: customer-research
Availability: InStock
Author: kunalrawat425

Extract customer needs, pains, triggers, and language from research assets and online sources.

Updated Apr 4, 2026

Search Tags:#messaging #transcripts #customer-research #persona-development #online-research #voc

Ready to run

npx skills add https://github.com/kunalrawat425/conductor-playground --skill customer-research-kunalrawat425

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/kunalrawat425/conductor-playground/tree/main/.agents/skills/customer-research
Command: npx skills add https://github.com/kunalrawat425/conductor-playground --skill customer-research-kunalrawat425

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Customer research informs every decision by revealing what customers actually think, feel, say, and struggle with, grounding positioning, product, and messaging in reality.

Core Features & Use Cases

Mode 1: Analyze Existing Assets to extract signal from transcripts, surveys, reviews, and tickets.
Mode 2: Go Find Research to gather insights from online sources (Reddit, G2, forums, communities).
Extraction Framework: Jobs to Be Done, pains, triggers, desired outcomes, language/vocabulary, and alternatives across assets.
Deliverables: VOC quote banks, personas, competitive intelligence summaries, and research-gap analyses.

Quick Start

Identify your goal, choose Mode 1 or Mode 2, then collect at least five data points (transcripts, surveys, tickets, or online sources) and run the extraction framework.

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 needs and pain points from interview transcripts?▼

Analyze existing assets like surveys, support tickets, and transcripts by applying an extraction framework across Jobs to Be Done, pain points, triggers, and desired outcomes. This synthesis produces top themes and money quotes for grounding positioning decisions.

Can I gather VOC research from online sources like Reddit and G2 reviews?▼

Gather VOC research from online communities like Reddit and G2 by collecting data points and running them through an extraction framework. This identifies customer language, alternatives, and trigger events directly from community discussions.

What is the best way to turn research assets into customer personas?▼

Turn research assets into customer personas by synthesizing extracted jobs, pains, and triggers into top themes with money quotes. These synthesized insights directly support deliverables like VOC quote banks and persona development.

How many data points do I need to run a customer research analysis?▼

Run customer research analysis by collecting a minimum of five data points from transcripts, surveys, tickets, or online sources. Identifying your goal and gathering these inputs ensures sufficient signal for the extraction framework.

Does customer research support downstream copywriting and page CRO?▼

Customer research supports downstream copywriting and page CRO by providing VOC quote banks and competitive intelligence summaries. Grounding messaging in real customer language ensures page conversion rate optimization aligns with actual pains and triggers.