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customer-research

Analyze customer interviews and surveys to extract jobs-to-be-done and themes.

Updated Apr 14, 2026
Search Tags:#themes#persona#jobs-to-be-done#quotes#customer-research#voc
One-click install
npx skills add https://github.com/gerald-ica/opencode-config-snapshot --skill customer-research-gerald-ica
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/gerald-ica/opencode-config-snapshot/tree/main/opencode/skills/customer-research
Command: npx skills add https://github.com/gerald-ica/opencode-config-snapshot --skill customer-research-gerald-ica

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

We provide a structured approach to uncover what customers actually think, feel, say, and struggle with so that product, messaging, and experiences are grounded in real-world signals rather than assumptions.

Core Features & Use Cases

  • Mode 1: Analyze Existing Assets to extract jobs to be done, pains, triggers, desired outcomes, and authentic language from transcripts, surveys, tickets, reviews, and documents.
  • Mode 2: Digital Watering Hole Research to gather online signals from Reddit, G2, forums, and communities, translating them into actionable themes and quotes.
  • Extraction & Synthesis: Apply the extraction framework, cluster themes, assign frequency and intensity, and surface money quotes for personas, messaging, and product decisions.
  • Deliverables & Guardrails: VOC quote banks, research summaries, personas, and competitive insights with confidence labeling and recency weighting to guide decisions.

Quick Start

Define your research goal, choose Mode 1 or Mode 2, run the extraction framework, and generate a synthesis or VOC deliverable.

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 pains from interview transcripts?▼

Customer research synthesis applies an extraction framework to raw transcripts, clustering themes by frequency and intensity to surface jobs-to-be-done, pains, and authentic VOC language for product decisions.

Can I analyze customer reviews and support tickets to generate personas and VOC quote banks?▼

Yes, you can analyze existing assets like customer reviews and support tickets using Mode 1 extraction to generate VOC quote banks, personas, and messaging guidance with confidence labeling and recency weighting.

What is the best way to gather customer intelligence from Reddit and online forums?▼

Gathering customer intelligence from Reddit and online forums uses Digital Watering Hole research to collect online signals, translating community discussions into actionable themes and money quotes.

How do I cluster customer survey responses into actionable themes and desired outcomes?▼

Clustering customer survey responses into themes applies an extraction framework that groups desired outcomes and pains, assigns confidence labels, and applies recency weighting to guide product and messaging decisions.

Does this customer research approach work without existing transcripts or survey data?▼

Yes, if you lack existing transcripts or survey data, Mode 2 Digital Watering Hole research gathers raw customer signals directly from online communities and forums to synthesize themes and VOC language.

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