customer-research

Extract Jobs to Be Done, pains, triggers, and outcomes from customer data.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/ittyabrehman/sample-repo --skill customer-research-ittyabrehman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/ittyabrehman/sample-repo/tree/main/skills/customer-research
Command: npx skills add https://github.com/ittyabrehman/sample-repo --skill customer-research-ittyabrehman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

You need to uncover what customers actually think, feel, say, and struggle with so product, messaging, and features are grounded in reality rather than assumption.

Core Features & Use Cases

  • Extract: Jobs to Be Done (functional, emotional, social), pains, triggers, desired outcomes, language, and alternatives from assets (transcripts, surveys, tickets, reviews).
  • Mode 1 & Mode 2: Analyze existing assets or perform online digital watering-hole research to gather new insights.
  • Synthesis & Deliverables: cluster themes by frequency and intensity; identify money quotes; build VOC quote bank; generate persona and messaging inputs; plan the next actions (copy, pages, experiments).
  • Guardrails: apply a research quality framework, label confidence levels, and avoid over-generalization.

Quick Start

Provide transcripts, surveys, tickets, or reviews and state your goal (messaging, personas, or product gaps); I will check for product-marketing-context, apply the extraction framework, and deliver themes with quotes and a recommended deliverable plan.

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 from customer interview transcripts?

To extract Jobs to Be Done from customer interview transcripts, provide the transcripts and state your goal. The analysis identifies functional, emotional, and social jobs alongside pains, triggers, and desired outcomes to ground your product strategy in reality.

What is the best way to analyze VOC data from customer surveys and support tickets?

Analyzing VOC data from surveys and support tickets involves clustering themes by frequency and intensity, capturing representative money quotes, and generating a VOC quote bank to guide messaging, personas, and product gap identification.

How do I turn customer review data into actionable messaging inputs?

Turning customer review data into messaging inputs requires extracting specific customer language and alternatives, scoring signal intensity, and synthesizing these themes into a deliverable plan for copy, pages, and experiments.

Can I use customer research analysis for digital watering-hole research instead of existing assets?

You can perform digital watering-hole research to gather new insights instead of analyzing existing assets. This mode surfaces themes, quotes, and signals from online sources to identify desired outcomes and customer pains.

Does customer research analysis require a product-marketing-context file to work?

Customer research analysis does not require a product-marketing-context file but will check for one when available. Applying this context helps tailor the extraction framework and propose more accurate deliverables like personas and messaging inputs.

How do I avoid over-generalization when synthesizing customer feedback themes?

To avoid over-generalization when synthesizing customer feedback themes, the analysis applies a research quality framework and labels confidence levels, ensuring extracted pains and desired outcomes remain grounded in representative quotes.