jtbd

Identify Jobs to be Done and simulate customer interviews for each segment.

Updated Feb 2, 2026
One-click install
npx skills add https://github.com/inem/claude-gtm --skill jtbd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jtbd
Source: https://github.com/inem/claude-gtm/tree/main/skills/jtbd
Command: npx skills add https://github.com/inem/claude-gtm --skill jtbd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams identify Jobs to be Done for each target segment and run simulated customer interviews to uncover pains and insights.

Core Features & Use Cases

  • For each segment, formulates JTBD statements in the "When I ..., I want to ..., So I can ..." format.
  • Simulates end-to-end customer interviews with both interviewer and persona roles to surface real-world pain points, context, and buying triggers.
  • Produces structured outputs (context.yaml, interview summaries) to feed downstream discovery and product decisions.

Quick Start

Запустите JTBD анализ и эмуляцию интервью для каждого сегмента, затем сохраните вывод в context.yaml.

Frequently Asked Questions about jtbd

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

FAQPage Schema
How do I identify Jobs to be Done for different customer segments?

To identify Jobs to be Done for different customer segments, you formulate JTBD statements in the "When I..., I want to..., So I can..." format for each target segment to clarify user needs and desired outcomes.

Can I run simulated customer interviews to uncover user pain points and buying triggers?

Yes, you can run simulated customer interviews that emulate both interviewer and persona roles to surface real-world context, pain points, and buying triggers for each segment without needing real respondents.

What is the best way to document JTBD insights for downstream product discovery?

The best way to document JTBD insights for downstream product discovery is to produce structured outputs like context.yaml files and interview summaries that capture segment pains and triggers for product decisions.

How does segment analysis work when formulating JTBD statements?

Segment analysis for JTBD statements works by evaluating each target segment individually, simulating end-to-end customer interviews to surface specific context and insights, and documenting unique jobs for each segment.

Do I need real customer data to generate context.yaml files for JTBD analysis?

No, you do not need real customer data to generate context.yaml files for JTBD analysis because the Skill simulates complete customer interviews with personas to produce structured outputs independently.

When should I use simulated customer interviews instead of conducting real ones?

You should use simulated customer interviews when you need to rapidly surface segment pains, triggers, and insights to feed downstream product discovery before investing resources in real customer interviews.