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jtbd-building

Generate Jobs-to-be-Done frameworks and forces diagrams from customer research inputs.

1|Updated May 28, 2026
Search Tags:#personas#product discovery#customer research#problem validation#jtbd#switching behavior
One-click install
npx skills add https://github.com/ljucask/pureinn-product-development --skill jtbd-building-ljucask
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jtbd-building
Source: https://github.com/ljucask/pureinn-product-development/tree/main/skills/jtbd-building
Command: npx skills add https://github.com/ljucask/pureinn-product-development --skill jtbd-building-ljucask

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps product teams understand the deeper motivations behind customer decisions by moving beyond surface-level pain points to uncover the jobs, forces, and triggers that drive switching behavior.

Core Features & Use Cases

  • JTBD Analysis Generation: Creates job stories, functional/emotional/social job dimensions, and a structured Jobs-to-be-Done analysis based on customer research or guided discovery.
  • Switching Forces Mapping: Identifies push, pull, anxiety, and habit forces that explain why customers leave current solutions and what motivates adoption.
  • Product Discovery Support: Produces insights that inform problem validation, design thinking, PRDs, messaging, and MVP prioritization.
  • Use Case: A product manager launching a SaaS tool can use this Skill to analyze interview notes, identify customer switching triggers, and define the outcomes the product must deliver.

Quick Start

Ask the jtbd-building skill to create a JTBD analysis for my product using my personas and customer research notes.

Frequently Asked Questions about jtbd-building

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

FAQPage Schema
How do I analyze customer switching behavior using the Jobs-to-be-Done framework?▼

To analyze customer switching behavior, this Skill generates a Jobs-to-be-Done framework and forces diagrams from your persona inputs and interview evidence to reveal push, pull, anxiety, and habit forces driving adoption.

What is the best way to validate product problems from customer interview notes?▼

Validating product problems involves synthesizing customer research notes to uncover the functional, emotional, and social jobs customers need done, producing actionable insights for your product discovery process.

How do I map push, pull, anxiety, and habit forces for product discovery?▼

Mapping switching forces requires structured interview evidence and persona inputs to identify push, pull, anxiety, and habit forces, explaining why customers leave current solutions and what motivates them to switch.

Can I use this Jobs-to-be-Done analysis for feature planning and MVP prioritization?▼

Yes, you can use the generated JTBD analysis for feature planning and MVP prioritization by defining the specific outcomes your product must deliver based on the identified customer switching triggers and job dimensions.

What inputs do I need to generate a JTBD framework and switching forces diagram?▼

Generating a JTBD framework and switching forces diagram requires structured persona inputs and customer research or interview evidence to accurately validate the underlying motivations and forces.

When should I use JTBD analysis instead of standard persona analysis?▼

Use JTBD analysis when you need to move beyond surface-level pain points in standard persona analysis to understand the deeper jobs, forces, and triggers that actually drive customer switching behavior.

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