JTBD Analysis Skill

Extract JTBD dimensions and outcomes from call transcripts into Notion and HubSpot.

Updated Mar 5, 2026

Search Tags:#crm #notion #transcript analysis #customer insights #jtbd #jobs to be done #uxinator

Ready to run

npx skills add https://github.com/jabberlockie/the-human-stack-plugins-public --skill jtbd-analysis-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: JTBD Analysis Skill
Source: https://github.com/jabberlockie/the-human-stack-plugins-public/tree/main/plugins/jobs-2b-done/skills/jtbd-analysis
Command: npx skills add https://github.com/jabberlockie/the-human-stack-plugins-public --skill jtbd-analysis-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This skill automates the process of conducting Jobs-to-be-Done (JTBD) analysis on call transcripts, extracting key insights and mapping customer expectations.

Core Features & Use Cases

Automated JTBD Framework Application: Applies a structured 9-dimension JTBD analysis to call transcripts.
Expectation Mapping: Integrates UXinator's expectation mapping for deeper customer understanding.
CRM & Notion Integration: Connects analysis findings to HubSpot and Notion databases for organized tracking.
Use Case: Analyze a customer sales call transcript to identify their core job-to-be-done, desired outcomes, and obstacles, then save this structured analysis to a Notion database and link relevant CRM records.

Quick Start

Run JTBD analysis on the provided call transcript, saving the output to the designated client folder and Notion database.

Frequently Asked Questions about JTBD Analysis Skill

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

FAQPage Schema

How do I extract Jobs-to-be-Done insights from call transcripts?▼

To extract Jobs-to-be-Done insights from call transcripts, you apply a structured 9-dimension JTBD framework to unstructured text, automating the identification of core jobs, obstacles, and desired outcomes.

Can I map customer expectations and save the results to Notion and a CRM?▼

Yes, you can map customer expectations via UXinator and save the structured JTBD analysis output to a Notion database while linking relevant CRM records for organized tracking and data persistence.

What is the best way to automate JTBD analysis for customer sales calls?▼

The best way to automate JTBD analysis for customer sales calls is using a structured framework that extracts key dimensions and messaging gold from transcripts, then persists findings via deterministic file naming to CRM and Notion.

Does the JTBD analysis framework integrate with HubSpot and Notion databases?▼

Yes, the JTBD analysis framework integrates with HubSpot CRM and Notion databases, automatically extracting key dimensions from unstructured call transcripts and populating these platforms to ensure data integrity.

What specific dimensions does the automated JTBD analysis extract from unstructured text?▼

The automated JTBD analysis extracts core jobs-to-be-done, obstacles, desired outcomes, messaging gold, and other key dimensions from unstructured text using a structured 9-dimension framework.

Do I need an existing CRM or Notion database setup to run a transcript analysis?▼

Yes, to run a transcript analysis and achieve full data persistence, you need a designated client folder and configured Notion database and CRM integration to receive and organize the extracted customer insights.