ajtbd-research

Orchestrate end-to-end Advanced Jobs To Be Done product research workflows.

70|18|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/snowtema/ajtbd-skills --skill ajtbd-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ajtbd-research
Source: https://github.com/snowtema/ajtbd-skills/tree/main/ajtbd-research
Command: npx skills add https://github.com/snowtema/ajtbd-skills --skill ajtbd-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Running a full Advanced Jobs To Be Done product research requires manually executing and coordinating 5+ separate analysis steps (market segmentation, job graph building, RAT analysis, landing page creation, recruit planning), which is time-consuming, disjointed and risks missing critical dependencies between stages.

Core Features & Use Cases

  • End-to-End Pipeline Orchestration: Automatically runs all AJTBD research stages in the correct dependency order, coordinating sub-skills for segmentation, job mapping, risk analysis, landing page and recruit planning without manual switching between tools.
  • Dual Market Support: Handles both B2B and B2C product research, with automatic market type detection from user input or explicit prompting if the market type is unclear.
  • Built-in Workflow Guardrails: Includes mandatory user checkpoints for segment selection after segmentation and workflow confirmation after job graph generation, plus automatic checks for existing research artifacts to prevent accidental overwrites of previous work.
  • Use Case: A founder building a new B2B CRM for small businesses can run the entire research cycle, get 5 validated market segments with TAM/SAM/SOM estimates, a detailed job graph for their target segment, top 5 risk assumptions, AJTBD-aligned landing page copy and a full respondent recruit plan for customer interviews in a single session.

Quick Start

Ask Claude to run a full AJTBD product research for your B2B small business CRM tool, including market segmentation, job graph, risk analysis, landing page and interview recruit plan.

Frequently Asked Questions about ajtbd-research

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

FAQPage Schema
How do I run a full Jobs To Be Done product research workflow without juggling multiple tools?

Jobs To Be Done product research can be run end-to-end by orchestrating segmentation, job graph generation, RAT analysis, landing page copy creation, and recruit planning sequentially. This eliminates manual coordination between separate analysis stages and their dependencies.

Can I use AJTBD research for both B2B and B2C digital products?

AJTBD research supports both B2B and B2C digital product validation. The workflow automatically detects the market type from your input, or explicitly prompts you to clarify if the market type is unclear, ensuring accurate segment identification for either context.

What steps are involved in an end-to-end AJTBD product research workflow?

AJTBD product research involves sequential execution of market segmentation, job graph generation, RAT analysis, landing page copy creation, and recruit plan generation. Mandatory user checkpoints occur after segmentation for segment selection and after job graph generation for workflow confirmation.

Does the AJTBD workflow overwrite existing research artifacts from previous sessions?

AJTBD workflows include built-in guardrails with automatic checks for existing research artifacts. This prevents accidental overwrites of previous work, ensuring your prior market validation data and analysis outputs remain intact during new research sessions.

What outputs do I get from a complete AJTBD product research cycle?

AJTBD research outputs include validated market segments with TAM/SAM/SOM estimates, a detailed job graph for the target segment, top risk assumptions, AJTBD-aligned landing page copy, and a full respondent recruit plan for customer interviews, all generated in a single session.

When do I need to manually intervene during automated product research?

Automated product research requires manual intervention at two mandatory user checkpoints: selecting a target segment after market segmentation, and confirming the workflow direction after job graph generation. These guardrails ensure the research stays aligned with your strategic intent.