ajtbd-rat

Generate a scored top 5 risky assumption list from AJTBD segment and job graph files.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates unstructured, unprioritized product risk assessment for teams using the Advanced Jobs To Be Done (AJTBD) methodology, removing guesswork about which product assumptions to validate first to avoid wasted development resources.

Core Features & Use Cases

  • Prioritized RAT Generation: Creates a scored Top-5 list of risky assumptions categorized by risk type (market, segment, value, unit economics, scaling, operational) with clear impact and probability ratings.
  • AJTBD-Aligned Hypotheses: Uses existing AJTBD research artifacts (segment definitions and job graphs) to ensure all risk hypotheses are grounded in actual user jobs and segment data, not generic assumptions.
  • Actionable Validation Methods: Includes 2-5 concrete, low-cost testing methods for each risk hypothesis, such as problem interviews, test landing pages, or prototype usability tests.
  • Use Case: A B2B SaaS team that has already mapped their target segment's jobs and core workflows can use this skill to quickly identify the 5 most critical assumptions to test before investing in full product development.

Quick Start

Ask the AI to generate a prioritized top 5 list of risky product hypotheses using your existing AJTBD segment and job graph research artifacts.

Frequently Asked Questions about ajtbd-rat

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

FAQPage Schema
How do I prioritize product risk hypotheses for validation using job-to-be-done research?

Product risk hypotheses are prioritized by scoring assumptions against existing AJTBD segment definitions and job graphs to output a categorized top 5 list with impact and probability ratings. This method ensures risk assessment is grounded in actual user job data rather than guesswork.

What is a RAT analysis and when do I need it for product development?

RAT analysis identifies the Riskiest Assumption Test to validate before scaling development resources. You need it after completing AJTBD segmentation and job graph mapping to pinpoint the highest-impact market, value, and unit economics risks requiring immediate testing.

How do I generate actionable validation methods for risky product assumptions?

Actionable validation methods are generated by evaluating each risk hypothesis against its specific category to propose 2-5 low-cost testing techniques, such as problem interviews, test landing pages, or prototype usability tests.

Do I need existing AJTBD artifacts to generate a prioritized product risk list?

Yes, you need existing .ajtbd/segments.md and .ajtbd/job-graph.md project artifacts. The RAT generation requires these completed segmentation and job graph mappings to ensure all risk hypotheses are properly grounded in actual user data.

Can I use RAT analysis for B2B SaaS products with mapped user workflows?

Yes, RAT analysis applies to B2B SaaS products that have already mapped target segment jobs and core workflows. It helps teams identify the most critical assumptions to test before investing in full product development.

What are the limitations of using AJTBD methodology for product risk assessment?

The limitation of AJTBD risk assessment is that it cannot generate accurate hypotheses without completed segmentation and job graph artifacts. Teams skipping the prerequisite AJTBD mapping phase cannot use this approach to identify risks for validation.