How does it help with executive decision-making?

It generates 'Decision Hooks' and clear visualizations that highlight specific trigger points and investment guardrails, making data-driven decisions easier for stakeholders.

What is a TAM/SAM/SOM model?

It stands for Total Addressable Market, Serviceable Addressable Market, and Serviceable Obtainable Market, which are metrics used to estimate market size and revenue potential.

Can this skill perform Monte Carlo simulations?

Yes, it provides frameworks and code snippets for running Monte Carlo simulations and sensitivity analyses to evaluate risk and probability in your market models.

Who is the Market Scenario Modeler for?

It is designed for GTM agents, product managers, and revenue operations specialists who need to bridge the gap between market research and financial planning.

Does it integrate with other GTM skills?

Yes, it is specifically designed to pair with the market-landscape-study skill to provide a turnkey asset for end-to-end market analysis.

Market Scenario Modeler

Name: Market Scenario Modeler
Author: gtmagents

bygtmagents

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Data Science & ML

Builds sophisticated TAM/SAM/SOM models and financial scenarios to forecast market potential and stress-test revenue assumptions.

About

The Market Scenario Modeler skill empowers Go-To-Market teams and developers to transform raw research into actionable financial projections directly within Claude Code. It provides a structured framework for documenting assumptions, creating multi-case scenario matrices (Base, Upside, Downside), and performing advanced sensitivity analyses like Monte Carlo simulations. By integrating data modeling with narrative-ready visualizations, it helps stakeholders evaluate investment risks, identify critical revenue trigger points, and package insights for finance and executive leadership.

Key Features

Sensitivity analysis tools including tornado charts and Monte Carlo snippets
Decision hook identification for investment guardrails and triggers
Comprehensive TAM/SAM/SOM modeling framework
Multi-case scenario matrix for base, upside, and downside projections
Visualization layer for waterfall, area, and heat map generation
29 GitHub stars

Use Cases

Translating qualitative market research into quantitative financial models for GTM teams
Developing market sizing and share-shift models for executive strategic planning
Stress-testing revenue and adoption assumptions during annual planning cycles

About

Key Features

Sensitivity analysis tools including tornado charts and Monte Carlo snippets
Decision hook identification for investment guardrails and triggers
Comprehensive TAM/SAM/SOM modeling framework
Multi-case scenario matrix for base, upside, and downside projections
Visualization layer for waterfall, area, and heat map generation
29 GitHub stars

Use Cases

Translating qualitative market research into quantitative financial models for GTM teams
Developing market sizing and share-shift models for executive strategic planning
Stress-testing revenue and adoption assumptions during annual planning cycles