# Market Scenario Modeler

> Toolkit for building TAM/SAM/SOM models, sensitivity analyses, and narrative-ready

Toolkit for building TAM/SAM/SOM models, sensitivity analyses, and narrative-ready

- Page: https://ss33.ai/skills/gtmagents/market-scenario-modeler-32645775747
- Publisher: gtmagents
- Category: [Finance & Markets](https://ss33.ai/skills/category/finance-and-markets-gri5ar) › [Business & freelance finances](https://ss33.ai/skills/category/finance-and-markets-gri5ar/business-and-freelance-finances-l8tv99)
- License: Apache-2.0
- Source: https://github.com/gtmagents/gtm-agents/blob/78e0419f4440bcb43bc80127e174ecf5adef1753/plugins/market-research/skills/market-scenario-modeler/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/gtmagents/market-scenario-modeler-32645775747

# Market Scenario Modeler Skill

## When to Use
- Translating research findings into financial models and strategic scenarios.
- Stress-testing revenue or adoption assumptions for planning cycles.
- Packaging insights for finance, product, and executive stakeholders.

## Framework
1. **Assumption Library** – document data sources, CAGR, penetration, pricing, channel mix.
2. **Scenario Matrix** – base, upside, downside cases with drivers (pricing, win rate, expansion, macro).
3. **Sensitivity Analysis** – tornado charts, Monte Carlo snippets, or sliders for key variables.
4. **Visualization Layer** – waterfall, area, and heat maps tying numbers to narratives.
5. **Decision Hooks** – highlight trigger points, required investments, and guardrails.

## Templates
- Spreadsheet/notebook skeleton with clearly named inputs/outputs.
- Slide templates for TAM/SAM/SOM, share shifts, and investment asks.
- One-pager summary translating scenarios into actions and risks.

## Tips
- Keep assumptions auditable with source links and timestamps.
- Align with finance on currency, inflation, and exchange assumptions before publishing.
- Pair with `run-market-landscape-study` for turnkey modeling assets.

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