market-scenario-modeler

Builds TAM/SAM/SOM models, sensitivity analyses, and scenario visualizations from research findings.

1|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/AlexYedi/Empire_State_Events_Pipeline_Take_3 --skill market-scenario-modeler-alexyedi
Or copy as Structured Prompt for Agent
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Skill: market-scenario-modeler
Source: https://github.com/AlexYedi/Empire_State_Events_Pipeline_Take_3/tree/main/.claude/skills/research-methodology/market-scenario-modeler
Command: npx skills add https://github.com/AlexYedi/Empire_State_Events_Pipeline_Take_3 --skill market-scenario-modeler-alexyedi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Translating market research into defensible financial models is slow and error-prone, and assumptions often lack auditability when presented to finance and executive stakeholders. ## Core Features & Use Cases - Assumption Library: Documents data sources, CAGR, penetration, pricing, and channel mix with auditable source links and timestamps. - Scenario Matrix & Sensitivity Analysis: Builds base, upside, and downside cases with tornado charts, Monte Carlo snippets, and sliders for key variables. - Visualization & Decision Hooks: Produces waterfall, area, and heat map visuals plus trigger points, investment requirements, and guardrails. - Use Case: A product strategist needs to stress-test revenue assumptions for a planning cycle and package TAM/SAM/SOM slides with a one-pager translating scenarios into actions and risks for executives. ## Quick Start Build a TAM/SAM/SOM model with base, upside, and downside scenarios from my market research findings, including sensitivity analysis and executive-ready visuals.

Frequently Asked Questions about market-scenario-modeler

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

FAQPage Schema
How do I build a TAM/SAM/SOM model from market research?

Start by documenting an assumption library with data sources, CAGR, penetration, pricing, and channel mix. Then construct a scenario matrix with base, upside, and downside cases driven by pricing, win rate, expansion, and macro factors.

How to run sensitivity analysis on market sizing assumptions?

Use tornado charts, Monte Carlo snippets, or variable sliders to test how key inputs affect outcomes. Identify which assumptions drive the largest swings so stakeholders can focus diligence on the highest-impact variables.

What visualizations work best for presenting market scenarios to executives?

Waterfall charts show share shifts and bridge analyses, area charts display market evolution over time, and heat maps tie numbers to narratives. Pair these with a one-pager translating scenarios into actions and risks.

How do I keep financial model assumptions auditable?

Attach source links and timestamps to every assumption in the library. Align with finance on currency, inflation, and exchange rate assumptions before publishing to avoid rework and credibility issues.

When should I not use scenario-based market modeling?

Avoid it when underlying data is too sparse to support credible assumptions or when decisions require precise point forecasts rather than ranges. In those cases, direct bottom-up pipeline analysis may be more appropriate.