market-scenario-modeler

gtmagents's avatarfrom gtmagents

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

⭐31stars🔀7forks📁View on GitHub🕐Updated Dec 23, 2025
[Market Research]

When & Why to Use This Skill

The Market Scenario Modeler is a professional-grade toolkit designed to bridge the gap between raw market research and strategic financial planning. It empowers users to build robust TAM/SAM/SOM models, perform complex sensitivity analyses, and generate executive-ready visualizations. By automating the creation of scenario matrices and risk assessments, this skill helps businesses quantify opportunities, stress-test assumptions, and communicate data-driven narratives to stakeholders effectively.

Use Cases

  • Market Sizing & Opportunity Mapping: Calculating Total Addressable Market (TAM), Serviceable Addressable Market (SAM), and Serviceable Obtainable Market (SOM) to validate new market entries or product launches.
  • Strategic Financial Forecasting: Developing multi-layered scenario matrices (base, upside, and downside cases) to predict revenue outcomes based on varying adoption rates and macro drivers.
  • Risk & Sensitivity Analysis: Utilizing tornado charts and Monte Carlo simulations to identify which variables—such as pricing, win rates, or churn—have the most significant impact on business goals.
  • Executive & Investor Pitching: Transforming complex data into narrative-ready visuals, including waterfall and heat maps, to secure buy-in from finance, product, and executive leadership.
namemarket-scenario-modeler
descriptionToolkit for building TAM/SAM/SOM models, sensitivity analyses, and narrative-ready

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.