market-sizing

Size markets with auditable calculations and validated source inputs.

488|76|Updated Jun 2, 2026
One-click install
npx skills add https://github.com/openai/role-specific-plugins --skill market-sizing-openai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-sizing
Source: https://github.com/openai/role-specific-plugins/tree/main/plugins/data-analytics/skills/market-sizing
Command: npx skills add https://github.com/openai/role-specific-plugins --skill market-sizing-openai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Market-sizing tasks often struggle with unclear boundaries, inconsistent data sources, and opaque assumptions. This skill provides a structured approach to defining the market, selecting a sizing method, gathering diverse inputs, and producing auditable estimates with clear validation priorities.

Core Features & Use Cases

  • Define market boundaries and scope to frame TAM/SAM/SOM estimates.
  • Gather inputs from internal data, public benchmarks, and expert judgment, with explicit assumptions and sensitivity testing.
  • Produce auditable models and documentation suitable for leadership reviews, finance planning, and go/no-go decisions.

Quick Start

Define the market boundary, choose a sizing approach, and assemble source inputs to generate an initial defensible estimate.

Frequently Asked Questions about market-sizing

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

FAQPage Schema
How do I calculate TAM, SAM, and SOM with defensible market sizing?

You can build defensible market sizing by defining a market boundary, choosing a sizing approach, and assembling source inputs to generate an initial estimate. The process combines internal data, public benchmarks, and expert judgment with explicit assumptions and sensitivity testing.

What is the best way to validate market sizing assumptions and estimates?

Market sizing validation applies live source verification across internal data, dashboards, and external benchmarks to ensure estimate accuracy. It prioritizes validation steps and documents sensitivity analyses to maintain transparent calculations and traceable inputs.

How do I make my market sizing model auditable for finance planning?

Auditable market sizing models require traceable inputs, transparent calculations, and clear assumptions to support finance planning. Documenting sensitivity analyses and validation steps ensures the estimate remains defensible during leadership reviews and go/no-go decisions.

Can I use scenario analysis and sensitivity testing for market opportunity sizing?

Yes, scenario analysis and sensitivity testing are applied during market opportunity sizing to address inconsistent data sources and opaque assumptions. Testing explicit assumptions against diverse inputs yields auditable estimates with clear validation priorities.

What data sources do I need to gather for accurate market sizing?

Gathering inputs for accurate market sizing involves combining internal data, public benchmarks, and expert judgment. Applying a framed boundary and live source verification across these diverse sources produces a defensible estimate with clear assumptions.