size-opportunity

Name: size-opportunity
Availability: InStock
Author: ai-analyst-lab

Quantify business value by sizing addressable market, adoption, and revenue impact.

21|11|Updated Mar 15, 2026

Search Tags:#prioritization #roi #opportunity #revenue #market-size #sizing

Ready to run

npx skills add https://github.com/ai-analyst-lab/ai-analyst-plugin --skill size-opportunity

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: size-opportunity
Source: https://github.com/ai-analyst-lab/ai-analyst-plugin/tree/main/skills/size-opportunity
Command: npx skills add https://github.com/ai-analyst-lab/ai-analyst-plugin --skill size-opportunity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Estimate the business value of opportunities by sizing addressable market, expected adoption, and potential revenue impact. This helps teams move beyond rough estimates to data-driven prioritization. It enables structured ROI narratives that support decision making across product, marketing, and ops.

Core Features & Use Cases

Size opportunities by applying addressable market, adoption, and revenue assumptions using the opportunity-sizer agent.
Generate a full sizing analysis with an executive summary, detailed breakdown, assumptions, sensitivities, and ROI metrics.
Support templates for Product Feature, Retention/Churn, Cost Efficiency, and Geographic expansion to fit various scenarios.

Quick Start

Describe the opportunity briefly and run /size-opportunity to generate a sizing analysis.

Frequently Asked Questions about size-opportunity

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

FAQPage Schema

How do I quantify the business value of a product feature opportunity?▼

Market sizing for opportunity prioritization calculates addressable market size, expected adoption rates, and potential revenue impact. It replaces rough estimates with data-driven ROI narratives to support investment decisions across product, marketing, and operations teams.

Can I estimate ROI for cost efficiency and retention improvements?▼

Running an opportunity sizing analysis requires briefly describing your target opportunity, such as a feature bet or geographic expansion. The system then applies market, adoption, and revenue assumptions to output a full sizing analysis with executive summary, detailed breakdown, and sensitivity scenarios.

Does this opportunity sizing approach support geographic expansion scenarios?▼

Yes, this opportunity sizing approach supports geographic expansion scenarios through dedicated templates. It estimates addressable market and adoption likelihood for new regions, producing revenue impact metrics and sensitivity scenarios to guide your market expansion investment decisions.

What is the best way to move beyond rough estimates for feature prioritization?▼

The best way to move beyond rough estimates for feature prioritization is applying structured opportunity sizing. By calculating addressable market, adoption likelihood, and revenue impact, teams generate data-driven ROI narratives that support objective investment decisions.

Can I generate sensitivity scenarios for my revenue impact assumptions?▼

Yes, you can generate sensitivity scenarios for your revenue impact assumptions. The sizing analysis includes sensitivity scenarios alongside an executive summary and detailed breakdown to test how changes in adoption and market size affect overall ROI metrics.