impact-sizing

Assess feature impact with a structured 4-step sizing framework.

20|4|Updated Oct 4, 2025
One-click install
npx skills add https://github.com/coalesce-labs/catalyst --skill impact-sizing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: impact-sizing
Source: https://github.com/coalesce-labs/catalyst/tree/main/plugins/pm/skills/impact-sizing
Command: npx skills add https://github.com/coalesce-labs/catalyst --skill impact-sizing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quantify feature value quickly by applying a structured 4-step sizing framework to estimate usage, impact, and risk for informed product decisions.

Core Features & Use Cases

  • Stepwise sizing: Step 1 estimate usage, Step 2 compute impact, Step 3 validate assumptions, Step 4 define takeaways and actionable recommendations.
  • Cross-functional alignment: Links to PRD, strategy docs, and metrics data to build robust business cases and prioritization decisions.
  • Quick impact outputs: Provides an impact report with engagement, top-line, and bottom-line estimates, plus a confidence assessment and de-risking actions.

Quick Start

Provide the feature name and target users, and I will guide you through the 4-step sizing process.

Frequently Asked Questions about impact-sizing

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

FAQPage Schema
How do I estimate feature impact for product prioritization?

Feature impact estimation uses a structured 4-step sizing framework to calculate usage, validate assumptions, and output engagement, top-line, and bottom-line impact estimates with confidence levels and actionable de-risking recommendations.

What is the best way to size features for a product management business case?

Sizing features for a business case requires a structured framework that links PRDs and strategy docs to compute impact, assess confidence levels, and define actionable takeaways for prioritization decisions.

How do I validate assumptions when quantifying feature value?

You validate assumptions during feature sizing by following the framework's third step, which cross-references historical metrics data and strategy docs to build robust business cases and de-risk prioritization decisions.

Can I use PRDs and strategy docs to calculate feature impact estimates?

Yes, PRDs and strategy docs serve as inputs for the sizing framework to produce detailed engagement, top-line, and bottom-line impact reports with confidence assessments and de-risking actions.

Does feature sizing require access to historical data and contextual libraries?

Feature sizing requires access to historical data and contextual libraries to accurately estimate usage, validate underlying assumptions, and generate reliable confidence levels for product prioritization decisions.