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.