growth-experiment

Design and manage growth experiments using ICE/RICE frameworks.

2|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/Dokkabei97/forged-claude-code --skill growth-experiment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: growth-experiment
Source: https://github.com/Dokkabei97/forged-claude-code/tree/main/skills/cmo/growth-experiment
Command: npx skills add https://github.com/Dokkabei97/forged-claude-code --skill growth-experiment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill transforms growth initiatives from guesswork into a structured, repeatable process, enabling rapid learning and data-driven decision-making for startup growth.

Core Features & Use Cases

  • Systematic Experimentation: Implements the ICE/RICE frameworks for prioritizing growth ideas.
  • Structured Cycles: Guides users through hypothesis-experiment-measure-learn cycles.
  • Use Case: A startup can use this Skill to design and track 2-3 growth experiments per week, such as testing new landing page headlines or optimizing email subject lines, to systematically identify and scale effective growth strategies.

Quick Start

Use the growth-experiment skill to design a new experiment for testing email subject lines.

Frequently Asked Questions about growth-experiment

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

FAQPage Schema
How do I structure a growth experiment for my startup?

Structure a growth experiment by running hypothesis-experiment-measure-learn cycles. Use ICE/RICE frameworks to prioritize ideas and maintain a weekly experiment cadence across marketing channels like onboarding and email.

What is the ICE framework in growth hacking?

The ICE framework is a prioritization method for growth hacking that scores potential experiments. It helps transform startup growth initiatives from guesswork into a structured, repeatable process for rapid learning and data-driven decision-making.

How do I design an A/B testing cadence for marketing channels?

Design an A/B testing cadence by planning 2-3 growth experiments per week. Test variables like landing page headlines or email subject lines, and require structured documentation for experiment design, results, and learnings to scale effective strategies.

Can I use this approach to optimize onboarding and landing pages?

Yes, you can optimize onboarding and landing pages through systematic experimentation. This approach supports weekly experiment cadences across various marketing channels, requiring structured documentation to track experiment design and measure learnings.

Why do I need structured documentation for experiment design?

Structured documentation for experiment design is needed to systematically track results and learnings. It enforces the measure-and-learn phase of growth cycles, enabling data-driven decisions and preventing growth initiatives from becoming guesswork.