experiment

Name: experiment
Availability: InStock
Author: mentilead

Manage Shopify app marketing experiment lifecycles with ICE scoring and funnel data.

Updated Feb 22, 2026

Search Tags:#app store optimization #marketing #growth #hypothesis #experimentation #shopify #ice scoring

Ready to run

npx skills add https://github.com/mentilead/growthOS --skill experiment-mentilead

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: experiment
Source: https://github.com/mentilead/growthOS/tree/main/skills/experiment-engine
Command: npx skills add https://github.com/mentilead/growthOS --skill experiment-mentilead

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps Shopify app developers systematically manage marketing experiments to drive growth, overcoming the common challenge of not knowing how to market effectively.

Core Features & Use Cases

Experiment Creation: Define hypotheses, set ICE scores, and establish success criteria for new marketing tests.
Backlog Management: Prioritize and organize experiments based on their potential impact and ease of execution.
Review & Analysis: Track running experiments, record results, analyze outcomes against benchmarks, and document learnings.
Suggestion Engine: Get data-driven experiment ideas based on funnel bottlenecks and pre-built templates.
Use Case: A developer wants to test a new app store title to improve conversion rates. They use this Skill to create a new experiment, track its performance over two weeks, and record the learnings for future strategy.

Quick Start

Use the experiment skill to create a new experiment for the 'photo-editor' app.

Frequently Asked Questions about experiment

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

FAQPage Schema

How do I manage marketing experiments for Shopify app growth?▼

You can manage marketing experiments by creating hypotheses, setting ICE scores, and tracking execution against success criteria. The skill maintains a persistent experiment backlog and documents learnings to drive Shopify app growth.

What is ICE scoring and how does it prioritize app store optimization tests?▼

ICE scoring prioritizes app store optimization tests by evaluating impact, confidence, and ease. The framework ranks your experiment backlog to identify which marketing hypotheses offer the highest potential return for your Shopify app.

How do I track running marketing experiments and record results?▼

You track running marketing experiments by reviewing active tests, recording outcomes against benchmarks, and documenting learnings in persistent memory. This lifecycle management enforces active experiment limits to ensure valid test results.

Can I use this skill to get data-driven marketing experiment ideas?▼

Yes, you can generate data-driven marketing experiment ideas through the suggestion engine. It analyzes funnel bottlenecks and uses pre-built templates to recommend new hypotheses for your Shopify app optimization tests.

Does this experimentation skill integrate with funnel data to identify optimization opportunities?▼

Yes, the experimentation skill integrates with funnel data to identify optimization opportunities. It analyzes funnel bottlenecks to generate targeted marketing test suggestions and structure your experiment backlog effectively.

What is the best way to structure a hypothesis for an app store optimization experiment?▼

The best way to structure an app store optimization hypothesis is using the built-in structured framework. You define the hypothesis, set ICE scores for prioritization, and establish clear success criteria before tracking execution.