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experiment-design

Design growth experiments with hypotheses, ICE scoring, and success criteria.

46|11|Updated Mar 29, 2026
Search Tags:#design#metrics#growth#a/b testing#experiments#hypotheses#ice scoring
One-click install
npx skills add https://github.com/clawpod-app/awesome-openclaw-agent-packs --skill experiment-design-clawpod-app
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: experiment-design
Source: https://github.com/clawpod-app/awesome-openclaw-agent-packs/tree/main/packs/growth/skills/experiment-design
Command: npx skills add https://github.com/clawpod-app/awesome-openclaw-agent-packs --skill experiment-design-clawpod-app

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design teams need a repeatable framework to validate ideas, measure impact, and reduce guesswork when pursuing growth.

Core Features & Use Cases

  • Define growth levers (acquisition, activation, retention, revenue, referral) and the metric to improve.
  • Generate 3-5 experiment ideas and score them with ICE (Impact, Confidence, Ease).
  • Produce a complete experiment specification with hypotheses, target metrics, sample size, duration, and success criteria.
  • Use cases include channel tests, funnel optimizations, feature experiments, and onboarding improvements.

Quick Start

Use this skill to craft a structured plan by specifying the target metric and desired outcome, and ask for a top experiment with full details.

Frequently Asked Questions about experiment-design

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

FAQPage Schema
How do I design growth experiments with ICE scoring?▼

Growth experiments are structured using ICE scoring to evaluate 3-5 generated ideas, then producing a detailed experiment specification with hypotheses, target metrics, sample size, duration, and success criteria.

What is the best way to structure a hypothesis for a funnel optimization experiment?▼

A funnel optimization hypothesis defines the target metric, expected outcome, and success criteria. This framework validates if specific changes reliably boost the desired growth metric.

Can I use this framework for channel tests and feature experiments?▼

Yes, this experiment design framework applies to channel tests, feature experiments, funnel optimizations, and onboarding improvements across marketing, product, and growth initiatives.

How do I prioritize A/B testing ideas for acquisition and retention?▼

Prioritize A/B testing ideas by applying ICE scoring across impact, confidence, and ease to selected growth levers like acquisition, activation, retention, revenue, or referral.

What metrics do I need to define before running a growth test?▼

Before running a growth test, define the specific growth lever to improve, the target metric, the desired outcome, and the success criterion to ensure reliable measurement of the experiment's impact.

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