Does it recommend specific testing tools?

The skill provides implementation guidance for popular experimentation platforms such as PostHog, Optimizely, VWO, and LaunchDarkly for both client-side and server-side setups.

How does this skill help with statistical significance?

It provides pre-calculated sample size references and guidance on confidence intervals (p-values) to ensure your results are statistically valid and not due to random chance.

What is the 'peeking problem' mentioned in the skill?

The peeking problem occurs when you stop a test early because you see a preliminary result. This skill helps avoid false positives by committing to a pre-determined sample size.

Can I use this for multivariate testing (MVT)?

Yes, the skill covers various experiment types including A/B, A/B/n, and multivariate testing (MVT), providing context on when to use each based on your traffic volume.

A/B Testing & Experimentation Setup

Name: A/B Testing & Experimentation Setup
Author: systemifyautomation

bysystemifyautomation

0•

마케팅 자동화

Design and implement statistically valid A/B tests, multivariate experiments, and hypothesis-driven marketing trials.

This skill transforms Claude into an expert experimentation consultant, guiding users through the end-to-end process of setting up scientific A/B tests. It provides a structured framework for defining hypotheses based on data, calculating required sample sizes to avoid 'peeking' errors, and selecting primary, secondary, and guardrail metrics. Whether you are testing UI changes, pricing models, or copy variants, this skill ensures your experiments produce actionable, statistically significant insights rather than noise.

주요 기능

01Implementation strategy for client-side and server-side testing tools

02Comprehensive post-test analysis and result interpretation checklists

03Structured hypothesis framework for data-driven experiment design

040 GitHub stars

05Sample size and duration calculation to ensure statistical power

06Metric selection guidance including primary, secondary, and guardrail metrics

사용 사례

01Validating the impact of new features using controlled A/B rollouts and traffic allocation

02Refining marketing copy and visual design through multivariate testing on high-traffic pages

03Optimizing landing page conversion rates by testing different headlines and CTA placements

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add systemifyautomation/claude-marketing-skills ab-test-setup

For use in Claude.ai and ChatGPT

Download Skill