experiment-ab-testing-ops

Community

Disciplined A/B testing SOP for product teams.

AuthorXiaoPuOuO
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Provides a structured, hypothesis-driven framework to plan, execute, and interpret experiments for AI SaaS products, reducing guesswork and aligning stakeholders around measurable outcomes.

Core Features & Use Cases

  • Single primary hypothesis: Enforces one falsifiable product hypothesis per experiment to maintain clarity.
  • Metric & guardrail clarity: Requires a defined primary metric and a set of guardrails to detect harm or waste.
  • End-to-end planning: Covers hypothesis, segmentation, sample sizing, stop rules, rollout decisions, and interpretation plan.
  • Governance and rollout decisions: Guides product teams on ship, hold, iterate, or reject outcomes with safety and business trade-offs.

Quick Start

Draft a complete experiment plan from hypothesis to rollout decision.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: experiment-ab-testing-ops
Download link: https://github.com/XiaoPuOuO/VFactory/archive/main.zip#experiment-ab-testing-ops

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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