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design-experiment

Design A/B experiments with hypotheses, metrics, randomization, and guardrails.

1|Updated Mar 19, 2026
Search Tags:#design#metrics#experimentation#guardrails#randomization#ab-testing#experiment-design
One-click install
npx skills add https://github.com/weisberg/agile_agentic_analytics --skill design-experiment-weisberg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: design-experiment
Source: https://github.com/weisberg/agile_agentic_analytics/tree/main/plugins/ab-testing/skills/design-experiment
Command: npx skills add https://github.com/weisberg/agile_agentic_analytics --skill design-experiment-weisberg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design rigorous A/B experiments with clear hypotheses, measurable metrics, guardrails, and a reproducible plan to reduce ambiguity and risk in product decisions.

Core Features & Use Cases

  • Structured Experiment Design Document: produces an end-to-end plan including hypothesis, primary/secondary metrics, randomization unit, traffic allocation, and duration.
  • Guardrails and risk mitigation: identifies metrics that must not degrade and flags potential conflicts with other experiments.
  • Reproducibility and logging: generates a pre-registration style document and scaffolds for tracking results.
  • Use Case: starting a new test or formalizing an existing idea into a test blueprint for web, mobile, or API features.

Quick Start

Tell me the product change you want to test and I will generate a complete experiment design.

Frequently Asked Questions about design-experiment

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

FAQPage Schema
How do I design an A/B test with proper guardrails and metrics?▼

To design an A/B test, you input your product change to generate a complete experiment design document containing a structured hypothesis, primary and secondary metrics, guardrails, randomization unit, and traffic allocation.

What is an experiment design document and what should it include?▼

An experiment design document is a pre-registration style blueprint that formalizes an A/B test idea by defining the hypothesis, measurable metrics, guardrails, randomization unit, traffic allocation, and test duration to ensure reproducibility.

How do I formalize an existing product idea into a testable experiment blueprint?▼

You formalize a product idea by providing the proposed change to generate a structured experiment blueprint, which translates the concept into clear hypotheses, measurable metrics, risk mitigation guardrails, and a reproducible testing plan.

How do I set up guardrails and risk mitigation for web and mobile A/B testing?▼

Setting up guardrails for web and mobile A/B testing involves identifying specific metrics that must not degrade during the test and flagging potential conflicts with other simultaneous experiments to mitigate risk.

Can I use this experiment design process for API products as well as web and mobile features?▼

Yes, this experiment design process supports starting a new test or formalizing an existing test blueprint across web, mobile, and API products by delivering a complete plan with randomization and traffic allocation details.

What's the best way to plan traffic allocation and randomization for an A/B experiment?▼

Planning traffic allocation and randomization involves defining the randomization unit and traffic exposure within the experiment design document, ensuring your A/B test is structured for rigorous and reproducible results.

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