ab-test-designer
Design robust A/B test experiments. Use when testing a new feature, validating a hypothesis, or optimizing conversion rates.
By pmprompt · 366 installs
npx skills add pmprompt/claude-plugin-product-management --skill ab-test-designer
Source repository · Upstream listing
Domain Context
This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day to day PM work.
Input Requirements
Context about your product, feature, or problem
Relevant data, research, or constraints (recommended but optional)
Clear articulation of what you're trying to achieve
A/B Test Designer
When to Use
Testing a new feature or design variation
Validating a hypothesis before full rollout
Optimizing conversion rates or key metrics
Choosing between multiple design approaches
Need to make a data driven decision on a change
What This Skill Does
Helps you design rigorous A/B tests with clear hypotheses, success metrics, sample size calculations, and analysis plans.
Instructions
Help me design an A/B test for [feature/change]. Include:
1. Hypothesis
Current situation and metrics
Proposed change
Expected impact and why
2. Test Design
Primary success metric
Secondary metrics
Sample size needed
Test duration
User segments to include/exclude
3. Variants
Control (A): current experience
Variant (B): new experience
Any additional variants (C, D, etc.)
4. Risks and Controls
Potential negative impacts
Guardrail metrics
When to stop the test early
5. Analysis Plan
Statistical significance threshold
How to handle edge cases
Decision criteria
Feature context:
[Add context about the change you want to test]
Best Practices
Start with a clear, falsifiable hypothesis
Choose one primary metric to avoid multiple comparison issues
Calculate sample size upfront based on expected effect size
Run tests for full weekly cycles to account for day of week effects
Set a minimum test duration (usually 1 2 weeks)
Define success criteria before running the test
Monitor guardrail metrics (revenue, errors, performance)
Example
Input: Testing new onboarding flow vs current 3 step process
Output: Hypothesis (new 1 step flow will increase co...