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Project Overview
The A/B Test Sample Size Calculator is a small decision-support tool designed to help teams determine how much data is required to run a statistically meaningful A/B test. It addresses a core planning question in experimentation: how large does the experiment need to be to reliably detect a given effect?
By making sample size calculations interactive, the application helps balance statistical rigor with practical constraints such as traffic volume and experiment duration.
Key Features & Components
Sample size estimation for A/B tests
Calculates the required number of observations per group given target effect size, power, significance level, and variance assumptions.
Experiment planning support
Helps teams assess whether a proposed test is feasible with available traffic and within acceptable timeframes.
Design trade-off exploration
Makes explicit how stricter power requirements or smaller target effects increase sample size demands.
Read more about sample size estimation for A/B tests here
Live Demo
The application can be accessed online:
Implementation
- Implemented in R using Shiny, translating standard frequentist sample size formulas into an interactive application.
- Designed with a minimal interface to enable rapid iteration and clear understanding of statistical trade-offs.
See details of implementation in the project repository
Outcomes & Impact
TipExperimentation efficiency
Helps avoid underpowered or impractically large experiments.
TipInformed decision-making
Improves alignment between analytical requirements and business constraints.
TipExperimentation discipline
Demonstrates how focused analytical tools can improve experimentation discipline.
Skills Demonstrated
A/B testing • Sample size estimation • Experimental design • Power analysis • Applied statistics • Shiny app development
Apply This to Your Business
If your organization runs A/B tests or experiments, feel free to reach out via contact page to discuss how similar tools can be developed to enhance your experimentation workflows.
See Also
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