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A/B Testing Calculators & Experiment Analysis Platform

Design experiments, estimate required sample sizes, evaluate detectability, and analyze results with statistical rigor.

📋 Validate Experiment Design

Define metrics, hypotheses, traffic splits, power, and validate experiment design before running tests.

  • Make sure the experiment can actually answer your question
  • Find setup mistakes before you spend traffic or time

🔢 Sample Size Calculator for A/B Testing

Estimate how many users you need before running an A/B test. Supports binary & continuous metrics, power, MDE, and traffic splits.

  • Decide if your traffic is enough to trust the result
  • Avoid stopping too early and drawing the wrong conclusion

🎯 Minimum Detectable Effect (MDE) Calculator

Find the smallest effect your experiment can reliably detect given your sample size, metric type, power, and test design.

  • Check if a realistic improvement can be noticed at all
  • Understand if you need more users or more time

📊 Analyze Experiment Results

Analyze experiment results, compare variants against control, identify winners, and get business recommendations.

  • See whether the change really helped or not
  • Understand how confident you should be in the result
  • Decide what action to take next