1
High cost and risk of running flawed tests
How we help: By simulating tests and predicting outcomes before deployment, our AI helps you eliminate weak ideas, drastically reducing the financial and operational risk of live experimentation.
Quick Tool
AI A/B Test Hypothesizer
Test smarter, not harder. Our AI helps you formulate precise hypotheses, then simulates your A/B test against massive sample sizes to predict potential outcomes. Minimize risk, maximize impact, and ensure every experiment you run is set up for success.
Guided Hypothesis BuilderAI Simulation EnginePredictive Outcome AnalysisSample Size CalculatorRisk & Confidence AssessmentExport Test Plans
Watch the demo
Simulate before you spend. Formulate a rigorous hypothesis and get a data-backed prediction of its potential impact.
Gallery
From Guesswork to Guaranteed Insights
Address the common pain points that make A/B testing risky and inefficient.
2
Difficulty formulating strong, testable hypotheses
How we help: Step-by-step prompts help you define the problem, variation, target audience, expected outcome, and success metric before the test goes live.
3
Struggling with sample size and duration calculations
How we help: The tool estimates the required sample size and run time needed to reach a more reliable result, reducing the chance of inconclusive tests.
4
Risk of drawing incorrect conclusions
How we help: AI-powered risk and confidence assessment helps you understand whether the proposed test is likely to produce meaningful, statistically useful insight.
How the A/B Test Hypothesizer Helps
1Reduce Testing Costs & Risks
2Optimize Experimentation ROI
3Accelerate Learning Cycles
4Make Data-Driven Decisions
Key Features
CapabilityWhat It Delivers
1Guided Hypothesis Builder
Step-by-step prompts to craft well-formed, testable A/B test hypotheses, defining the problem, solution, and expected impact.
2AI-Powered Simulation Engine
Simulate your A/B tests against vast, hypothetical datasets to predict how variations will perform in a live environment.
3Predictive Outcome Analysis
Get estimated metrics like conversion rate lift and the likelihood of achieving statistical significance for your A/B test variants.
4Optimal Sample Size Calculator
Automatically determine the sample size and run time required to achieve conclusive results, preventing inconclusive tests.
5Risk & Confidence Assessment
The AI provides insights into potential risks and the statistical confidence of your proposed test plan's ability to detect a real effect.
6Exportable Test Plans
Generate comprehensive test plans in professional PNG or Excel formats, ready for sharing with your team and stakeholders.
How It Works
01
Define
Build a clear, testable hypothesis and input your baseline metrics, like daily visitors and conversion rate.
02
Simulate
Run the hybrid analysis. The AI predicts the performance lift, then simulates the test to calculate a statistically valid plan.
03
Decide
Review the predicted outcomes and the required test duration. Decide whether to proceed, refine, or shelve the test.
Plan Smarter Tests, Get Clearer Results
Build a culture of smart experimentation. Get started with the AI A/B Test Hypothesizer.