A/B Testing & Experimentation

Hypothesis Template Generator

Create structured, testable hypotheses using the if-then-because framework with clear success metrics and measurement plans.

Hypothesis Template Generator

Create structured, testable hypotheses for your experiments using the if-then-because framework. Perfect for A/B tests and product experiments.

Core Hypothesis

Observation / Insight *

Proposed Change *

Expected Impact *

Measurement

Primary Success Metric *

Secondary Metrics (optional)

Measurement Plan *

Success Criteria *

Additional Context (Optional)

Assumptions

Risks

Estimated Effort

Required Fields Missing

• Observation is required
• Proposed change is required
• Expected impact is required
• Success metric is required
• Measurement plan is required
• Success criteria is required

Generated Hypothesis

Fill in required fields to generate hypothesis

Hypothesis Best Practices

• Base hypotheses on data, research, or user feedback
• Make them specific and testable with clear metrics
• Include quantified expected impact (e.g., "increase by 15%")
• Define success criteria before running experiments
• Keep scope manageable - test one change at a time
• Document assumptions to validate or invalidate them
• Share hypotheses with team for alignment and feedback

Learn More in The Course

This tool is derived from Module 1 of "The Ultimate Growth Engineering Course." Learn the complete experimentation framework, how to design better tests, and interpret results like a pro.

Explore the Course