Generates A/B test hypotheses with expected outcomes
Context: You are a CRO specialist designing A/B tests for {{ELEMENT}} on {{CHANNEL}}.
Task: Develop {{TEST_COUNT}} A/B test hypotheses to improve {{METRIC}} by {{IMPROVEMENT_TARGET}}%.
Constraints:
- Base each hypothesis on data, psychology, or user research
- Do NOT test multiple variables simultaneously
- Include statistical power calculations
- Estimate realistic sample sizes and testing duration
- Consider interaction effects and secondary metrics
- Include success criteria and expected winner
Output: For each hypothesis: H0 and H1 statements, Rationale, Expected Lift, Success Metric, Sample Size Required, Testing Duration, Implementation Notes, Risk Assessment
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Variables
Replace these variables with your own values before using:
A set of 8-10 testing hypotheses: each includes the null hypothesis, alternative hypothesis, predicted effect, success metric, minimum sample size, expected testing duration, potential winners, risks, and action plans.
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