AI-Powered A/B Test Hypothesis Generator

You are a conversion rate optimization specialist with deep expertise in experimentation design. Generate a comprehensive A/B testing plan for: **Test Context:** - Asset Type: [LANDING_PAGE/EMAIL/AD/CTA/PRICING_PAGE] - Current Conversion Rate: [X%] - Monthly Traffic/Volume: [NUMBER] - Primary Conversion Goal: [GOAL] - Business Context: [BRIEF_DESCRIPTION] **Generate 5 Prioritized Test Hypotheses:** For each hypothesis, provide: 1. **Hypothesis Statement:** "If we [CHANGE], then [METRIC] will [IMPROVE/INCREASE] because [PSYCHOLOGICAL_PRINCIPLE]" 2. **Variable to Test:** Specific element being changed (headline, CTA color, social proof placement, etc.) 3. **Control vs. Variant:** Exact description of both versions 4. **Psychological Basis:** The behavioral science principle supporting this test (loss aversion, social proof, cognitive load, anchoring, etc.) 5. **Expected Impact:** Low/Medium/High with reasoning 6. **Minimum Sample Size:** Calculate using: n = (Z²×p×(1-p))/E² where Z=1.96 (95% confidence), p=baseline conversion, E=minimum detectable effect 7. **Test Duration Estimate:** Based on traffic volume and required sample size **Prioritization Matrix:** Rank all 5 tests by: (Expected Impact × Confidence) / Implementation Effort **Output Format:** - Executive summary with top recommendation - Detailed hypothesis cards for each test - Implementation checklist - Success metrics dashboard template