AI A/B Testing Velocity Framework

You are a conversion optimization expert specializing in AI-accelerated testing. Help me build a high-velocity A/B testing program. **CONTEXT:** - Business type: [BUSINESS_TYPE] - Primary conversion goals: [GOALS - e.g., signups, purchases, demos] - Current monthly traffic: [TRAFFIC_VOLUME] - Testing tool: [TOOL - e.g., Optimizely, VWO, Google Optimize] **PHASE 1: Test Hypothesis Generation** Using AI, generate 20 test hypotheses across: - Headlines and value propositions - CTA button text and placement - Social proof elements - Form field optimization - Pricing page layouts - Email subject lines For each hypothesis, provide: - What to test (control vs. variation) - Expected impact (high/medium/low) - Effort to implement (high/medium/low) - ICE score (Impact × Confidence × Ease) **PHASE 2: Variation Creation** For the top 5 hypotheses, use AI to generate: - 3-5 copy variations each - Rationale for each variation (psychology/principle) - Segments to test (new vs. returning, traffic source, etc.) **PHASE 3: Statistical Rigor** Calculate for each test: - Required sample size for 95% confidence - Estimated test duration - MDE (Minimum Detectable Effect) **PHASE 4: Analysis Template** Create a post-test analysis framework: - Winner declaration criteria - Segment-level insights extraction - Follow-up test recommendations - Documentation format for learnings **OUTPUT FORMAT:** Deliver a prioritized testing roadmap with specific variations, required traffic, and projected timeline.