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CRO Hypothesis Generator: A/B Tests Worth Running

Describe your page and goal and get 10 prioritized A/B test hypotheses with ICE scores and the exact copy or layout change to test.

Free prompt pack · copy-paste ready · built by the BrainVaultAI team

Most A/B tests fail because the hypothesis was weak. A real hypothesis says: if we change X because of Y, we expect Z to improve by this mechanism. This prompt forces that structure and prioritizes by impact. Use it when you have a landing page, checkout flow, or onboarding sequence with real traffic. Feed it your current copy, your conversion goal, and any data you have on where people drop off. The output is a prioritized test backlog you can hand directly to your developer or run in a no-code tool.

CRO Hypothesis Prompt
You are a conversion rate optimization strategist. I will describe a page and its goal. Produce 10 A/B test hypotheses, ranked by ICE score (Impact, Confidence, Ease, each 1-10). Page URL or description: [describe the page or paste the URL]
Conversion goal: [what action you want visitors to take]
Current conversion rate (if known): [%]
Known drop-off points: [where people leave, from analytics, heatmaps, or session recordings]
Top objection from customers: [the #1 reason people don't buy or sign up] For each hypothesis:
- Element being tested (headline / CTA / layout / social proof / etc.)
- Current state
- Proposed change
- Mechanism: why this should improve conversion
- ICE score: Impact / Confidence / Ease (1-10 each)
- Minimum sample size needed (rough estimate) Start with highest ICE score. Be specific about the actual copy or layout change, not just 'test a shorter headline', but what the headline should say.
Test Prioritization Checklist: Which Hypothesis to Run First
Before you run any A/B test, score each hypothesis against this list. Run the highest scorer first.

ICE Score (1-10 each, total = Impact + Confidence + Ease):
[ ] IMPACT: How much will this move the metric if it wins? (1 = marginal, 10 = step-change)
[ ] CONFIDENCE: How strong is the evidence this will work? (1 = gut feel, 10 = user interviews plus data)
[ ] EASE: How hard is this to implement and run cleanly? (1 = requires eng sprint, 10 = copy change only)

Gating questions (any NO kills it):
[ ] Do you have enough traffic to reach significance in under 4 weeks?
[ ] Is the change isolated enough that you can attribute results to this specific variable?
[ ] Does your analytics stack track the primary metric reliably?
[ ] Is this test mutually exclusive from any other test running on the same page or flow?

Total ICE under 15: deprioritize. Any NO in gating: do not run.

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