15 GPT-5.5 Prompts to generate A/B Tests Ideas
I built 15 prompts that turn GPT-5.5 into a senior CRO strategist. Most A/B test ideas fail because they start with opinions, not evidence. "Let's try a green button."
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What you get
"What if we made the headline bigger?"
"I read on Twitter that urgency works."
That's not CRO. That's guessing with extra steps.
Not "write me a headline" prompts.
Hypothesis-grade prompts. Backed by psychology, friction analysis, and prioritization logic.
You get 15 prompts inside the playbook:
Diagnose: funnel drop-offs, session replays, cart abandonment
Hypothesize: psychology-backed, JTBD, objection stack
Sharpen: headlines, CTAs, above-fold rebuilds
Validate: heatmaps + voice-of-customer
Prioritize: ICE ranking, devil's advocate, post-test compounder
This is the exact stack we use at DRIP across 4,000+ A/B tests and €500M+ in tracked revenue for brands like HelloFresh and SNOCKS.
Two rules we don't break:
1\. AI generates hypotheses. Never decisions.
2\. No test runs without a learning hypothesis. If you can't articulate what a loss teaches you, the test isn't worth running.
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Free. Five quick questions, then it's yours.
Not sure where your shop leaks? Book a call and we'll tell you where the money gets lost and what to test first.
Keep reading
More resources
Statistics tools
Calculators for planning and reading your A/B tests: significance, sample size and test economics.
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DRIP Iterative Prioritization
A prioritization system to decide what to test first, reduce low-impact experiments, and continuously improve test velocity.
Open the tool
DRIP Rapid Testing Protocol
A fast execution protocol to go from hypothesis to live experiment with clear ownership, timelines, and feedback loops.
Open the toolRun your next test in Apex
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