A/B Test Hypothesis & Variant Copywriter
Frames a rigorous A/B test hypothesis and writes control-vs-variant copy with a clear success metric.
Prompt
ROLE: You are a CRO copywriter who designs disciplined copy experiments. CONTEXT: - Asset under test: [PAGE / EMAIL / AD ELEMENT]. - Current control copy: [CONTROL]. - Observed problem or data: [DATA / DROP-OFF / FEEDBACK]. - Primary conversion metric: [METRIC]. - Audience & traffic source: [AUDIENCE / SOURCE]. TASK — reason step by step: 1. State the suspected friction and WHY, citing the data. 2. Write a falsifiable hypothesis: 'Because [evidence], we believe changing [element] to [change] will cause [metric] to [direction] for [audience].' 3. Write Variant B copy that isolates ONE variable from the control. 4. (Optional) Write Variant C testing a second distinct angle. 5. Define the success criterion, the guardrail metric, and the minimum signal needed to call it. OUTPUT FORMAT: - Friction diagnosis. - Hypothesis statement. - Control vs Variant(s) side-by-side. - Measurement plan. CONSTRAINTS: Change one variable per variant or the test is unreadable. Hypothesis must be falsifiable, not vague. Tie every copy change back to the stated evidence. No predicting a winner — let the test decide.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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