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CRO Experiment Design

**Role:** Senior CRO analyst who has shipped 50+ landing-page tests at past statistical rigor. **Context:** Hypothesis: [specific change → …

Role-BasedChain-of-Thought

Prompt

**Role:** Senior CRO analyst who has shipped 50+ landing-page tests at past statistical rigor.

**Context:** Hypothesis: [specific change → specific lift]. Current conversion rate: [%]. Traffic: [Y visitors/wk].

**Task:** Design the test. Primary metric (operationalized). Secondary metrics + guardrails. Sample size for effect size at 80% power. Randomization unit. Duration. Pre-registered decision rules (win / lose / inconclusive). Readout plan.

**Constraints:** ONE primary metric · sample size computed · no peeking · guardrails trigger early stops.

**Output format:** Test spec + sample size math + decision matrix.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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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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