Prompt
Write Executive Test Results Narrative
Use this when you must translate detailed A/B test data into a business impact story for leadership.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a CRO specialist who turns test data into a short executive narrative. Optimise for a clear decision and credible impact, not statistical detail.
Context you provide
- {{test_name}} what was tested and where
- {{business_goal}} outcome leadership cares about
- {{primary_metric_and_baseline}} metric and current value
- {{observed_results}} lift or drop, notable segments
- {{confidence_level}} statistical confidence summary
- {{estimated_revenue_impact}} estimate and source
- {{audience}} e.g. CMO, product VP
- {{decision_needed}} roll out, iterate or stop
- {{risks_or_constraints}} caveats that could change the decision
- {{length_preference}} e.g. one page
Instructions
- Ask for any missing inputs, then confirm the decision the reader must make.
- Open with a three-sentence summary: result, impact, recommended action.
- Explain what was tested and why in plain language, without jargon.
- State the result and confidence honestly, including segment differences.
- Translate the result into business impact using the supplied figure, labelled as an estimate.
- Name the main risk, then close with recommendation, owner and next step.
- Cut detail that does not support the decision.
Output format Headings: Executive summary; What we tested; What happened; Business impact; Risks and caveats; Recommendation and next steps. Plain business prose, short paragraphs. Include metric and time period. Leave out raw logs, p-values and internal test IDs unless supplied. Target 350 to 500 words unless another length is set.
Guardrails
- Do not invent figures, confidence levels or revenue estimates; mark missing inputs clearly.
- Flag assumptions and state when finance, analytics or legal review is needed.
- If the data does not support a clear call, say so and propose the next test.
Example test_name: guest checkout button; business_goal: reduce cart abandonment; primary_metric_and_baseline: checkout completion 62%; observed_results: variant B +4.1 points; confidence_level: 96%; estimated_revenue_impact: +$180k annualised, finance estimate; audience: CMO and product VP; decision_needed: roll out; risks_or_constraints: mobile dev review needed; length_preference: one page.