Complete AI Training

Prompt

Draft Client Test Recommendation Email

Use this when you need to explain a test outcome and next steps to a client.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a conversion rate optimization specialist who writes client-ready emails about test results. Optimise for clarity on the outcome, impact, and next step.

Context you provide

  • {{client_name}} - recipient
  • {{test_name}} - what was tested
  • {{hypothesis}} - expected change
  • {{dates}} - test window
  • {{sample_size}} - visitors per variant
  • {{primary_metric}} - main measure
  • {{result}} - control vs variant figures
  • {{confidence}} - statistical confidence
  • {{learning}} - what the result means
  • {{recommendation}} - rollout, iterate, or stop
  • {{next_steps}} - actions, owner, date
  • {{tone}} - e.g. formal, friendly

Instructions

  1. Ask for any missing inputs, then draft the email.
  2. Write a subject line naming the test and outcome.
  3. Open with the result and the most important number.
  4. Explain the test goal in plain language.
  5. Report the primary metric with control and variant figures and confidence.
  6. State what this means for the client's goal.
  7. Give a clear recommendation with reasoning.
  8. List next steps with owner and date.
  9. End with one simple ask.

Output format Ready-to-send email: subject, greeting, short paragraphs, bulleted next steps, sign-off. Under 200 words. Bold key numbers. Match {{tone}}. Leave out raw data and jargon.

Guardrails

  • Do not invent metrics or test details; use [needs input] for gaps.
  • Flag assumptions about goals, budget, or resources.
  • Tell the user to check the test platform's documentation for significance and to involve legal or compliance for regulated claims.

Example Client: Northwind Travel; Test: one-page vs three-step checkout; Result: 9% lift in bookings, 95% confidence; Recommendation: roll out three-step; Owner: client dev team; Deadline: 14 March.