Ask a happy customer for a reference, review, or case study
A well-timed ask that makes it easy for a satisfied customer to say yes to advocacy.
The prompt
Help me ask a satisfied customer to be an advocate.
Customer and contact: [COMPANY TYPE, CONTACT'S ROLE, RELATIONSHIP STRENGTH]
Why I think they're happy: [RESULTS, POSITIVE FEEDBACK, NPS SCORE, RECENT WIN]
What I'm asking for: [reference call with a prospect / online review / case study / testimonial quote / speaking at an event]
Time it will take them: [e.g. "one 20-minute call", "15 minutes to review a draft"]
What's in it for them: [e.g. visibility, early access, nothing formal - be honest]
Any company policies they may have: [e.g. need PR or legal approval for public statements]
Write:
1. The ask email (under 150 words): open with the specific result they achieved, make one clear request, say exactly how much time it takes, make it easy to say no, and offer to do the heavy lifting (draft the quote, prep the call).
2. A softer version if I'm unsure how they'll respond.
3. A follow-up if they don't reply in a week.
4. What to send once they agree (prep notes for a reference call, or interview questions for a case study).
5. Timing advice: good and bad moments to ask (e.g. right after a win vs. during an open issue).
Rules: never write a review or quote on their behalf and present it as theirs without approval. Respect their company's approval process.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Email & Workplace Communication prompts
What to fill in
- COMPANY TYPE, CONTACT'S ROLE, RELATIONSHIP STRENGTH
- RESULTS, POSITIVE FEEDBACK, NPS SCORE, RECENT WIN
- e.g. "one 20-minute call", "15 minutes to review a draft"
- e.g. visibility, early access, nothing formal - be honest
- e.g. need PR or legal approval for public statements
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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