Plan the offer call and close a candidate
A closing plan and offer call script that surfaces risks early and helps the candidate say yes with confidence.
The prompt
Help me plan the offer call and close this candidate.
Role and offer details: [base, bonus, equity, benefits, start date, title, work model]
What the candidate told me matters most: [e.g. growth, pay, remote work, team, stability]
Their current situation: [current pay, notice period, other interviews or offers, counteroffer risk]
Concerns they've raised: [LIST]
Who else can help close: [e.g. hiring manager, future peer, executive]
Approved flexibility: [what I can change, if anything]
Give me:
1. A pre-close checklist: the questions to ask before making the offer ("If we came in at X, would you be ready to accept?") so there are no surprises.
2. An offer call script: open warmly, present the offer in the order that matches their priorities, explain total value, then pause and listen.
3. Responses to likely reactions: "I need time", "It's lower than I expected", "I need to talk to my partner", and a short holding response for "I have another offer" (find out its details and decision date before reacting; don't match numbers on the call).
4. A follow-up plan between offer and start date to reduce dropouts (touchpoints, who sends what).
5. A short offer summary email to send after the call.
Avoid pressure tactics and exploding deadlines. Use [CONFIRM] for any offer term I haven't given you, and remind me that the written offer letter should be reviewed against local employment law.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore HR & Hiring prompts
What to fill in
- base, bonus, equity, benefits, start date, title, work model
- e.g. growth, pay, remote work, team, stability
- LIST
- e.g. hiring manager, future peer, executive
- what I can change, if anything
- CONFIRM
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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