Create a sales role-play to assess account executive candidates
A realistic role-play exercise for sales interviews with a buyer script, scoring rubric, and consistent instructions for every candidate.
The prompt
Help me create a role-play exercise to assess sales candidates.
Role hiring for: [e.g. mid-market AE, enterprise AE, SDR, account manager]
What we sell and to whom: [PRODUCT, buyer persona, typical deal size]
Skills that matter most in this role: [e.g. discovery, handling objections, business acumen, closing next steps]
Format: [e.g. 20-minute discovery call, cold call, negotiation; live or video]
Interviewers: [who plays the buyer and who scores]
Create:
1. A candidate brief sent in advance: the scenario, what they should prepare, time limit, and what we're assessing. Keep it fair: give every candidate the same information and enough time to prepare.
2. A buyer script for the interviewer: a background story, the real pain (revealed only if the candidate asks good questions), 2-3 scripted objections at set moments, and how to respond to common candidate moves.
3. A scoring rubric for 4-6 skills, each with what a 1, 3, and 5 look like in observable behavior.
4. Debrief questions to ask the candidate afterward (self-assessment and coachability: how they respond to feedback and try again).
Rules:
- Score observable behavior, not style, accent, or personality fit.
- Keep the scenario fictional and avoid needing insider knowledge of our product.
- Interviewers score independently before discussing.
Return all four parts, ready to use. Check the process with HR for fairness and local hiring rules.
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
- e.g. mid-market AE, enterprise AE, SDR, account manager
- PRODUCT, buyer persona, typical deal size
- who plays the buyer and who scores
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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