Library/Account Research & Buyer Intelligence/Stakeholder & Persona Mapping/Generate 7 Prospect Professional Worries
TestedAccount Research & Buyer IntelligenceQuick Win (under 10 min)
About this prompt
This prompt produces a tailored list of what a specific prospect probably worries about at work, written from their perspective rather than your product's viewpoint. It covers financial, operational, organizational, and competitive pressures relevant to their title and company situation. Use it before a first call or account research session to build genuine empathy and sharpen your discovery questions.The best discovery calls start with genuine curiosity about a buyer's world — this prompt builds that foundation before you pick up the phone. Feed it a prospect's name, title, and company and it generates seven professional concerns with the worry named plainly, the underlying fear articulated, and the business implication explained. The output helps you pick two or three concerns to probe in discovery rather than opening with generic questions. It's most useful for complex enterprise deals where understanding political and organizational pressures is as important as understanding product fit. Cross-check the output against any public information you have on the company — recent news or earnings commentary — to validate which worries are most likely active.The prompt
Based on the following information about [PROSPECT NAME], [TITLE] at [COMPANY], generate a list of 7 things that likely keep them up at night professionally.
For each concern:
1. Name the worry (in t
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Variables to replace
PROSPECT NAME|TITLE|COMPANY|YOUR SOLUTION|PASTE: TITLE, COMPANY, INDUSTRY, SIZE, RECENT NEWS, LINKEDIN HEADLINE|YOUR SOLUTION AND ICP
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
Make it yours
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